Performance optimization of electric power steering based on multi-objective genetic algorithm
来源期刊：中南大学学报(英文版)2013年第1期
论文作者：ZHAO Wan-zhong(赵万忠) WANG Chun-yan(王春燕) YU Lei-yan(于蕾艳) CHEN Tao(陈涛)
文章页码：98 - 104
Key words：vehicle engineering; electric power steering; multi-objective optimization; genetic algorithm
Abstract: The vehicle model of the recirculating ball-type electric power steering (EPS) system for the pure electric bus was built. According to the features of constrained optimization for multi-variable function, a multi-objective genetic algorithm (GA) was designed. Based on the model of system, the quantitative formula of the road feel, sensitivity, and operation stability of the steering were induced. Considering the road feel and sensitivity of steering as optimization objectives, and the operation stability of steering as constraint, the multi-objective GA was proposed and the system parameters were optimized. The simulation results show that the system optimized by multi-objective genetic algorithm has better road feel, steering sensibility and steering stability. The energy of steering road feel after optimization is 1.44 times larger than the one before optimization, and the energy of portability after optimization is 0.4 times larger than the one before optimization. The ground test was conducted in order to verify the feasibility of simulation results, and it is shown that the pure electric bus equipped with the recirculating ball-type EPS system can provide better road feel and better steering portability for the drivers, thus the optimization methods can provide a theoretical basis for the design and optimization of the recirculating ball-type EPS system.
ZHAO Wan-zhong(赵万忠)1, 2, WANG Chun-yan(王春燕)1, YU Lei-yan(于蕾艳)3, CHEN Tao(陈涛)1
(1. School of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics,
Nanjing 210016, China;
2. State Key Laboratory of Mechanical Transmission (Chongqing University), Chongqing 400044, China;
3. College of Mechanical and Electronic Engineering, China University of Petroleum, Dongying 257061, China)
Abstract:The vehicle model of the recirculating ball-type electric power steering (EPS) system for the pure electric bus was built. According to the features of constrained optimization for multi-variable function, a multi-objective genetic algorithm (GA) was designed. Based on the model of system, the quantitative formula of the road feel, sensitivity, and operation stability of the steering were induced. Considering the road feel and sensitivity of steering as optimization objectives, and the operation stability of steering as constraint, the multi-objective GA was proposed and the system parameters were optimized. The simulation results show that the system optimized by multi-objective genetic algorithm has better road feel, steering sensibility and steering stability. The energy of steering road feel after optimization is 1.44 times larger than the one before optimization, and the energy of portability after optimization is 0.4 times larger than the one before optimization. The ground test was conducted in order to verify the feasibility of simulation results, and it is shown that the pure electric bus equipped with the recirculating ball-type EPS system can provide better road feel and better steering portability for the drivers, thus the optimization methods can provide a theoretical basis for the design and optimization of the recirculating ball-type EPS system.
Key words:vehicle engineering; electric power steering; multi-objective optimization; genetic algorithm
