DocumentCode :
3366726
Title :
Application of self-adjustable fuzzy control algorithm in the air suspension of the vehicle
Author :
Yu, Wei Bo ; Wei, Lai ; Pang, Baimei ; Li, Nan
Author_Institution :
Sch. of Electr. & Electron. Eng., Changchun Univ. of Technol., Changchun, China
fYear :
2009
fDate :
9-12 Aug. 2009
Firstpage :
676
Lastpage :
680
Abstract :
The vehicles air suspension system has highly the misalignment, the multi-degrees-of-freedom and time-variable and so on characteristics. There are many uncertain factors when it is controlled. The fuzzy control strategy does not need to establish controlled system´s mathematical model, especially is suitable for the processing uncertainty, the misalignment, the time-dependent system. Usually as soon as the fuzzy controller´s quantification factor and the proportionality factor pass through the determination, in the entire controlled process fixed invariable. Thus, it is very difficult to regard the complicated system to obtain the good control effect. In order to enable the air suspension control system with a certain degree of adaptive capacity, the parameter-self-adjustable fuzzy control arithmetic is adopted According to the fuzzy controller input value´s size, the online adjustment quantification factor and the proportionality factor adapt the controlled plant change, thus the improvement system´s dynamic property and the stable state precision, improve system´s control quality. The test results indicated that the performance indicators of the vehicle have improved.
Keywords :
fuzzy control; road vehicles; self-adjusting systems; springs (mechanical); suspensions (mechanical components); air springs; controlled system mathematical model; online adjustment quantification factor; proportionality factor; self-adjustable fuzzy control algorithm; time-dependent system; vehicles air suspension system; Control system synthesis; Control systems; Fuzzy control; Mathematical model; Process control; Programmable control; Proportional control; Size control; Uncertainty; Vehicles; air spring suspension; fuzzy control; parameter-self-adjustable; simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation, 2009. ICMA 2009. International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-2692-8
Electronic_ISBN :
978-1-4244-2693-5
Type :
conf
DOI :
10.1109/ICMA.2009.5246377
Filename :
5246377
Link To Document :
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