基于多阶段速度规划的PMLSM自适应反推滑模控制

doi:10.19595/j.cnki.1000-6753.tces.170024

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Abstract Combining adaptive backstepping sliding mode control (ABSMC) with multi-segment velocity planning (MVP) method for the high precision permanent magnet linear synchronous motor (PMLSM) servo system which is vulnerable to influence of the uncertainties, such as the friction force, the load disturbances and parameter variations. The dynamic model of the PMLSM with the uncertainties was established,and the adaptive law was designed by using backstepping control method, conventional sliding mode control and Lyapunov function. It is proved theoretically that the proposed controller can inhibit the uncertainty factors and guarantee robust performance and rapid tracking capability. In order to further reduce the transient overshoot, the velocity sliding mode function of each stage was designed. MVP and switching control is used to change the system control mode and achieve the high-precision position control.The system experiment results confirm the effectiveness and feasibility of the control scheme. The position accuracy of PMLSM is improved and the transient overshoot is reduced.

Key words： Permanent magnet linear synchronous motor adaptive backstepping sliding mode control multi-segment velocity planning uncertainty overshoot

Received: 12 January 2017 Published: 26 February 2018

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TP273

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	ZhaoXimei
	WuYongkang

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ZhaoXimei,WuYongkang. Adaptive Backstepping Sliding Mode Control for PMLSM Based on Multi-Segment Velocity Planning[J]. Transactions of China Electrotechnical Society, 2018, 33(3): 662-669.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.170024 OR https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I3/662

[1] 王丽梅, 孙伟. 基于模糊CMAC神经网络的XY平台交叉耦合控制[J]. 沈阳工业大学学报, 2015, 37(2):121-125.
Wang Limei, Sun Wei.Cross-coupled control for XY table based on fuzzy-CMAC neural network[J]. Journal of Shenyang University of Technology, 2015, 37(2): 121-125.
[2] Ting C S, Lieu J F, Liu C S, et al.An adaptive FNN control design of PMLSM in stationary reference frame[J]. Journal of Control, Automation and Electrical Systems, 2016, 27(4): 391-405.
[3] 夏加宽, 沈丽, 彭兵, 等. 磁极错位削弱永磁直线伺服电动机齿槽法向力波动方法[J]. 电工技术学报, 2015, 30(24): 11-16.
Xia Jiakuan, Shen Li, Peng Bing, et al.The magnet-staggered method to weaken the cogging effect normal force ripple of permanent magnet linear servo motor[J]. Transactions of China Electrotechnical Society, 2015, 30(24): 11-16.
[4] 韩雪岩, 祁坤, 张哲, 等. 永磁同步直线电机磁阻力分析及抑制措施[J]. 电工技术学报, 2015, 30(6): 70-76.
Han Xueyan, Qi Kun, Zhang Zhe, et al.Analysis and suppression measures of magnetic resistance force in permanent magnet linear synchronous motors[J]. Transactions of China Electrotechnical Society, 2015, 30(6): 70-76.
[5] 赵希梅, 赵久威. 精密直驱龙门系统的交叉耦合互补滑模控制[J]. 电工技术学报, 2015, 30(11):7-12.
Zhao Ximei, Zhao Jiuwei.Cross-coupled complementary sliding mode control for precision direct-drive gantry system[J]. Transactions of China Electrotechnical Society, 2015, 30(11): 7-12.
[6] Kim S J, Park E J, Jung S Y, et al.Optimal design of reformed auxiliary teeth for reducing end detent force of stationary discontinuous armature PMLSM[J]. IEEE Transactions on Applied Superconductivity, 2016, 26(4): 1-5.
[7] Sariyildiz E, Ohnishi K.On the explicit robust forcecontrol via disturbance observer[J]. IEEE Transactions onIndustrial Electronics, 2015, 62(3): 1581-1589.
[8] Cho K, Nam K.Periodic learning disturbance observer based precision motion control in PMLSM motion systems considering long-term instability problem[J]. International Journal of Precision Engineering and Manufacturing, 2016, 17(9):1101-1112.
[9] Harati E, Noubari H A.A novel model predictive controller for uncertain constrained systems[J]. Journal of the Franklin Institute, 2016, 353(15): 3685-3698.
[10] Wang Mingyi, Li Liyi, Pan Donghua, et al.An improved predictive current control for PMLSM considering parameter variation[C]//2015 8thInternational Conference on Electrical Machines and Systems, Istanbul, 2015: 801-804.
[11] Butcher M, Karimi A.Linear parameter-varying iterative learning control with application to a linear motor system[J]. IEEE/ASME Transactions on Mechatronics, 2010, 15(3): 412-420.
[12] Panah P G, Ataei M, Mirzaeian B, et al.A robust adaptive sliding mode control for PMLSM with variable velocity profile over wide range[J]. Research Journal of Applied Sciences Engineering & Technology, 2015, 10(9): 997-1006.
[13] Namazi M M, Rashidi A, Saghaian-Nejad S M, et al.Chattering-free robust adaptive sliding-mode control for switched reluctance motor drive[C]//2016 IEEE Conference and ExpoTransportation Electrification Asia-Pacific,Busan, South Korea, 2016: 474-478.
[14] 李德新, 钟俊. 基于遗传算法与PID原理的IEEE1588从时钟同步研究[J]. 电力系统保护与控制, 2016, 44(18):96-101.
Li Dexin, Zhong Jun.Research on IEEE 1588 slave time synchronization based on genetic algorithm and PID control theory[J].Power System Protection and Control, 2016, 44(18): 96-101.
[15] El-Bardini M, El-Nagar A M. Interval type-2 fuzzy PID controller: analytical structures and stability analysis[J]. Arabian Journal for Science and Engineering, 2014, 39(10): 7443-7458.