An Adaptive Takagi-Sugeno Fuzzy Model-Based Predictive Controller for Piezoelectric Actuators
Cheng, Long1,2; Liu, Weichuan1; Hou, Zeng-Guang1; Huang, Tingwen3; Yu, Junzhi1; Tan, Min1
2017-04-01
发表期刊IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
卷号64期号:4页码:3048-3058
文章类型Article
摘要Piezoelectric actuators (PEAs) are widely used in the nanopositioning applications due to their high stiffness, fast response, and ultrahigh precision. However, PEAs inherently have the hysteresis nonlinearity which can dramatically degrade the tracking performance. This paper proposes an adaptive Takagi-Sugeno (T-S) fuzzy model-based predictive controller with a parallel distributed control structure. Compared to the previous results, the proposed controller does not require the inverse hysteresis model of PEAs, and is easy to be calculated because the predictive subcontroller for each T-S fuzzy rule has an explicit form. Meanwhile, the parameters in the T-S fuzzy model can be online adjusted according to the real-time tracking error feedback, and the offline training accuracy of the T-S fuzzy model is no longer a serious concern. In addition, some physical constraints of the proposed controller can be well handled. To verify the proposed method, experiments are conducted on a commercial PEA product, and experiment results show that the proposed method has a satisfactory tracking performance. Furthermore, comparisons with some existing controllers are made and the proposed adaptive fuzzy model-based predictive controller outperforms these controllers.
关键词Adaptive Fuzzy Modeling Hysteresis Model Predictive Control (Mpc) Parallel Distributed Control Piezoelectric Actuators (Peas)
WOS标题词Science & Technology ; Technology
DOI10.1109/TIE.2016.2644603
关键词[WOS]TRACKING CONTROL ; HYSTERESIS ; SYSTEMS ; COMPENSATION ; IDENTIFICATION ; ROBUSTNESS ; INVERSE ; DESIGN ; STAGE
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61422310 ; Beijing Natural Science Foundation(4162066) ; Qatar National Research Fund(NPRP 8-274-2-107) ; 61633016 ; 61370032 ; 61421004)
WOS研究方向Automation & Control Systems ; Engineering ; Instruments & Instrumentation
WOS类目Automation & Control Systems ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS记录号WOS:000397770200051
引用统计
被引频次:17[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/14414
专题复杂系统管理与控制国家重点实验室_先进机器人
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Texas A&M Univ Qatar, Doha 23874, Qatar
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Cheng, Long,Liu, Weichuan,Hou, Zeng-Guang,et al. An Adaptive Takagi-Sugeno Fuzzy Model-Based Predictive Controller for Piezoelectric Actuators[J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,2017,64(4):3048-3058.
APA Cheng, Long,Liu, Weichuan,Hou, Zeng-Guang,Huang, Tingwen,Yu, Junzhi,&Tan, Min.(2017).An Adaptive Takagi-Sugeno Fuzzy Model-Based Predictive Controller for Piezoelectric Actuators.IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,64(4),3048-3058.
MLA Cheng, Long,et al."An Adaptive Takagi-Sugeno Fuzzy Model-Based Predictive Controller for Piezoelectric Actuators".IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 64.4(2017):3048-3058.
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