Intelligent total sliding-mode control with dead-zone parameter modification for a DC motor driver

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Title:	Intelligent total sliding-mode control with dead-zone parameter modification for a DC motor driver
Authors:	Hsu, Chun-Fei
Date:	2013-12-29
Issue Date:	2016-01-06 11:02:54 (UTC+8)
Abstract:	A functional-linked cerebellar model neural network (FCMNN) equipped with sine-cosine perturbed Gaussian basis functions to online approximate an unknown nonlinear term in the system dynamics of a DC motor driver is proposed in this paper. The sine-cosine perturbation in the Gaussian basis functions possessing the ability of handling rule uncertainties is quite useful for real-time applications. Then, an intelligent total sliding-mode control (ITSMC) system which is composed of a computation controller and a robust compensator is proposed.
Relation:	IET Control Theory and Applications 8(11), pp.916-926
DOI:	10.1049/iet-cta.2013.0667
Appears in Collections:	[Graduate Institute & Department of Electrical Engineering] Journal Article

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