永磁直线同步电动机伺服系统的自适应加加速度控制

doi:10.19595/j.cnki.1000-6753.tces.190675

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Abstract An adaptive jerk control (AJC) scheme was proposed in view of the susceptibility of uncertainty factors in the permanent magnet linear synchronous motor (PMLSM) servo system. Firstly, the dynamic of the PMLSM servo system with uncertainties was established. Then, the model-based feedforward control was used to compensate for the dynamic error caused by parametric uncertainties, and the response speed of the system was improved. Moreover, AJC was adopted to suppress the uncertainties such as external disturbance and nonlinear friction in the system. Robust gain was convergent following an adaptive law in a bounded range and the robustness of the system was enhanced. The output signal of AJC was integrated to form the feedback control law, which weakened the high frequency resonance caused by unmodeled dynamics of the switching function excitation, ensuring the stability and continuity of the control signal. The experimental results indicate that the control method can generate a smooth control signal and the control performance of the system is improved significantly. The tracking error is reduced and high frequency oscillation is successfully avoided. The control precision of the PMLSM servo system is more accurate.

Key words： Permanent magnet linear synchronous motor uncertainty adaptive jerk control robustness

Received: 05 June 2019

PACS:	TP273
	TM351

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	Yuan Hao
	Zhao Ximei

Cite this article:

Yuan Hao,Zhao Ximei. Adaptive Jerk Control for Permanent Magnet Linear Synchronous Motor Servo System[J]. Transactions of China Electrotechnical Society, 2020, 35(16): 3406-3413.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.190675 OR https://dgjsxb.ces-transaction.com/EN/Y2020/V35/I16/3406

[1] Lu Qinfen, Mei Weihu.Recent development of linear machine topologies and applications[J]. CES Transa- ctions on Electrical Machines and Systems, 2018, 2(1): 65-72.
[2] 原浩, 赵希梅. 基于积分滑模的永磁直线同步电动机直接推力控制[J]. 电工技术学报, 2019, 34(3): 39-44.
Yuan Hao, Zhao Ximei.Direct thrust force control based on integral sliding mode for permanent magnet linear synchronous motor[J]. Transactions of China Electrotechnical Society, 2019, 34(3): 39-44.
[3] 吴勇慷, 赵希梅. 基于函数链径向基神经网络的PMLSM自适应反推控制[J]. 电工技术学报, 2018, 33(17): 4044-4051.
Wu Yongkang, Zhao Ximei.Adaptive backstepping control based on functional link radial basis function neural network for PMLSM[J]. Transactions of China Electrotechnical Society, 2018, 33(17): 4044-4051.
[4] 智淑亚, 吴洪兵. 数控进给伺服系统摩擦补偿控制仿真[J]. 沈阳工业大学学报, 2019, 41(4): 361-365.
Zhi Shuya, Wu Hongbing.Simulation of friction compensation control of NC feed servo system[J]. Journal of Shenyang University of Technology, 2019, 41(4): 361-365.
[5] 王丽梅, 张宗雪. H型精密运动平台交叉耦合模糊PID同步控制[J]. 沈阳工业大学学报, 2018, 40(1): 1-5.
Wang Limei, Zhang Zongxue.Cross-coupled fuzzy PID synchronous control for H-type precision motion platform[J]. Journal of Shenyang University of Technology, 2018, 40(1): 1-5.
[6] Chen Zhen, Yao Bin, Wang Qingfeng.Accurate motion control of linear motors with adaptive robust compensation of nonlinear electromagnetic field effect[J]. IEEE/ASME Transactions on Mechatronics, 2013, 18(3): 1122-1129.
[7] Hu Chuxiong, Yao Bin, Wang Qingfeng.Performance- oriented adaptive robust control of a class of nonlinear systems preceded by unknown dead zone with comparative experimental results[J]. IEEE/ ASME Transactions on Mechatronics, 2013, 18(1): 178-189.
[8] Ting Chen-Sheng, Lieu Jyun-Fan, Liu Chun-Shan, et al.An adaptive FNN control design of PMLSM in stationary reference frame[J]. Journal of Control Auto- mation & Electrical Systems, 2016, 27(4): 391-405.
[9] Chen Kun Yung.Sliding mode minimum-energy control for a mechatronic motor-table system[J]. IEEE/ASME Transactions on Mechatronics, 2016, 21(3): 1122-1129.
[10] 赵希梅, 金鸿雁. 基于Elman神经网络的永磁直线同步电机互补滑模控制[J]. 电工技术学报, 2018, 33(5): 973-979.
Zhao Ximei, Jin Hongyan.Complementary sliding mode control for permanent magnet linear syn- chronous motor based on Elman neural network[J]. Transactions of China Electrotechnical Society, 2018, 33(5): 973-979.
[11] Yao Jianyong, Deng Wenxiang, Jiao Zongxia.RISE- based adaptive control of hydraulic systems with asymptotic tracking[J]. IEEE Transactions on Auto- mation Science & Engineering, 2015, 3(14): 1524-1531.
[12] Xian Bin, Dawson D M, Marcio de Queiroz, et al. A continuous asymptotic tracking control strategy for uncertain nonlinear systems[J]. IEEE Transactions on Automatic Control, 2004, 49(7): 1206-1211.