Modeling and test of flywheel vibration isolation system for space telescope

Li, Lin; Tan, Luyang; Lin, Kong; Wang, Dong

doi:10.21595/jve.2016.17520

Journal of Vibroengineering

Browse Journal

Submit article

Published: 15 May 2017

Check for updates

Modeling and test of flywheel vibration isolation system for space telescope

Lin Li¹

Luyang Tan²

Kong Lin³

Dong Wang⁴

^{1, 2}University of Chinese Academy of Sciences, Beijing 100049, China

^{1, 2, 3, 4}Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China

^{3, 4}Chang Guang Satellite Technology Ltd., Changchun 130033, China

Corresponding Author:

Dong Wang

Cite the article Download PDF

Downloads 1503

WoS Core Citations 4

CrossRef Citations 3

Abstract

Studied on the flywheel micro vibration isolator of a space telescope, the relationship between input and output (I-O) disturbance force and velocity vector is described by the characteristic transfer matrix in the subsystem of the flywheel vibration isolation. The elastic support coupling vibration transfer matrix of the vibration isolator is derived, and the vibration transfer characteristics of the vibration isolation system are studied. The dynamic model of the three degrees coupled vibration isolation system about the flywheel micro vibration excitation, multi elastic support and basic structure is established on the admittance method and partition subsystem. Model simulation and the flywheel vibration isolation system test results show that the two spectra are consistent basically in the frequency components, the form of vortex frequency curve and the change of amplitude, which indicates that the key factors of the vibration characteristics of the flywheel vibration isolation system are accurate and the theoretical analysis is correct. The sub structure analysis method effectively avoids the complexity of the solution of the state vector of the sub structure coupling interface. The elastic support coupled vibration transfer matrix can solve the problem of the sub structure integration and merging, and integrated modeling and analysis in active and passive support system.

1. Introductions

Attitude control actuator is the core technology of the precision and high stability space telescope [1, 2]. Flywheel as attitude control and attitude stabilization equipment in space telescope, it will generate additional disturbance force and torque when spins on orbit, which will affect the accuracy, stability, and imaging quality of the telescope [3, 4].

Micro vibration on the influence of the payload is more complex, which involves structure, control and optical system. Integrated modeling technology is an effective analysis method. It refers to that on the basis of the structure, control and load system modeling, according to the physical connection of the micro vibration in the transmission path of each subsystem, the system model is integrated. And a system level dynamic I-O mathematical model, which can fully reflect the influence of various coupling effects on the key performance indicators of the spacecraft, is finally formed. Many research institutes have made a research on the integrated modeling system in the world. NASA established a model of Integrated Modeling Environment [5].United States Air Jet Propulsion Laboratory established the Integrated Modeling of Optical Systems [6]. Massachusetts Institute of Technology established the Disturbance Optics Controls Structures [7]. They provide system level comprehensive performance evaluation and error analysis methods, which have been successfully applied to the development of high resolution space telescope JWST [8], SIM [9] and TPF [10]. Luo Q., Li D. and Zhou W. addressed the dynamic modeling and analysis of the micro-vibration isolation of flywheel assemblies [11]. Yu J., Yamaura H., Oishi T., et al focused on vibrations caused by loading torque of printing mediums when they were delivered into the machinery. The system was modeled as a four-rollers-belt with a stepper motor based on exist apparatus [12]. By considering the flywheel and the platform as an integral system with gyroscopic effects, Wei Z., Li D., Luo Q., et al developed an equivalent dynamic model and verified through eigenvalue and frequency response analysis [13].

The above literatures on the micro vibration of the flywheel are mainly integrated modeling. Modeling of the transmission characteristics of the flywheel vibration isolator is not carried out. In this paper, the dynamic model of the three degrees coupled vibration isolation system about the flywheel micro vibration excitation, multi-elastic support and basic structure is established on the admittance method and partition subsystem. The relationship between I-O disturbance force and velocity vector is described by the characteristic transfer matrix in the subsystem of the flywheel vibration isolation.

According to the structure parameters and the micro vibration characteristics of a certain type of flywheel, the model is simulated to obtain the output vibration power waterfall plot. We got the flywheel vibration isolation system waterfall plot as well by testing the flywheel isolation system using multi component device. The results indicated that the key factors of the vibration characteristics of the flywheel vibration isolation system are accurate and the theoretical analysis is correct.

2. Flywheel vibration isolation system model

The flywheel vibration isolator adopts four points supporting symmetrical radiation type arrangement and the vibration isolation device is arranged in a radiation pattern, which is shown in Fig. 1. Along with the coupling structure department, the flywheel isolation system is divided into three subsystems, including source quality $A$ , isolation vibration bearing $B$ , and supporting basic $C$ . Each subsystem represents one or more rigid distributed parameter components of the total system. The rigid element has six degrees of freedom, and the structure of the distributed parameter is allowed to be more than one degree of freedom. According to the direction of the energy flow, the system force and velocity vectors of I-O terminals are defined, and the overall characteristic transfer matrix model of the system is established, which is shown in Fig. 2. Each transfer structure represents a subsystem of the whole system.

Fig. 1Flywheel vibration isolation system

a) Face view of vibration isolation system

b) Top view of vibration isolation system

Fig. 2Dynamic characteristic transfer matrix model of vibration isolation system

The I-O state vectors of each subsystem and the characteristic matrix $α_{i j}$ , $β_{i j}$ , $γ_{i j}$ constitute the basic integrated unit of the analysis model transfer matrix.

3. Coupled vibration transfer characteristics

3.1. Flywheel sub-structure disturbance characteristic transfer matrix

The natural frequency of the flywheel is much larger than that of the disturbed excitation frequency, so it can be regarded as a general three-dimensional rigid structure. $F_{e}$ is expressed as the generalized disturbance force vector acting on the flywheel centroid, $v_{e}$ is the generalized velocity response vector of the flywheel centroid. The generalized force and the velocity vector of the flywheel disturbance output, which connected with subsystem through $n$ ( $n =$ 4) coupling point, are $F_{a}$ and $v_{a}$ :

1

F_{e} = {[\begin{array}{l} F_{e x} & F_{e y} & F_{e z} & T_{e x} & T_{e y} & T_{e z} \end{array}]}^{T},

v_{e} = {[\begin{array}{l} v_{e x} & v_{e y} & v_{e z} & {\dot{θ}}_{e x} & {\dot{θ}}_{e y} & {\dot{θ}}_{e z} \end{array}]}^{T},

F_{a} = {[\begin{array}{l} F_{a}^{1} & F_{a}^{2} & \dots & F_{a}^{n} \end{array}]}^{T}, v_{a} = {[\begin{array}{l} v_{a}^{1} & v_{a}^{2} & \dots & v_{a}^{n} \end{array}]}^{T} .

According to the law of dynamics and structure geometry relation, the translational and rotational motion equations of the micro vibration source of the flywheel, under the generalized harmonic exciting force [14], are expressed as Eq. (2) in the form of admittance matrix [15]:

2

[\begin{array}{l} v_{e} \\ v_{a} \end{array}] = M_{i j} [\begin{array}{l} F_{e} \\ F_{a} \end{array}], i, j = 1, 2,

where, the element matrixes $M_{i j}$ are:

3

M_{11} = \frac{1}{j w} J^{- 1},

4

M_{12} = M_{11} T_{F},

5

M_{21} = T_{V} M_{11},

6

M_{22} = T_{V} M_{11} T_{F},

where, $J$ represents the inertia diagonal matrix of the flywheel centroid, $w$ is the exciting frequency, $j = \sqrt{- 1}$ .

$T_{F}$ is the mass output vector of micro vibration and $T_{V}$ is the generalized vector of centroid, which are under rigid constraint conditions:

7

F_{e} = T_{F} F_{a},

8

v_{a} = T_{v} v_{e} .

Combined the I-O state vectors of the micro vibration source mass, the Eq. (2) is transformed into Eq. (9):

9

[\begin{array}{l} F_{e} \\ v_{e} \end{array}] = α_{i j} [\begin{array}{l} F_{e} \\ v_{a} \end{array}], i, j = 1, 2 .

The characteristic transfer matrix $α_{i j}$ is derived from the admittance matrix, which is expressed as Eq. (10):

10

α_{i j} = [\begin{matrix} - M_{21}^{- 1} M_{22} & M_{21}^{- 1} \\ M_{12} - M_{11} M_{21}^{- 1} M_{22} & M_{11} M_{21}^{- 1} \end{matrix}] .

3.2. Vibration isolator characteristics

The flywheel vibration isolator is modeled [16] as a cylindrical continuous elastic rod with a density $ρ$ and damping $η$ . A dynamic model of multi input and multi output structure is established, which is shown in Fig. 3.

In Fig. 3, the generalized force and velocity response vectors of the I-O terminals are:

11

F_{b 1}^{k} = {[\begin{array}{l} F_{b 1 x}^{k} & F_{b 1 y}^{k} & F_{b 1 z}^{k} & T_{b 1 x}^{k} & T_{b 1 y}^{k} & T_{b 1 z}^{k} \end{array}]}^{T},

v_{b 1}^{k} = {[\begin{array}{l} v_{b 1 x}^{k} & v_{b 1 y}^{k} & v_{b 1 z}^{k} & {\dot{θ}}_{b 1 x}^{k} & {\dot{θ}}_{b 1 y}^{k} & {\dot{θ}}_{b 1 z}^{k} \end{array}]}^{T},

F_{b 2}^{k} = {[\begin{array}{l} F_{b 2 x}^{k} & F_{b 2 y}^{k} & F_{b 2 z}^{k} & T_{b 2 x}^{k} & T_{b 2 y}^{k} & T_{b 2 z}^{k} \end{array}]}^{T},

v_{b 2}^{k} = {[\begin{array}{l} v_{b 2 x}^{k} & v_{b 2 y}^{k} & v_{b 2 z}^{k} & {\dot{θ}}_{b 2 x}^{k} & {\dot{θ}}_{b 2 y}^{k} & {\dot{θ}}_{b 2 z}^{k} \end{array}]}^{T} .

The transfer matrix equation for the dynamic characteristic of the vibration isolation system is Eq. (12):

12

[\begin{array}{l} F_{b 1}^{k} \\ v_{b 1}^{k} \end{array}] = B_{i j}^{k} [\begin{array}{l} F_{b 2}^{k} \\ v_{b 2}^{k} \end{array}], i, j = 1,2, k = 1,2, \dots, n,

where, $B_{i j}^{k}$ is the three-dimensional coupling vibration isolator transfer matrix, which can be determined by structural generalized admittance frequency response function [17] based on modal analysis[18, 19]. The detailed derivation process is as follows.

As shown in Fig. 3, the I-O force and moment are $F_{b y 1}$ , $F_{b z 1}$ , $T_{b x 1}$ and $F_{b y 2}$ , $F_{b z 2}$ , $T_{b x 2}$ . We can get the transfer admittance frequency response function by modal analysis method:

13

R_{v b y 1} F_{b y 1} = - j w η \frac{c o s λ_{f} h s i n h λ_{f} h - s i n λ_{f} h c o s h λ_{f} h}{E_{σ}^{*} I λ_{f}^{3} (c o s λ_{f} h c o s h λ_{f} h - 1)}, R_{v b y 2} F_{b y 2} = R_{v b y 1} F_{b y 1},

R_{v b y 1} T_{b x 1} = - j w η \frac{s i n h λ_{f} h \cdot s i n h λ_{f} h}{E_{σ}^{*} I λ_{f}^{2} (c o s λ_{f} h c o s h λ_{f} h - 1)}, R_{v b y 2} T_{b x 2} = - R_{v b y 1} T_{b x 1},

R_{v b z 1} F_{b z 1} = - j w η \frac{c o s λ_{1} h}{A E_{σ}^{*} λ_{1} s i n λ_{1} h}, R_{v b x 2} F_{b z 2} = R_{v b z 1} F_{b z 1},

R_{\dot{θ} b x 1} F_{b y 1} = R_{v b y 1} T_{b x 1}, R_{\dot{θ} b x 2} F_{b y 2} = - R_{\dot{θ} b x 1} F_{b y 1},

R_{\dot{θ} b x 2} T_{b x 2} = j w η \frac{c o s λ_{f} h s i n h λ_{f} h + s i n λ_{f} h c o s h λ_{f} h}{E_{σ}^{*} I λ_{f} (c o s λ_{f} h c o s h λ_{f} h - 1)}, R_{\dot{θ} b x 2} T_{b x 2} = R_{\dot{θ} b x 2} T_{b x 2},

R_{v b y 2} F_{b y 1} = j w η \frac{s i n λ_{f} h - s i n h λ_{f} h}{E_{σ}^{*} I λ_{f}^{3} (c o s λ_{f} h c o s h λ_{f} h - 1)}, R_{v b y 1} F_{b y 2} = R_{v b y 2} F_{b y 1},

R_{v b y 2} T_{b x 1} = - j w η \frac{c o s λ_{f} h - c o s h λ_{f} h}{E_{σ}^{*} I λ_{f}^{2} (c o s λ_{f} h c o s h λ_{f} h - 1)}, R_{v b y 1} T_{b x 2} = - R_{v b y 2} T_{b x 1},

R_{v b z 2} F_{b z 1} = - j w η \frac{1}{A E_{σ}^{*} λ_{1} s i n λ_{1} h}, R_{v b z 1} F_{b z 2} = R_{v b z 2} F_{b z 1},

R_{\dot{θ} b x 2} F_{b y 1} = - R_{v b y 2} T_{b x 1}, R_{\dot{θ} b x 1} F_{b y 2} = - R_{\dot{θ} b x 2} F_{b y 1},

R_{\dot{θ} b x 2} T_{b x 1} = j w η \frac{s i n λ_{f} h + s i n h λ_{f} h}{E_{σ}^{*} I λ_{f} (c o s λ_{f} h c o s h λ_{f} h - 1)}, R_{\dot{θ} b x 1} T_{b x 2} = R_{\dot{θ} b x 2} T_{b x 1},

where, $λ_{f}$ is the structure bending wave number, $λ_{1}$ is longitudinal wave complex wave number. $h$ is supporting structure height, $A$ is section area and $I$ is moment of inertia. $E_{σ}^{*}$ is the elastic modulus.

Considering the coupling relationship between I-O of each motion component, the vibration isolation support characteristic transfer matrix ${\bar{B}}_{i j}$ for the symmetry plane $O y z$ is derived, which is shown as follows:

14

{\bar{B}}_{i j} = [\begin{matrix} - T_{21}^{- 1} T_{22} & T_{21}^{- 1} \\ T_{12} - T_{11} T_{21}^{- 1} T_{22} & T_{11} T_{21}^{- 1} \end{matrix}],

15

T_{11} = [\begin{matrix} R_{v b y 1} F_{b y 1} & 0 & R_{v b y 1} T_{b x 1} \\ 0 & R_{v b z 1} F_{b z 1} & 0 \\ R_{\dot{θ} b x 1} F_{b y 1} & 0 & R_{\dot{θ} b x 1} T_{b x 1} \end{matrix}],

T_{12} = [\begin{matrix} R_{v b y 1} F_{b y 2} & 0 & R_{v b y 1} T_{b x 2} \\ 0 & R_{v b z 1} F_{b z 2} & 0 \\ R_{\dot{θ} b x 1} F_{b y 2} & 0 & R_{\dot{θ} b x 1} T_{b x 2} \end{matrix}],

T_{21} = [\begin{matrix} R_{v b y 2} F_{b y 1} & 0 & R_{v b y 2} T_{b x 1} \\ 0 & R_{v b 2 z 2} F_{b 1 z 1} & 0 \\ R_{\dot{θ} b x 2} F_{b y 1} & 0 & R_{\dot{θ} b x 2} T_{b x 1} \end{matrix}],

T_{22} = [\begin{matrix} R_{v b y 2} F_{b y 2} & 0 & R_{v b y 2} T_{b x 2} \\ 0 & R_{v b z 2} F_{b z 2} & 0 \\ R_{\dot{θ} b x 2} F_{b y 2} & 0 & R_{\dot{θ} b x 2} T_{b x 2} \end{matrix}] .

In the same way, the state vector transfer matrix ${\hat{B}}_{i j}$ of $O x z$ plane can be determined.

Integrated vibration isolation support I-O state vector $F_{b 1}$ , $v_{b 1}$ , $F_{b 2}$ , $v_{b 2}$ and the matrix ${\bar{B}}_{i j}$ , ${\hat{Β}}_{i j}$ , the elastic support coupling vibration transfer matrix $B_{i j}$ are shown as follows:

16

B_{11} = [\begin{matrix} - \frac{Γ_{1}}{2} & 0 & 0 & 0 & \frac{Γ_{2} λ_{f}}{2} & 0 \\ 0 & - \frac{Γ_{1}}{2} & 0 & \frac{Γ_{2} λ_{f}}{2} & 0 & 0 \\ 0 & 0 & - c o s λ_{1} h & 0 & 0 & 0 \\ 0 & - \frac{Γ_{3}}{2 λ_{f}} & 0 & - \frac{Γ_{1}}{2} & 0 & 0 \\ \frac{Γ_{2} λ_{f}}{2} & 0 & 0 & 0 & - \frac{Γ_{1}}{2} & 0 \\ 0 & 0 & 0 & 0 & 0 & - c o s λ_{s} h \end{matrix}],

17

B_{12} = j w [\begin{matrix} - \frac{Γ_{3} E_{σ}^{*} I λ_{f}^{3}}{2} & 0 & 0 & 0 & - \frac{Γ_{4} E_{σ}^{*} I λ_{f}^{2}}{2} & 0 \\ 0 & - \frac{Γ_{3} E_{σ}^{*} I λ_{f}^{3}}{2} & 0 & - \frac{Γ_{4} E_{σ}^{*} I λ_{f}^{2}}{2} & 0 & 0 \\ 0 & 0 & - E_{σ}^{*} A λ_{1} s i n λ_{1} h & 0 & 0 & 0 \\ 0 & \frac{Γ_{4} E_{σ}^{*} I λ_{f}^{2}}{2} & 0 & - \frac{Γ_{2} E_{σ}^{*} I λ_{f}}{2} & 0 & 0 \\ \frac{Γ_{4} E_{σ}^{*} I λ_{f}^{2}}{2} & 0 & 0 & 0 & - \frac{Γ_{2} E_{σ}^{*} I λ_{f}}{2} & 0 \\ 0 & 0 & 0 & 0 & 0 & - E_{τ}^{*} I_{p} λ_{s} s i n λ_{s} h \end{matrix}],

18

B_{21} = j w [\begin{matrix} - \frac{Γ_{2}}{2 E_{σ}^{*} I λ_{f}^{3}} & 0 & 0 & 0 & - \frac{Γ_{4}}{2 E_{σ}^{*} I λ_{f}^{2}} & 0 \\ 0 & - \frac{Γ_{2}}{2 E_{σ}^{*} I λ_{f}^{3}} & 0 & - \frac{Γ_{4}}{2 E_{σ}^{*} I λ_{f}^{2}} & 0 & 0 \\ 0 & 0 & - \frac{s i n λ_{1} h}{E_{σ}^{*} A λ_{1}} & 0 & 0 & 0 \\ 0 & \frac{Γ_{4}}{2 E_{σ}^{*} I λ_{f}^{2}} & 0 & - \frac{Γ_{3}}{2 E_{σ}^{*} I λ_{f}} & 0 & 0 \\ \frac{Γ_{4}}{2 E_{σ}^{*} I λ_{f}^{2}} & 0 & 0 & 0 & - \frac{Γ_{3}}{2 E_{σ}^{*} I λ_{f}} & 0 \\ 0 & 0 & 0 & 0 & 0 & - \frac{s i n λ_{s} h}{E_{τ}^{*} I_{p} λ_{s}} \end{matrix}],

19

B_{22} = [\begin{matrix} \frac{Γ_{1}}{2} & 0 & 0 & 0 & - \frac{Γ_{3}}{2 λ_{f}} & 0 \\ 0 & \frac{Γ_{1}}{2} & 0 & - \frac{Γ_{2}}{2 λ_{f}} & 0 & 0 \\ 0 & 0 & c o s λ_{1} h & 0 & 0 & 0 \\ 0 & \frac{Γ_{2} λ_{f}}{2} & 0 & \frac{Γ_{1}}{2} & 0 & 0 \\ \frac{Γ_{2} λ_{f}}{2} & 0 & 0 & 0 & \frac{Γ_{1}}{2} & 0 \\ 0 & 0 & 0 & 0 & 0 & c o s λ_{s} h \end{matrix}],

20

Γ_{1} = c o s λ_{f} h + c o s h λ_{f} h, Γ_{2} = s i n λ_{f} h - s i n h λ_{f} h,

Γ_{3} = s i n λ_{f} h + s i n h λ_{f} h, Γ_{4} = c o s λ_{f} h - c o s h λ_{f} h .

Fig. 3Coupled vibration mechanics model

3.3. Honeycomb panel structure characteristic matrix

The flywheel is installed on the honeycomb panel of the telescope structure, for the convenience of research, the honeycomb board structure is modeled as a rectangular plate, and the admittance matrix equation of the structure characteristic is described as Eq. (21):

21

V_{c} = γ_{i j} F_{c}, i, j = 1, 2,

where, $F_{c}$ is the input generalized force of each support structure, and $v_{c}$ is the velocity corresponding response vector. The characteristic matrix can be determined by the modal analysis method [7, 14, 15]:

22

F_{c} = {[\begin{array}{l} F_{c}^{1} & F_{c}^{2} & \dots & F_{c}^{n} \end{array}]}^{T}, v_{c} = {[\begin{array}{l} v_{c}^{1} & v_{c}^{2} & \dots & v_{c}^{n} \end{array}]}^{T} .

4. Coupling system vibration characteristic transfer matrix

According subsystem coupled junction force and displacement continuity conditions, the dynamic characteristics of a comprehensive subsystem above matrix Eqs. (9), (18), (21), we get the state vector in overall system coupling interface:

23

v_{e} = \{- Λ_{21} + Λ_{22} γ_{i j}\} {\{- Λ_{11} + Λ_{12} γ_{i j}\}}^{- 1} F_{e},

24

F_{c} = {\{- Λ_{11} + Λ_{12} γ_{i j}\}}^{- 1} F_{e},

25

v_{c} = γ_{i j} {\{- Λ_{11} + Λ_{12} γ_{i j}\}}^{- 1} F_{e} .

The element matrix of the system characteristic transfer matrix $Λ_{i j}$ is:

26

Λ_{i j} = \sum_{k = 1}^{2} (- 1)^{k} α_{i k} β_{k j}, i, j = 1, 2 .

5. Model simulation and experiments

5.1. Model simulation

According to the flywheel structure parameters and vibration isolator micro vibration features which are provided by the manufacturers. The parameters are shown in Table 1, and the parameters of the honeycomb panel are shown in Table 2, and the layer mode of the honeycomb panel is shown in Fig. 4. The model in Chapter 2 was simulated under the flywheel imbalance condition. The output disturbance force waterfall plot is shown in Fig. 5.

Table 1Parameters of vibration isolation system

Substructure	Parameters
Flywheel	$m$ , $J_{x}$	2.71 kg, 0.0169 kg·m²
Vibration isolator	$D \times d \times h$	35 mm×16 mm×12 mm
Vibration isolator	$E$ , $ρ$ , $η$	6.5 MPa, 1400 kg/m³, 0.09
Honeycomb panel	$a \times b \times c$	1298 mm×1199 mm×24.4 mm

Fig. 4The layer mode of the honeycomb panel

Table 2Parameters of the honeycomb panel

Material	E1 (MPa)	E2 (MPa)	Nu	G12 (MPa)	G1Z (MPa)	G2Z (MPa)	$ρ$ (kg/m³)
MAT1	620000	7400	0.29	4300	4300	4300	9.44E-09
MAT2	0.005	0.005	0.29	0.001	37.5	25	1.78E-11

Fig. 5Model simulation waterfall plot

a) $X$ axis

b) $Z$ axis

5.2. Flywheel vibration isolation system experiments

The disturbance test is carried out in the ultra-clean environment laboratory. The test site is shown in Fig. 6. Using the six component quartz model HR-FP3402 force plate, the sensor sampling frequency is 5000 Hz, testing the flywheel disturbing force characteristics in the $X$ -axis and $Z$ -axis. Testing process is speed up the flywheel from 0 RPM (Rotation per minute) to the specified speed, deceleration to 0 RPM after holding 20 s, a single total test time 60 s, and the single test time lasts 60 s.

Signal processing the disturbance data in the stable speed at different speed, the waterfall plot curve of the characteristics in frequency domain is shown in Fig. 7.

Fig. 6Experiments site

According to Fig. 7, at the same frequency of the vibration isolation system the flywheel has scrambled excitation force, and there are also a series of harmonics at multiples. In addition to the individual frequency points, the $X$ axis disturbance force of the vibration isolation system is in the 0.1 N magnitude, and the $Z$ axis disturbance force of the vibration isolation system is in the 0.2 N magnitude.

Fig. 7Experiment results waterfall plot

a) $X$ axis

b) $Z$ axis

5.3. Result discussion

The Fig. 4 and Fig. 6 show that the two spectra are consistent basically in the frequency components, the form of vortex frequency curve and the change of amplitude. The vibration disturbance force exists in the frequency shown the first line in Fig. 4 and Fig. 6, which is caused by the unbalance of the flywheel. Consistent with the actual working conditions of the flywheel, a series of harmonic is also caused by the flywheel rotating frequency at high frequency.

The test result in Fig. 6 shows amplification of $x$ -direction disturbance around 200 Hz which is not captured in the simulation. This vibration of the flywheel is caused by the modal enlargement of the supporting structure. Structural modal amplification factors are more complex, in this paper, the process of modeling and Simulation is not considered. So, there is no significant amplitude appears $x$ -waterfall plot around 200 Hz in Fig. 4. The experimental results show that the modal amplification effect of the flywheel is obvious, and it needed to be modeled separately due to the complexity of the structural mode amplification effect.

The amplitude of the disturbance is significant around 294 Hz in Fig. 4 and Fig. 6, it is the obvious characteristics of the flywheel whirl mode, which is caused by flywheel axial translational mode and radial translational mode. Analysis and test results also show that when the natural frequency of the flywheel and the harmonic frequency of the intersection, it will produce a significant resonance, resulting in disturbance amplification, especially around 270 Hz.

Although the simulation results and experimental results are in error, the theoretical modeling and simulation analysis match well with the experimental results, which indicates that the key factors of the vibration characteristics of the flywheel vibration isolation system are accurate and the theoretical analysis is correct.

6. Conclusions

In this paper, the dynamic model of the three degrees coupled vibration isolation system about the flywheel micro vibration excitation, multi elastic support and basic structure is established on the admittance method and partition subsystem. The relationship between I-O disturbance force and velocity vector is described by the characteristic transfer matrix in the subsystem of the flywheel vibration isolation.

1) Model simulation and the flywheel vibration isolation system test results show that the two spectra are consistent basically in the frequency components, the form of vortex frequency curve and the change of amplitude, which indicates that the key factors of the vibration characteristics of the flywheel vibration isolation system are accurate and the theoretical analysis is correct.

2) Three-dimensional coupled micro vibration transfer matrix dynamic model shows that the transfer matrix method can effectively avoid the complexity of the solution of the state vector of the sub structure coupling interface. This method can be applied to the vibration analysis of multi – layer or multi – system with branches.

3) Transfer matrix can play a more prevalent role in the study of dynamic characteristics of micro vibration isolation system, active and passive control integrated modeling and analysis, at the same time, it establishes the theoretical basis for the structural parameters optimization and active control strategy of the flywheel micro vibration system.

References

Tian L., Xu S. Attitude control considering variable input saturation limit for a spacecraft equipped with flywheels. Chinese Journal of Aeronautics, Vol. 25, 2012, p. 437-445.

Publisher
Yang Zh., Yang N., Yu Y. Earth-observation satellite attitude control using passive and active hybrid magnetically suspended flywheels. Journal of Beijing Institute of Technology, Vol. 23, Issue 2, 2014, p. 226-234.

Search CrossRef
Jin L., Xu S. J. Underactuated spacecraft angular velocity stabilization and three-axis attitude stabilization using two single gimbal control moment gyros. Acta Mechanica Sinica, Vol. 26, Issue 2, 2010, p. 279-288.

Publisher
Grega R., Baran P. Pneumatic Dual Mass Flywheel-Damper Concept for Down Speeding. The Latest Methods of Construction Design. Springer International Publishing, 2016, p. 361-367.

Publisher
Ujhelyi Z., Bergmann G., Hegedüs Á., et al. An integrated development environment for live model queries. Science of Computer Programming, Vol. 98, 2015, p. 80-99.

Publisher
Sung J. H., Esch M. B., Prot J. M., et al. Microfabricated mammalian organ systems and their integration into models of whole animals and humans. Lab on a Chip, Vol. 13, Issue 7, 2013, p. 1201-1212.

Publisher
Miller D. W., De Weck O. L., Mosier G. E. Framework for multidisciplinary integrated modeling and analysis of space telescopes. Proceedings of SPIE, Vol. 4757, 2002, p. 1-18.

Publisher
Mosier G. E., Howard J. M., Johnston J. D., et al. The role of integrated modeling in the design and verification of the James Webb space telescope. Proceedings of SPIE, Denver, Vol. 5528, 2004, p. 96-107.

Publisher
Miller D. W., de Weck O. L., Uebelhart S. A., et al. Integrated dynamics and controls modeling for the space interferometry mission (SIM). IEEE Aerospace Conference Proceedings, Big Sky, MT, Vol. 4, 2012, p. 2001-2089.

Search CrossRef
LoBosco D. M., Blaurock C., Chung Soon-Jo, et al. Integrated modeling of optical performance for the terrestrial planet finder structurally connected interferometer. Proceedings of SPIE, Glasgow, Scotland, Vol. 5497, 2004, p. 278-289.

Publisher
Luo Q., Li D., Zhou W. Studies on vibration isolation for a multiple flywheel system in variable configurations. Journal of Vibration and Control, Vol. 21, Issue 1, 2015, p. 105-123.

Publisher
Yu J., Yamaura H., Oishi T., et al. Vibrations suppression control of image transfer belt system with flywheel or dynamic vibration absorber. Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol. 7, Issue 1, 2013, p. 52-64.

Publisher
Wei Z., Li D., Luo Q., et al. Modeling and analysis of a flywheel micro vibration isolation system for spacecrafts. Advances in Space Research, Vol. 55, Issue 2, 2015, p. 761-777.

Publisher
Avitabile P. Experimental modal analysis. Sound and Vibration, Vol. 35, Issue 1, 2001, p. 20-31.

Search CrossRef
Lee Y. S., Choi M. H., Kim J. H. Free vibrations of laminated composite cylindrical shells with an interior rectangular plate. Journal of Sound and Vibration, Vol. 265, Issue 4, 2003, p. 795-817.

Publisher
Hossdorf H. Model Analysis of Structures. Van Norstrand Reinhold Co., New York, 1971.

Search CrossRef
Stanef D. A., Hansen C. H., Morgans R. C. Active control analysis of mining vehicle cabin noise using finite element modelling. Journal of Sound and Vibration, Vol. 277, Issue 1, 2004, p. 277-297.

Publisher
Moaveni B., Stavridis A., Lombaert G., et al. Finite-element model updating for assessment of progressive damage in a 3-story infilled RC frame. Journal of Structural Engineering, Vol. 139, Issue 10, 2012, p. 1665-1674.

Publisher
Luo Q, Li D, Jiang J. Analysis and optimization of microvibration isolation for multiple flywheel systems of spacecraft. AIAA Journal, 2016, p. 1719-1731.

Publisher

Cited by

Nonlinear dynamic characteristics and stability analysis of energy storage flywheel rotor with shape memory alloy damper

Xiao-Huan Li | Zhi-Wen Zhu

(2022)

Full-Closed-Loop Time-Domain Integrated Modeling Method of Optical Satellite Flywheel Micro-Vibration

Yang Yu | Xiaoxue Gong | Lei Zhang | Hongguang Jia | Ming Xuan

(2021)

Managing the microvibration impact on satellite performances

Frank Steier | Torben Runte | Anneke Monsky | Timo Klock | Gregory Laduree

(2019)

About this article

Received

05 August 2016

Accepted

19 October 2016

Published

15 May 2017

SUBJECTS

Mechanical vibrations and applications

DOI

https://doi.org/10.21595/jve.2016.17520

Keywords

flywheel

micro-vibration

vibration isolation

transfer matrix

test

Acknowledgements

The authors would like to thank the financial support of The National Natural Science Foundation of China (No. 41501383).

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Previous article in issue Previous Next article in issue Next

Research article

2022 11 18

Multi-axis vibration test technology of satellite based on vector-fixture’s design and applications

Xiaohua Liang, Wei Zhao, Min Dong, Hanping Qiu

Research article

2018 03 31

A VCM-based novel whole-spacecraft vibration isolation device: simulation and experiment

Jie Tang, Dengqing Cao, Zhaohong Qin, Haibo Li, Dengshuo Chen

Research article

2017 10 21

Coupled disturbance analysis of a pulse tube cryocooler

Shiqi Li, Heng Zhang, Shiping Liu, Yue Wang

Research article

2017 09 30

Flywheel micro-vibration characters of a high resolution optical satellite

Lin Li, Luyang Tan, Lin Kong, Hongbo Yang, Dong Wang

L. Li, L. Tan, K. Lin, and D. Wang, “Modeling and test of flywheel vibration isolation system for space telescope,” Journal of Vibroengineering, Vol. 19, No. 3, pp. 1613–1623, May 2017, https://doi.org/10.21595/jve.2016.17520

Copy Extrica

Copied to clipboard!

TY  - JOUR
DO  - 10.21595/jve.2016.17520
UR  - https://doi.org/10.21595/jve.2016.17520
TI  - Modeling and test of flywheel vibration isolation system for space telescope
T2  - Journal of Vibroengineering
AU  - Wang, Dong
AU  - Li, Lin
AU  - Tan, Luyang
AU  - Lin, Kong
PY  - 2017
DA  - 2017/05/15
PB  - JVE International Ltd.
SP  - 1613-1623
IS  - 3
VL  - 19
SN  - 1392-8716
ER  - 

Copy Ris

Copied to clipboard!

@article{Wang_2017,
	doi = {10.21595/jve.2016.17520},
	url = {https://doi.org/10.21595/jve.2016.17520},
	year = 2017,
	month = {may},
	publisher = {{JVE} International Ltd.},
	volume = {19},
	number = {3},
	pages = {1613--1623},
	author = {Dong Wang and Lin Li and Luyang Tan and Kong Lin},
	title = {Modeling and test of flywheel vibration isolation system for space telescope},
	journal = {Journal of Vibroengineering}
}

Copy Bibtex

Copied to clipboard!

[1]D. Wang, L. Li, L. Tan, and K. Lin, “Modeling and test of flywheel vibration isolation system for space telescope,” Journal of Vibroengineering, vol. 19, no. 3, pp. 1613–1623, May 2017, doi: 10.21595/jve.2016.17520.

Copy IEEE

Copied to clipboard!

Wang, Dong, Lin Li, Luyang Tan, and Kong Lin. “Modeling and Test of Flywheel Vibration Isolation System for Space Telescope.” Journal of Vibroengineering 19, no. 3 (May 15, 2017): 1613–23. https://doi.org/10.21595/jve.2016.17520.

Copy Chicago

Copied to clipboard!

Modeling and test of flywheel vibration isolation system for space telescope

Abstract

1. Introductions

2. Flywheel vibration isolation system model

3. Coupled vibration transfer characteristics

3.1. Flywheel sub-structure disturbance characteristic transfer matrix

3.2. Vibration isolator characteristics

3.3. Honeycomb panel structure characteristic matrix

4. Coupling system vibration characteristic transfer matrix

5. Model simulation and experiments

5.1. Model simulation

5.2. Flywheel vibration isolation system experiments

5.3. Result discussion

6. Conclusions

References

Cited by

About this article

Related Articles