Smith predictor based-sliding mode controller for integrating processes with elevated deadtime

An approach to control integrating processes with elevated deadtime using a Smith predictor sliding mode controller is presented. A PID sliding surface and an integrating first-order plus deadtime model have been used to synthesize the controller. Since the performance of existing controllers with a...

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Bibliographic Details
Published in:	ISA transactions 2004-04, Vol.43 (2), p.257-270
Main Authors:	Camacho, Oscar, De la Cruz, Francisco
Format:	Article
Language:	eng
Subjects:	Applied sciences Computer science control theory systems Control theory. Systems Deadtime Exact sciences and technology General equipment and techniques Instruments, apparatus, components and techniques common to several branches of physics and astronomy Integrating process Physics Servo and control equipment robots Sliding mode control Smith predictor
Online Access:	Get full text
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Summary:	An approach to control integrating processes with elevated deadtime using a Smith predictor sliding mode controller is presented. A PID sliding surface and an integrating first-order plus deadtime model have been used to synthesize the controller. Since the performance of existing controllers with a Smith predictor decrease in the presence of modeling errors, this paper presents a simple approach to combining the Smith predictor with the sliding mode concept, which is a proven, simple, and robust procedure. The proposed scheme has a set of tuning equations as a function of the characteristic parameters of the model. For implementation of our proposed approach, computer based industrial controllers that execute PID algorithms can be used. The performance and robustness of the proposed controller are compared with the Matausek-Micic scheme for linear systems using simulations.
ISSN:	0019-0578 1879-2022