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
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