Design and Implementation of a Robust FNN-based Adaptive Sliding-Mode Controller for Pneumatic Actuator Systems

淡江大學機構典藏 > 工學院 > 機械與機電工程學系暨研究所 > 期刊論文 > Item 987654321/115953

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题名:	Design and Implementation of a Robust FNN-based Adaptive Sliding-Mode Controller for Pneumatic Actuator Systems
作者:	L.W. Lee, and I.H. Li
关键词:	Adaptive control;Fourier neural network;H∞ tracking performance;Pneumatic actuator system;Sliding mode control
日期:	2016-01-13
上传时间:	2019-03-13 12:10:24 (UTC+8)
出版者:	Korean Society of Mechanical Engineers
摘要:	An adaptive Fourier neural network sliding mode controller with H ∞ tracking performance (AFNN-SMC+ H ∞) is applied for a Pneumatic actuator system (PAS) to overcome time-varying nonlinear dynamics and external disturbances. Benefiting from the use of orthogonal Fourier basis function, the proposed AFNN has fast estimated convergence speed; also, because AFNN has unique solution, it can avoid falling into the local minimum. The architecture of AFNN can also easily be determined by its clear physical meaning of the neurons. To attenuate the vibration of proportional directional control valve and the adaptive approximation error, the H ∞ tracking design technique is incorporated into the proposed AFNN-SMC. Finally, practical experiments are successfully implemented in position regulation, trajectory tracking, and velocity control of the PAS, which illustrates the effectiveness of the proposed controller.
關聯:	Journal of Mechanical Science and Technology 30(1), p.381-396
DOI:	10.1007/s12206-015-1243-2
显示于类别:	[機械與機電工程學系暨研究所] 期刊論文

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