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
Link To Document :
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