DocumentCode
582146
Title
SIRMs connected type-2 fuzzy-genetic backing up control of the truck-trailer system
Author
Chengdong, LI ; Xiaolu, Zhang ; Jianqiang, YI
Author_Institution
Sch. of Inf. & Electr. Eng., Shandong Jianzhu Univ., Jinan, China
fYear
2012
fDate
25-27 July 2012
Firstpage
3536
Lastpage
3541
Abstract
Backing up control of the truck-trailer system, which is nonlinear and unstable, is a well-known benchmark for examining the nonlinear control design techniques. This paper presents a single-input-rule-modules (SIRMs) connected type-2 fuzzy logic control scheme for this nonlinear multi-variable system. And, to improve the control performance, genetic algorithms (GAs) are adopted for the optimization of the controller parameters. At last, in order to demonstrate the effectiveness and superiority of the proposed control scheme, simulations and comparisons are given. Simulation results show that the designed fuzzy controller can smoothly achieve backing up control of the truck-trailer from all initial positions. Comparisons with type-1 fuzzy controllers demonstrate that the type-2 fuzzy controller with more parameters can provide better performance.
Keywords
control system synthesis; fuzzy control; genetic algorithms; multivariable control systems; nonlinear control systems; position control; road vehicles; stability; GA; SIRM connected type-2 fuzzy-genetic backing up control; control performance improvement; controller parameter optimization; fuzzy controller design; genetic algorithms; nonlinear control design techniques; nonlinear multivariable system; single-input-rule-modules connected type-2 fuzzy logic control scheme; truck-trailer system; Biological cells; Control systems; Engines; Fuzzy logic; Fuzzy sets; Genetic algorithms; Simulation; Genetic Algorithm; Single Input Rule Module; Truck-trailer System; Type-2 Fuzzy Control;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2012 31st Chinese
Conference_Location
Hefei
ISSN
1934-1768
Print_ISBN
978-1-4673-2581-3
Type
conf
Filename
6390536
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