A robust fractional-order sliding mode control technique for piezoelectric nanopositioning stages in trajectory-tracking applications

被引:13
作者
Xu, Rui [1 ,2 ]
Wang, Zhongshi [1 ]
Zhou, Miaolei [3 ]
Tian, Dapeng [1 ,2 ]
机构
[1] Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Key Lab Airborne Opt Imaging & Measurement, Changchun 130033, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Jilin Univ, Coll Commun Engn, Changchun 130012, Peoples R China
基金
美国国家科学基金会;
关键词
Sliding mode control; Fractional-order; Hysteresis; Convergence analysis; Piezoelectric; HYSTERESIS; STABILITY; SYSTEMS; COMPENSATION; INVERSION; DESIGN;
D O I
10.1016/j.sna.2023.114711
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
High-precision control of the piezoelectric nanopositioning stages is becoming a key technique in some precision manufacturing equipment. However, the piezoelectric nanopositioning stages suffer from the hysteresis effect and load disturbance, which damage its positioning accuracy. This paper proposes a fractional-order sliding mode tracking control method combining the fractional-order sliding mode surface and a new two-power reaching law to achieve high-precision tracking control of the piezoelectric nanopositioning stages under different loads. The fractional-order sliding mode surface effectively alleviates its chattering problem. The new two-power reaching law improves the convergence rate of the proposed controller. We conduct a rigorous theoretical analysis of the convergence interval and stability of the proposed controller. To evaluate the performance of the proposed controller, we carry out comparative trajectory tracking experiments on the piezoelectric nanopositioning stages. Results show that the proposed controller exhibits a satisfactory tracking performance even under different loads. Moreover, comparisons show that the proposed fractional-order sliding mode tracking controller outperforms the conventional PID and sliding mode control methods. The tracking performance of the proposed fractional-order sliding mode control method is improved by 59.17% and 39.42% compared with the PID and sliding mode control methods when tracking a sinusoidal signal with a frequency of 100 Hz.
引用
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页数:10
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共 43 条
[11]   Creep, Hysteresis, and Cross-Coupling Reduction in the High-Precision Positioning of the Piezoelectric Scanner Stage of an Atomic Force Microscope [J].
Habibullah ;
Pota, H. R. ;
Petersen, Ian R. ;
Rana, M. S. .
IEEE TRANSACTIONS ON NANOTECHNOLOGY, 2013, 12 (06) :1125-1134
[12]   Design of an adaptive super-twisting decoupled terminal sliding mode control scheme for a class of fourth-order systems [J].
Haghighi, Donya Ashtiani ;
Mobayen, Saleh .
ISA TRANSACTIONS, 2018, 75 :216-225
[13]   High-Precision Tracking of Piezoelectric Actuator Using Iterative Learning Control and Direct Inverse Compensation of Hysteresis [J].
Jian, Yupei ;
Huang, Deqing ;
Liu, Jiabin ;
Min, Da .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 66 (01) :368-377
[14]   Feedback-linearized inverse feedforward for creep, hysteresis, and vibration compensation in AFM piezoactuators [J].
Leang, Kam K. ;
Devasia, Santosh .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2007, 15 (05) :927-935
[15]   Inversion-free force tracking control of piezoelectric actuators using fast finite-time integral terminal sliding-mode [J].
Lee, Jinoh ;
Jin, Maolin ;
Kashiri, Navvab ;
Caldwell, Darwin G. ;
Tsagarakis, Nikolaos G. .
MECHATRONICS, 2019, 57 :39-50
[16]   Weighted homogeneity and robustness of sliding mode control [J].
Levant, Arie ;
Livne, Miki .
AUTOMATICA, 2016, 72 :186-193
[17]   Generalized Inverse Multiplicative Structure for Differential-Equation-Based Hysteresis Models [J].
Li, Zhi ;
Xu, Yunlang ;
Yang, Xiaofeng ;
Feng, Jie ;
Fang, Wei .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 68 (05) :4182-4189
[18]   Tuning PID control parameters for micro-piezo-stage by using grey relational analysis [J].
Lin, J. ;
Chiang, H. ;
Lin, C. C. .
EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (11) :13924-13932
[19]   An Inversion-Free Predictive Controller for Piezoelectric Actuators Based on a Dynamic Linearized Neural Network Model [J].
Liu, Weichuan ;
Cheng, Long ;
Hou, Zeng-Guang ;
Yu, Junzhi ;
Tan, Min .
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2016, 21 (01) :214-226
[20]   Discrete-Time Quasi-Sliding-Mode Control With Prescribed Performance Function and its Application to Piezo-Actuated Positioning Systems [J].
Manh Linh Nguyen ;
Chen, Xinkai ;
Yang, Fan .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2018, 65 (01) :942-950