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基于粒子群算法的汽车ABS控制器参数的优化设计
引用本文:郑太雄,李锐.基于粒子群算法的汽车ABS控制器参数的优化设计[J].机械科学与技术(西安),2007,26(9):1172-1174.
作者姓名:郑太雄  李锐
作者单位:重庆邮电大学自动化学院 重庆400065
基金项目:国家高技术研究发展计划(863计划) , 重庆市教委资助项目 , 国家自然科学基金
摘    要: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。

关 键 词:粒子群算法  PSO  汽车  ABS  参数优化
文章编号:1003-8728(2007)09-1172-03
修稿时间:2006-05-31

An Approach for Optimal Design of the Parameters of an ABS Controller Based on Particle Swarm Optimization Algorithm
Zheng Taixiong,Li Rui.An Approach for Optimal Design of the Parameters of an ABS Controller Based on Particle Swarm Optimization Algorithm[J].Mechanical Science and Technology,2007,26(9):1172-1174.
Authors:Zheng Taixiong  Li Rui
Affiliation:College of Automation, Chongqing University of Posts and Telecommunication, Chongqing 400065
Abstract: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.
Keywords:particle swarm optimization algorithm  PSO  Abs  parameter optimization
本文献已被 CNKI 维普 万方数据 等数据库收录!
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