Title :
Optimized research on logic threshold of passenger car based on Genetic Algorithm
Author :
Zhao, Kegang ; Sun, Xinfei
Author_Institution :
Sch. of Mech. & Automotive Eng., South China Univ. of Technol., Guangzhou, China
Abstract :
This paper firstly analyzes the control mechanism of logic thresholds of wheel acceleration and deceleration. Considering working characteristics of the passenger car, a vehicle dynamics platform of Carsim is introduced, and then the Matlab/Simulink is used to run a combined simulation with Carsim. In order to optimize multiple logic thresholds, Genetic Algorithm is used to optimize multi-parameter of ABS controller. It is proved that this method is practical and effective by relative validation procedure.
Keywords :
acceleration control; automobiles; digital simulation; genetic algorithms; vehicle dynamics; wheels; ABS controller; Carsim; Matlab; Simulink; genetic algorithm; logic thresholds; passenger car; vehicle dynamics; wheel acceleration; wheel deceleration; Acceleration; Genetic algorithms; Mathematical model; Optimization; Process control; Vehicles; Wheels; Anti-lock Braking System; Genetic Algorithm; Parameter optimization; Threshold control;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2011 9th World Congress on
Conference_Location :
Taipei
Print_ISBN :
978-1-61284-698-9
DOI :
10.1109/WCICA.2011.5970595
