Anti-Disturbance Dynamic Surface Control for Position Tracking of Interior Permanent Magnet Synchronous Motor Based on Nonlinear Extended State Observer

被引:3
作者
Niu, Xiaobing [1 ]
Cong, Siming [1 ]
Wang, Dan [1 ]
Chen, Weihu [1 ,2 ]
机构
[1] Dalian Maritime Univ, Sch Marine Elect Engn, Dalian 116026, Peoples R China
[2] Suzhou Inovance Technol Co Ltd, Suzhou 215000, Peoples R China
基金
中国国家自然科学基金;
关键词
Output feedback; Mathematical model; Uncertainty; Torque; Stators; Rotors; Position measurement; Interior permanent magnet synchronous motor; dynamic surface control; position tracking; nonlinear extended state observer; anti-disturbance control; SLIDING MODE CONTROL; CONTROL DESIGN; SYSTEMS; CONVERGENCE;
D O I
10.1109/ACCESS.2021.3086506
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, an anti-disturbance output feedback dynamic surface control (DSC) method is proposed for the position tracking of interior permanent magnet synchronous motor subject to unknown nonlinearities and time-varying disturbances. Specifically, a nonlinear extended-state-observer (NLESO) based on exponential functions is designed to estimate the total disturbance composed of system uncertainties and external disturbances. Then, by compensating for the total disturbance via the NLESO, an anti-disturbance output feedback law is designed based on the DSC approach. The salient features of the proposed approach is twofold. First, the total uncertainty including internal and external disturbances can be accurately estimated by an NLESO in real time. Second, the desired anti-disturbance performance of the servo control system can be achieved regardless of the position measurement only. The stability of the closed-loop control system is proved by using the cascade theory and input-to-state stability theory. Both simulation and experiment results are conducted to illustrate the effectiveness of the proposed control method.
引用
收藏
页码:84180 / 84190
页数:11
相关论文
共 52 条
[1]   Novel Active Disturbance Rejection Control Based on Nested Linear Extended State Observers [J].
Abdul-Adheem, Wameedh Riyadh ;
Azar, Ahmad Taher ;
Ibraheem, Ibraheem Kasim ;
Humaidi, Amjad J. .
APPLIED SCIENCES-BASEL, 2020, 10 (12)
[2]   Improved Active Disturbance Rejection-Based Decentralized Control for MIMO Nonlinear Systems: Comparison with The Decoupled Control Scheme [J].
Abdul-Adheem, Wameedh Riyadh ;
Ibraheem, Ibraheem Kasim ;
Azar, Ahmad Taher ;
Humaidi, Amjad J. .
APPLIED SCIENCES-BASEL, 2020, 10 (07)
[3]  
Abdul-Adheem WR, 2016, INT J ADV COMPUT SC, V7, P80
[4]   Adaptive RCMAC Neural Network Dynamic Surface Control for Permanent Magnet Synchronous Motors Driven Two-Avis X-Y Table [J].
Abuhasel, Khaled Ali ;
El-Sousy, Fayez F. M. ;
El-Naggar, Mohamed F. ;
Abu-Siada, Ahmed .
IEEE ACCESS, 2019, 7 :38068-38084
[5]  
[Anonymous], 1995, NONLINEAR ADAPTIVE C
[6]   Geometric homogeneity with applications to finite-time stability [J].
Bhat, SP ;
Bernstein, DS .
MATHEMATICS OF CONTROL SIGNALS AND SYSTEMS, 2005, 17 (02) :101-127
[7]   MPC-based torque control of permanent magnet synchronous motor for electric vehicles via switching optimization [J].
Ren B. ;
Chen H. ;
Zhao H. ;
Xu W. .
Control Theory and Technology, 2017, 15 (02) :138-149
[8]   Adaptive fuzzy tracking control design for permanent magnet synchronous motors with output constraint [J].
Chang, Wanmin ;
Tong, Shaocheng .
NONLINEAR DYNAMICS, 2017, 87 (01) :291-302
[9]   Modular neural dynamic surface control for position tracking of permanent magnet synchronous motor subject to unknown uncertainties [J].
Cong, Siming ;
Liu, Lu ;
Wang, Dan ;
Peng, Zhouhua ;
Zhang, Yibo .
NEUROCOMPUTING, 2019, 360 :163-171
[10]  
Deng Y., 2018, ISA T, V88, P161