DocumentCode :
3144061
Title :
A Novel Method for Obtaining Real Time Control Strategy Using GA for Dynamical Systems Subjected to External Arbitrary Excitations
Author :
Saud, M. ; Esat, I.I.
Author_Institution :
Brunel Univ., Uxbridge
fYear :
2006
fDate :
15-19 Nov. 2006
Firstpage :
161
Lastpage :
168
Abstract :
"Convolution of the control strategy" a new method that combines the use of genetic algorithm (GA) and convolution integral to optimize a general control force strategy that minimizes the response of the oscillatory systems subjected to an arbitrary excitation. Genetic algorithm is used to optimize a control strategy against shock input, and then convolution integral is used to obtain a general control force strategy against arbitrary excitation by shifting, scaling and summation of the optimized control strategy. Numerical tests are carried out on a two-degree of freedom quarter-vehicle model. The results demonstrate the effectiveness of using the proposed method for active suspension systems. In addition, it presents that the new method can achieve a real time control of systems subjected to an arbitrary excitation.
Keywords :
force control; genetic algorithms; road vehicles; vehicle dynamics; active suspension system; convolution integral; dynamical system; external arbitrary excitation; genetic algorithm; oscillatory system; quarter-vehicle model; real time control strategy; Actuators; Bandwidth; Control systems; Convolution; Energy consumption; Force control; Fuzzy reasoning; Genetic algorithms; Optimal control; Real time systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Leveraging Applications of Formal Methods, Verification and Validation, 2006. ISoLA 2006. Second International Symposium on
Conference_Location :
Paphos
Print_ISBN :
978-0-7695-3071-0
Type :
conf
DOI :
10.1109/ISoLA.2006.61
Filename :
4463708
Link To Document :
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