Influence of electromagnetic stiffness on coupled micro vibrations generated by solar array drive assembly

Similar documents
Disturbance Modeling, Simulation and Testing of Solar Array Drive Assembly

1870. Vibration characteristic of wind turbine blades in fatigue loading test

1439. Numerical simulation of the magnetic field and electromagnetic vibration analysis of the AC permanent-magnet synchronous motor

Structural Dynamics Lecture 2. Outline of Lecture 2. Single-Degree-of-Freedom Systems (cont.)

2108. Free vibration properties of rotate vector reducer

Study of the influence of the resonance changer on the longitudinal vibration of marine propulsion shafting system

Influence of friction coefficient on rubbing behavior of oil bearing rotor system

Generation X. Attitude Control Systems (ACS) Aprille Ericsson Dave Olney Josephine San. July 27, 2000

MICRO-VIBRATION PERFORMANCE PREDICTION OF SEPTA24 USING SMESIM (RUAG SPACE MECHANISM SIMULATOR TOOL)

Nonlinear system identification with the use of describing functions a case study

Modelling of lateral-torsional vibrations of the crank system with a damper of vibrations

Mathematical model of electromechanical system with variable dissipativity

Overview of motors and motion control

1859. Forced transverse vibration analysis of a Rayleigh double-beam system with a Pasternak middle layer subjected to compressive axial load

1820. Selection of torsional vibration damper based on the results of simulation

Hybrid spacecraft attitude control system

Mechatronics Engineering. Li Wen

Visual Feedback Attitude Control of a Bias Momentum Micro Satellite using Two Wheels

Structure Design and Modal Analysis for a New Type of Cycloidal Drives

Jitter and Basic Requirements of the Reaction Wheel Assembly in the Attitude Control System

Bearing fault diagnosis based on TEO and SVM

CS491/691: Introduction to Aerial Robotics

2044. Dynamics analysis for the clamping mechanisms of a rotary inchworm piezoelectric motor

Engineering Science OUTCOME 2 - TUTORIAL 3 FREE VIBRATIONS

This equation of motion may be solved either by differential equation method or by graphical method as discussed below:

Research on Optimization of Bearing Span of Main Reducer Gear System Based on the Transfer Matrix

An optimum design of a double pendulum in autoparametric resonance for energy harvesting applications

WORK SHEET FOR MEP311

Spontaneous Speed Reversals in Stepper Motors

DYNAMICS AND CONTROL OF PIEZOELECTRIC- BASED STEWART PLATFORM FOR VIBRATION ISOLA- TION

ScienceDirect. Experimental Validation on Lift Increment of a Flapping Rotary Wing with Boring-hole Design

Journal of Sound and Vibration

Stepping Motors. Chapter 11 L E L F L D

Author's personal copy

1391. Nonlinear response of the generator rotor under the unbalanced electromagnetic force

Modeling and Performance Analysis of a Flywheel Energy Storage System Prince Owusu-Ansah, 1, Hu Yefa, 1, Philip Agyeman, 1 Adam Misbawu 2

Computerized Analysis of Automobile Crankshaft with novel aspects of Inertial analysis

In this lecture you will learn the following

Simulation and Experimental Research on Dynamics of Low-Pressure Rotor System in Turbofan Engine

Multi-objective optimization design of ship propulsion shafting based on the multi-attribute decision making

1373. Structural synthesis for broken strands repair operation metamorphic mechanism of EHV transmission lines

Virtual Passive Controller for Robot Systems Using Joint Torque Sensors

A4. Free and Forced Oscillations

Swinging Tension sensor and Control Structure for Gyroscope Fiber Winding Process

Contact problems in rotor systems

The impact of rotor elastic suspension settings on the acceleration of the automatic balancer compensating mass

Mechatronics. MANE 4490 Fall 2002 Assignment # 1

Sensors for mobile robots

Dynamics of assembled structures of rotor systems of aviation gas turbine engines of type two-rotor

Dynamics of Machinery

Rock fragmentation mechanisms and an experimental study of drilling tools during high-frequency harmonic vibration

Analysis on propulsion shafting coupled torsional-longitudinal vibration under different applied loads

Chapter a. Spring constant, k : The change in the force per unit length change of the spring. b. Coefficient of subgrade reaction, k:

An Analysis Technique for Vibration Reduction of Motor Pump

A METHOD FOR EVALUATION OF THE CHAIN DRIVE EFFICIENCY

1415. Effects of different disc locations on oil-film instability in a rotor system

Chapter 14 Oscillations. Copyright 2009 Pearson Education, Inc.

The application of coordinate transformation matrix into the multi-degree of freedom vibration control

1618. Dynamic characteristics analysis and optimization for lateral plates of the vibration screen

892 VIBROENGINEERING. JOURNAL OF VIBROENGINEERING. JUNE VOLUME 15, ISSUE 2. ISSN

Dynamics and Control of the GyroPTO Wave Energy Point Absorber under Sea Waves

Varuvan Vadivelan. Institute of Technology LAB MANUAL. : 2013 : B.E. MECHANICAL ENGINEERING : III Year / V Semester. Regulation Branch Year & Semester

Experimental analysis and modeling of transmission torsional vibrations

DESIGN AND ANALYSIS OF LIGHT WEIGHT MOTOR VEHICLE FLYWHEEL M.LAVAKUMAR #1, R.PRASANNA SRINIVAS* 2

SAMCEF For ROTORS. Chapter 1 : Physical Aspects of rotor dynamics. This document is the property of SAMTECH S.A. MEF A, Page 1

2183. Vector matching-based disturbance rejection method for load simulator

Name: Fall 2014 CLOSED BOOK

EXPERIMENTAL INVESTIGATION OF THE EFFECTS OF TORSIONAL EXCITATION OF VARIABLE INERTIA EFFECTS IN A MULTI-CYLINDER RECIPROCATING ENGINE

Analytical Disturbance Modeling of a Flywheel Due to Statically and Dynamically Unbalances

Piezoelectric Actuator for Micro Robot Used in Nanosatellite

Analysis and Calculation of Double Circular Arc Gear Meshing Impact Model

Automated Estimation of an Aircraft s Center of Gravity Using Static and Dynamic Measurements

1427. Response and performance of a nonlinear vibration isolator with high-static-low-dynamic-stiffness under shock excitations

a) Find the equation of motion of the system and write it in matrix form.

Chapter 5 Design. D. J. Inman 1/51 Mechanical Engineering at Virginia Tech

INTERNATIONAL JOURNAL OF MECHANICAL ENGINEERING AND TECHNOLOGY (IJMET)

Influence of the gap and the friction on trajectory reproduction accuracy in a multiaxis machine with CNC

Introduction to Control (034040) lecture no. 2

1208. Study on vibration characteristics and tooth profile modification of a plus planetary gear set

1896. Modal characterization of rotors by unbalance response

EQUIVALENT SINGLE-DEGREE-OF-FREEDOM SYSTEM AND FREE VIBRATION

Open Access Permanent Magnet Synchronous Motor Vector Control Based on Weighted Integral Gain of Sliding Mode Variable Structure

Research on Permanent Magnet Linear Synchronous Motor Control System Simulation *

1769. On the analysis of a piecewise nonlinear-linear vibration isolator with high-static-low-dynamic-stiffness under base excitation

Research on the synchronous vibration of the non-integral. mechanism under the vibration environment

Kinematics, Dynamics, and Vibrations FE Review Session. Dr. David Herrin March 27, 2012

557. Radial correction controllers of gyroscopic stabilizer

Structural Dynamics Lecture 4. Outline of Lecture 4. Multi-Degree-of-Freedom Systems. Formulation of Equations of Motions. Undamped Eigenvibrations.

1330. Comparative study of model updating methods using frequency response function data

MODELING WITH CURRENT DYNAMICS AND VIBRATION CONTROL OF TWO PHASE HYBRID STEPPING MOTOR IN INTERMITTENT DRIVE

1430. Research on transverse parametric vibration and fault diagnosis of multi-rope hoisting catenaries

Effect of an hourglass shaped sleeve on the performance of the fluid dynamic bearings of a HDD spindle motor

DYNAMIC ANALYSIS OF ROTOR-BEARING SYSTEM FOR FLEXIBLE BEARING SUPPORT CONDITION

Lecture 9: Harmonic Loads (Con t)

1942. Effects of motion-induced aerodynamic force on the performance of active buffeting control

PID Control Analysis of Brake Test Bench

The basic principle to be used in mechanical systems to derive a mathematical model is Newton s law,

Satellite Attitude Control System Design Using Reaction Wheels Bhanu Gouda Brian Fast Dan Simon

1358. Local vibration characteristics of rotating blades induced by moving rub-impact loads

A method for matching the eigenfrequencies of longitudinal and torsional vibrations in a hybrid piezoelectric motor

Transcription:

Influence of electromagnetic stiffness on coupled micro vibrations generated by solar array drive assembly Mariyam Sattar 1, Cheng Wei 2, Awais Jalali 3 1, 2 Beihang University of Aeronautics and Astronautics, Beijing, China 3 University of Engineering and Technology, Taxila, Pakistan 1 Corresponding author E-mail: 1 mariyamsattar87@gmail.com, 2 6548@buaa.edu.cn, 3 awais.jalali@gmail.com (Received 21 August 216; accepted 22 August 216) Abstract. This work analyzes the influence of electromagnetic stiffness on coupled micro disturbance behavior of 32 and 64 subdivisions (SD) Solar Array Drive Assembly (SADA). The problem geometry consists of SADA supporting and operating rigid load through transmission shaft. Mathematical model of stepper motor, used as SADA, with two phases and four beats is developed to determine output excitation torque and electromagnetic stiffness. Keeping in view the reduction ratio, number of rotor teeth, beats and subdivisions; active and dead load SADA vibration model is developed. Rigid load operated by SADA is approximated into motor torsional spring moment of inertia dynamic system to obtain frequency response of mechanical configuration. The developed mathematical model contains information about moment of inertia of load, stiffness of electromagnetic spring, stiffness of transmission shaft and moment of inertia of SADA rotor. Results obtained from analytical calculations are validated by experimentation and simulations run in Matlab/Simulink. Analysis reveals that increase of electromagnetic stiffness, subdivisions number and rotor teeth leads to increase in stability of SADA operated system. The research lays a firm basis for study on vibration attenuation and analysis of SADA disturbances during in orbit operations. Keywords: electromagnetic stiffness, subdivisions, structural coupling, active disturbance. Nomenclature Rotor teeth θ Angle turned by SADA rotor Beat number Ω Solar array speed Subdivision number _ Current amplitude of phase B windings Current amplitude _ Current amplitude of phase A windings Active frequency Ω Rotor speed Stiffness of transmission shaft Reduction ratio 1. Introduction and background study Scientific missions are highly reliant on accurate pointing and resolution performance of their pay loads. Their precision is mostly degraded by micro vibrations generated by static and dynamic unbalanced forces generated by rotary mechanical systems [1], including Reaction and Momentum Wheels (RWs & MWs), cryo-coolers, Control Moment Gyroscopes (CMGs), mobile mirrors and Solar Array Drive Assemblies (SADA) [2], mounted to spacecraft body. These disturbances are characterized by broad band and low frequency range that are able to excite structural modes of the system leading to an increase in noise experienced by satellite [3]. The vibrations phenomenon of RW and MW are well documented [4, 5] but complex disturbances induced by SADA have gotten little consideration. SADA is a typical revolving component in spacecraft that provides linear or angular displacement, to acquire solar energy, when an electrical input is given to the system [6]. No doubt, its operation is accurate and stable but every input of pulse causes it to produce impact load. Therefore, SADA possesses large excitation energy and dense distribution of excited and complex coupled natural frequencies that have a very slow attenuation process because of absence of air damping in space. This disturbance JVE INTERNATIONAL LTD. VIBROENGINEERING PROCEDIA. OCT 216, VOL. 8. ISSN 2345-533 397

INFLUENCE OF ELECTROMAGNETIC STIFFNESS ON COUPLED MICRO VIBRATIONS GENERATED BY SOLAR ARRAY DRIVE ASSEMBLY. nature of SADA motivated Xia [7] to research the mechanism of electromagnetic vibrations and propose drive circuit to damp its amplitude. Zhang [8] added by suggesting a controller for torque compensation to enhance stability of SADA speed during operation. Bodson [9] provided an expression for electromagnetic frequency; while, in [6] its existence is verified through simulation and experimental testing. In [1, 11] dynamic models of SADA are proposed keeping in account its friction and fluctuation torque. Efforts are extended to research on the coupling effect between SADA and its operated load. Chen [12] changed the stiffness of transmission shaft in coupled mechanical system to study disturbance responses. At present the research is more inclined towards SADA subdivisions drive (SDD) scheme [13] to improve resolution, stability and accuracy of operation, but disturbances induced by it still exist. However, the spectral line of disturbance is reduced after micro stepping of full current wave. This work considers SADA rotor specifications as study object and compares the influence of electromagnetic spring stiffness on coupled micro disturbance behavior of SADA operated system. Stepper motor driving rigid load through transmission shaft has 2 phases, 4 beats and is operated with 32 and 64 subdivisions. The coupled micro disturbance responses are investigated using analytical, simulation and experimental techniques. In the proceeding sections mathematical model for SADA disturbance is conversed, approximate analytical coupled dynamic model of SADA operating rigid load is provided next, then its disturbance response (with and without load) in different subdivisions drives is tested, dynamic system is simulated next, followed by discussion on results, conclusions and future recommendations. 2. Disturbance modeling of SADA SADA micro vibrations come from three main sources; (1) Electromagnetic coupling disturbances (2) Electronic impact vibrations induced during input of pulse signals (3) Coupled vibrations excited by interference of active and natural frequencies of system. 2.1. Mathematical model for electromagnetic vibrations The excitation output torque, _, of stepper motor after receiving input power is achieved by derivation of magnetic energy to angle θ turned by SADA rotor [6] i.e.: _ = θ = _ cos( θ) _ sin( θ) sin(4 θ). (1) Here, and are the electromagnetic and detent torque coefficients respectively. The second part in Eq. (1) i.e. detent torque is far less than electromagnetic torque (first part in Eq. (1)) and can be ignored. So, _ reduces to: _ = sin(λ θ), (2) where, = 1, 2, 3,, and =2 /( ). Using small angle assumption i.e. ~ in Eq. (2) gives following solving formula for electromagnetic stiffness : =, (3), in Eq. (3) is the source of electromagnetic coupling disturbance. It depends upon electromagnetic torque coefficient, the current amplitude and number of teeth in SADA rotor. When SADA runs without load, electromagnetic disturbance is very large and is difficult to measure. So, it is suggested to operate SADA with some rigid load to measure its accurate electromagnetic disturbance dynamics. 398 JVE INTERNATIONAL LTD. VIBROENGINEERING PROCEDIA. OCT 216, VOL. 8. ISSN 2345-533

INFLUENCE OF ELECTROMAGNETIC STIFFNESS ON COUPLED MICRO VIBRATIONS GENERATED BY SOLAR ARRAY DRIVE ASSEMBLY. 2.2. Active vibration model for input digital pulse signals When an electrical pulse signal is contributed, SADA rotor causes the solar array to move in a specified direction. However, every electronic pulse signal induces impact load leading to active vibration disturbance of SADA. Use of reduction ratio (1) existing between rotor (7.27 1-3 rad/s) and solar array speed (7.27 1-5 rad/s) lead to formulations for period and active frequency of SADA impact induced disturbance. = 2 Ω Δ, = 1 = Ω Δ. (4) 2 Ω is array speed, the reduction ratio, is number of subdivisions, and are the beat and teeth numbers respectively. The discrete active vibration frequency i.e. = leads to disturbance model of SADA running without load in different SD number. ( ) = sin (2 +Φ ), (5) where, ( ) in Eq. (5) is the disturbance force for any SDD, is the frequency of number harmonic, is the amplitude coefficient of ( ) and Φ is the phase of ( ). 3. Vibration model of SADA driving rigid load The configuration of this mechanical system consists of rigid load that is precisely rotated by stepper motor through transmission shaft. The mechanical system is approximated to motortorsional spring-moment of inertia dynamic system (Fig. 1(c)). Approximated system consists of stiffness of transmission shaft, electromagnetic spring stiffness, moment of inertia of rigid load and rotor s moment of inertia. The undamped free vibration equations of motion for simplified two DoF dynamic model are presented in Eq. (6). θ + ( + )θ θ =, θ θ + θ =. (6) To solve these dynamic equations solution of the form, θ = cosω and θ = cosω, is assumed. Eq. (7) is obtained by setting the determinant of coefficients of and equals to zero. ( + + ) + =. (7) Eq. (7) is the characteristic equation to get frequency response of the system. Dynamics of approximated model (Table 1) is determined using parameters given in Table 2. Table 1. Natural frequencies of mechanical system Rotor teeth 5 1 15 2 25 3 (Hz) 4.96 6.91 8.35 9.52 1.5 11.36 (Hz) 9. 91.27 92.52 93.77 95.1 96.24 is the electromagnetic frequency and is associated with natural frequency of load operated by SADA. In general, when SADA is coupled to rigid load its disturbance frequencies consist of active vibration frequencies, their harmonics and natural frequencies of mechanical system. 4. Force/moment testing platform SADA behavior with 32 and 64 SDD is experimented on micro vibrations test platform, JVE INTERNATIONAL LTD. VIBROENGINEERING PROCEDIA. OCT 216, VOL. 8. ISSN 2345-533 399

X: 1.375 Y:.1664 Y:.259 X: 14.81 Y:.2968 X: 1.375 Y:.1125 Y:.1913 INFLUENCE OF ELECTROMAGNETIC STIFFNESS ON COUPLED MICRO VIBRATIONS GENERATED BY SOLAR ARRAY DRIVE ASSEMBLY. equipped with piezoelectric sensors, to determine the general vibration response when it is operated without load and with some random rigid load. In order to simulate the working environment in space a gravity unload device consisting of rigid holder, linear and air (rotating system) bearing is introduced in test platform. A rigid load with large moment of inertia is mounted on top of SADA (Fig.1b) and disturbance amplitude considering gravity of load is compared for 32 and 64 SDD. Fig. 2(a-b) reveal that for 32 and 64 SDD the number of excitation inputs to the system per second are 7.4 and 14.8 respectively. So, SADA with 32 SD excites structural natural frequencies more frequently because of higher number of active harmonics. Moreover, 32 SDD possess higher resonating zone and develop more chances to interfere with structural natural frequencies. Therefore, results from experimentation with gravity of load Fig. 2(c-d) deduce that SADA with SD 32 exhibits higher disturbance amplitude because of comparatively unstable nature of this drive. Amplitude (N.m).1.5 64 Subdivision Number a) b) c) Fig. 1. SADA disturbance investigation. a) No load micro vibration test setup b) SADA running with rigid load c) Simplified dynamic model of mechanical system Disturbance Moment (Mz) 32 5 1 15 Frequency (Hz) 2 25 Amplitude (N.m).6.4.2 -.2 -.4 -.6 -.8 Disturbance Moment (Mz) Subdivision 32 Subdivision 64 -.1 2 4 6 8 1 12 14 16 Time (s) 5 1 15 2 Frequency (Hz) a) b) c) d) Fig. 2. Micro vibrations of SADA. a) No load SADA disturbance in frequency domain b) No load SADA disturbance in time domain c) and d) SADA operating rigid load under 32 and 64 SDD respectively Amplitude (Nm) 2.5 2 1.5 1.5 SADA running with gravity of load 3 x 1-3 X: 7.438 Amplitude (Nm) 1.5 1.5 2 x 1-3 SADA running with gravity of load X: 14.81 5 1 15 2 Frequency (Hz) Fig. 3. Matlab/Simulink model for SADA supporting rigid load Table 2. Simulation Parameters Parameter Value units 5, 1, 15, 2, 25 - and 3 4-32 and 64 - = 5, 1, 15, 2, 25 Nm/rad and 3 1 Nm/A.5 kg m 2.45 kg m 2.1 A 118.2 Nm/rad 5. Matlab/simulations and analysis Matlab/Simulink toolbox is used to simulate disturbance model of SADA driving rigid load. The dynamic equations of this mechanical system are: 4 JVE INTERNATIONAL LTD. VIBROENGINEERING PROCEDIA. OCT 216, VOL. 8. ISSN 2345-533

INFLUENCE OF ELECTROMAGNETIC STIFFNESS ON COUPLED MICRO VIBRATIONS GENERATED BY SOLAR ARRAY DRIVE ASSEMBLY. θ + θ θ + θ = _, θ θ + θ =. (8) The principle simulation diagram and simulation parameters used are given in Fig. 3 and Table 2 respectively. The corresponding analysis results are provided in Fig. 4. 6. Discussion Electromagnetic stiffness depends upon electromagnetic torque coefficient, the current amplitude and number of rotor teeth. Simulations are run for its constantly increasing values that in turn depend upon number of teeth in SADA rotor. Discussion below, based on Fig. 2 and 4, deduce the effect of increase in electromagnetic stiffness on disturbance response of SADA. Fig. 4. Simulation results for different values of electromagnetic stiffness. a) 32 SDD b) 64 SDD 1) As SADA supporting rigid load is approximated with 2-DoF mechanical system so, its disturbance response consists of two natural frequencies, active vibration disturbance frequencies and their corresponding harmonics. Out of two natural frequencies the first one is electromagnetic and the subsequent is natural frequency of operated mechanical load. 2) Amplitude of fundamental active disturbance is maximum for any SDD that proceeds in descending manner towards higher frequency domain. However, if any harmonics of active vibration fall near or on system natural frequency then the disturbance response amplitude shows significant and abrupt magnification in amplitude of vibration. that in turn reduces the disturbance 3) An increase in rotor teeth number improves amplitude and improves system stability. The highest disturbance response i.e..5191 Nm is observed when rotor teeth is kept 5 while it is least when rotor teeth number is improved to 3. Moreover, an increase in number of rotor teeth reduces the frequency of occurrence of active disturbances. It reduces the chances of interference between electronic and natural frequencies hence avoiding the occurrence of resonance and corresponding system instabilities. 4) For any number of rotor teeth, disturbance amplitude for SD 64 SADA is lower as compared to 32 SDD. The comparatively smaller resonating zone of 64 SDD ensures it stable response. 5) Natural frequencies of flexible solar array mostly lie in lower frequency domain. So, if rotor teeth number is reduced it results in corresponding decrease in electromagnetic stiffness causing the active and electromagnetic frequencies to fall in lower frequency domain and increase their JVE INTERNATIONAL LTD. VIBROENGINEERING PROCEDIA. OCT 216, VOL. 8. ISSN 2345-533 41

INFLUENCE OF ELECTROMAGNETIC STIFFNESS ON COUPLED MICRO VIBRATIONS GENERATED BY SOLAR ARRAY DRIVE ASSEMBLY. chances to interfere with natural frequencies of flexible array. So, increase in rotor teeth and SDs helps to move active and electromagnetic frequencies towards higher frequency domain, reduce the chances of resonance and contribute to improve system stability. Out of the analyzed SADA configurations, 64 SDD with 3 rotor teeth exhibits smooth and noiseless operation, less number of excited frequencies and very reduced amplitude of excited frequencies, so, it is more preferred where impeccable operation is required. 7. Conclusions and future recommendations An approximate analytical model, simulation analysis and experimentation are completed to study the effect of variation in rotor specifications on disturbance response of 32 and 64 SD SADA. The problem geometry consisted of SADA supporting and operating rigid load through transmission shaft. The physical change is introduced in system by changing the number of rotor teeth and corresponding electromagnetic stiffness. Analytical frequency response is approximated by transforming the mechanical system to motor torsional spring moment of inertia system. The results obtained from mathematical model are compared with simulations run in Matlab/Simulink and experimentation to check the validity of developed model and SADA response. All of the analysis results showed consistency leading to the conclusion that increase in number of subdivisions and rotor teeth improves frequency response and stability of the system. The main contributing factor to instability is interference of active and natural frequencies of the system so, this research targeted to minimize such conditions. However, at present the authors are making effort to research active decoupling vibration phenomenon. The current and future contribution will provide a significant help in vibration damping study and control of SADA induced disturbance in satellite. References [1] Omiciuolo M., et al. Micro-vibration performance prediction of SEPTA24 using SMESIM (RUAG Space Mechanism Simulator Tool). 15th European Space Mechanisms and Tribology Symposium, The Netherlands, 213. [2] Xing G., Youping W. The universalization, serialization and modularization design of solar array drive assembly (SADA). Chinese Journal of Space Sciences, Vol. 22, 22, p. 55-67. [3] Wagner M., et al. European Space Agency (ESA): New Reaction Wheel Characterization Test Facility (RCF). Advances in the Astronautical Sciences, Vol. 144, 212, p. 537-556. [4] Liu K. C., M. P., Blaurock C. Reaction wheel disturbance modeling, jitter analysis and validation tests for solar dynamics observatory. AIAA Guidance, Navigation and Control Conference and Exhibit, Guidance, Navigation, and Control and Co-located Conferences, 28. [5] Weiyong Z., et al. Analysis and testing of microvibrations produced by momentum wheel assemblies. Chinese Journal of Aeronautics, Vol. 25, Issue 4, 212, p. 64-649. [6] Yang Y. L., et al. Experiment and simulation of electromagnetic stiffness for stepper motor. Applied Mechanics and Materials, 21. [7] Li X. The primary research on low-frequence resonate of step-motor and it s damping methods. Journal of Shenyang Polytechnic University, 1994. [8] Zhang M., et al. A high stability control method for solar array drive mechanism. Aerospace Control and Application, 21. [9] Bodson M., Sato J. S., Silver S. R. Spontaneous speed reversals in stepper motors. IEEE Transactions on Control Systems Technology, Vol. 14, Issue 2, 26, p. 369-373. [1] Si Z., Liu Y., Li K. Research on modeling and driver design of solar array drive assembly. Aerospace Control Applications, Vol. 36, 21, p. 13-19. [11] Szolc T., et al. Dynamic investigations of electromechanical coupling effects in mechanisms driven by the stepping motor. Journal of Theoretical and Applied Mechanics, Vol. 5, Issue 2, 212, p. 653-673. [12] Chen J. P., Cheng W., Han W. Analysis and simulation of stepper motor disturbance considering structural coupling. Applied Mechanics and Materials, 214. [13] Xi J., Liao G., Yang W. Study of stepping motor subdivision driver. International Conference on Intelligent Computation Technology and Automation, 21. 42 JVE INTERNATIONAL LTD. VIBROENGINEERING PROCEDIA. OCT 216, VOL. 8. ISSN 2345-533