基于粒子群算法的汽车ABS控制器参数的优化设计

An Approach for Optimal Design of the Parameters of an Abs Controller Based on Particle Swarm Optimization Algorithm

提出了基于粒子群算法的汽车ABS控制器参数的优化设计方法。该方法将ABS控制器的参数编码为粒子群中粒子的向量,通过粒子群在参数空间的寻优得到优化的控制参数。然后分别以未优化的参数和优化的参数作为控制参数进行了仿真试验,仿真结果证实了该算法的有效性。最后以优化的参数作为控制参数进行路试,取得了比较满意的制动效果。

The anti-braking system （ABS） is very important for the safety of a vehicle. But the parameters of an ABS controller are currently determined by the experience of technicians plus large amount of tests. We present an approach for optimal design of the parameters of an ABS controller. Such an approach is based on particle swarm optimization（PSO） algorithm. In this approach, the parameters of ABS controller are coded as the vector of particles. The optimized parameter is obtained by using PSO algorithm. Then the contrastive simulation experiments are done using the un-optimized parameters and the optimized parameters. Simulation results show the effectiveness of the proposed approach. Finally, the optimized parameters are set to be the controller parameters and road test is done, satisfactory results are obtained.