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

doi:10.1007/s12206-015-1243-2

機構典藏 > College of Engineering > Graduate Institute & Department of Mechanical and Electro-Mechanical Engineering > Journal Article > Item 987654321/115953

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/115953

Title:	Design and Implementation of a Robust FNN-based Adaptive Sliding-Mode Controller for Pneumatic Actuator Systems
Authors:	L.W. Lee, and I.H. Li
Keywords:	Adaptive control;Fourier neural network;H∞ tracking performance;Pneumatic actuator system;Sliding mode control
Date:	2016-01-13
Issue Date:	2019-03-13 12:10:24 (UTC+8)
Publisher:	Korean Society of Mechanical Engineers
Abstract:	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.
Relation:	Journal of Mechanical Science and Technology 30(1), p.381-396
DOI:	10.1007/s12206-015-1243-2
Appears in Collections:	[Graduate Institute & Department of Mechanical and Electro-Mechanical Engineering] Journal Article

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	111	View/Open

Loading...