An Adaptive Takagi-Sugeno Fuzzy Model-Based Predictive Controller for Piezoelectric Actuators

doi:10.1109/TIE.2016.2644603

	An Adaptive Takagi-Sugeno Fuzzy Model-Based Predictive Controller for Piezoelectric Actuators
	Cheng, Long1,2 ; Liu, Weichuan1 ; Hou, Zeng-Guang1 ; Huang, Tingwen 3; Yu, Junzhi1 ; Tan, Min1
发表期刊	IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
	2017-04-01
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
DOI	10.1109/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：102[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	复杂系统认知与决策实验室_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
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	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.