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Abstract: Electromechanical coupling dynamical system is representative multi-input, multi-output, non-linear, tight coupling, and uncertain system. Dynamical modeling and calculation of electromechanical coupling system play an important role in the deep exploration of dynamical-performance and improvement of control accuracy for complete electromechanical equipment. Thus, Lagrange-Maxwell equations have been deduced based on 2-DOF electromechanical coupling system and spindle unit of grain refitted machine tool for solid propellant rocket motor by using Park transform in dq0 coordinate system of servomotor. In this dynamical modeling method of electromechanical coupling system, to establish dynamical differential equations, it is needed to measure amplitude of the flux induced by the permanent magnets and the winding's inductance in dq0 reference of the motor but not to measure the size of magnetic circuit. The equations deduction is terse, efficient, and the equations are easy to use. System differential equations have been established that include mechanism, servomotor and controller, which could be solved efficiently by Hamming method with high numerical accuracy and stability. The results of computer simulation prove the preciseness of formulation deduced and efficiency of differential equations solved.
Key words: Solid propellant rocket motor Electromechanical coupling system Dynamics
CLC No:
TH113.2
国家自然科学基金(50675095)和内蒙古自治区高等学校研究项目(NJ04007)资助.
Received
20070109,
received
in
revised
form
20070730
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| References
[1]
WANG Ailun, ZHONG Jue. Study on the method of mod-eling and simulating
of complex electromechanical sys-tem[J]. Chinese Journal of Mechanical
Engineering, 2003, 39(4): 1-5.
[2]
QIU Jianjun. Research advances of coupled mechanical and electric
dynamics[J]. Advances in Mechanics, 1998, 28(4): 453-460.
[3] MARCUS S, JOHN M. Dynamic modeling of electrome-chanical multibody
systems[J]. Multibody System Dy-namics, 2003, 9(1): 87-115.
[4] GUY B, PHILIPPE S, STÉPHANE C. Optimal motion synthesis-dynamic
modelling and numerical solving as-pects[J]. Multibody System Dynamics,
2002, 8(3): 257-278.
[5]
JU Lihua, JIANG Shuyun. Analysis of electromechanical coupling nonlinear
dynamics for flywheel energy storage system[J]. China Science, E, 2006,
36(1): 68-83.
[6]
LI Hui, ZHANG Ce, SONG Yimin, et al. Dynamic for-mulation and simulation
of the programmable press [J]. Chinese Journal of Mechanical
Engineering, 2005, 41(3): 180-184.
[7] YOJI Takeda, TAKAO Hirasa. Current phase control methods for
permanent magnet synchronous motors con-sidering Saliency[C]//Aachen
Germany: PESC”88, 1998: 409-414.
[8] FITZGERALD A E, CHARLES KINGSLEY Jr. UMANS S D. Electric machinery[M].
Beijing: Tsinghua University Press, 2003.
[9]
WEN Xishen, QIU Jing, TAO Junyong. Analysis dynam-ics and application of
electromechanical systems[M]. Bei-jing: Science Press, 2003.
[10]
ZHANG Ce. Mechanical dynamics[M]. Beijing: Higher Education Press, 2000.
[11] HIDEO Nakai, HIROKI Ohtani, YUKIO Inaguma. Novel torque control
technique for high efficiency /high power interior permanent magnet
synchronous motors[J]. R&D Review of Toyota CRDL, 2005, 40(2): 44-49.
[12] YANG W Y, CAO Wenwu, CHUNG T S, et al. Applied numerical methods
using MATLAB[M]. A John Wiley &Sonic, Inc., Publication, 2004.
|