Comparative Analysis of Optimized Output Regulation of A SISO Nonlinear System Using Different Sliding Manifolds

This paper presents the design of sliding mode controller for the output regulation of single input single output (SISO) nonlinear systems. The sliding surfaces are designed to force the error dynamics to follow proportional (P), proportional integral (PI) and proportional integral derivative (PID)...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of automation and computing Vol. 14; no. 4; pp. 450 - 462
Main Authors Sunila, M. S., Sankaranarayanan, V., Sundareswaran, K.
Format Journal Article
LanguageEnglish
Published Beijing Institute of Automation, Chinese Academy of Sciences 01.08.2017
Springer Nature B.V
Subjects
Online AccessGet full text
ISSN1476-8186
2153-182X
1751-8520
2153-1838
DOI10.1007/s11633-017-1078-7

Cover

Loading…
More Information
Summary:This paper presents the design of sliding mode controller for the output regulation of single input single output (SISO) nonlinear systems. The sliding surfaces are designed to force the error dynamics to follow proportional (P), proportional integral (PI) and proportional integral derivative (PID) dynamics. The controller parameters are obtained using probabilistic particle swarm optimization technique. A judicious selection of various sliding surfaces based on the relative degree of the systems is also elaborated. A detailed comparison of the output regulation for various systems with different relative degree is presented. Numerical simulation shows the effectiveness of the proposed method and robustness of the sliding mode controller.
Bibliography:Higher order sliding mode, nonlinear system, sliding manifolds, relative degree, probabilistic particle swarm optimization.
11-5350/TP
This paper presents the design of sliding mode controller for the output regulation of single input single output (SISO) nonlinear systems. The sliding surfaces are designed to force the error dynamics to follow proportional (P), proportional integral (PI) and proportional integral derivative (PID) dynamics. The controller parameters are obtained using probabilistic particle swarm optimization technique. A judicious selection of various sliding surfaces based on the relative degree of the systems is also elaborated. A detailed comparison of the output regulation for various systems with different relative degree is presented. Numerical simulation shows the effectiveness of the proposed method and robustness of the sliding mode controller.
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1476-8186
2153-182X
1751-8520
2153-1838
DOI:10.1007/s11633-017-1078-7