首页|基于BAS-PSO优化自抗扰的高速列车速度跟踪控制

基于BAS-PSO优化自抗扰的高速列车速度跟踪控制

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针对高速列车自动驾驶系统,采用基于天牛须粒子群(BAS-PSO)优化自抗扰控制(ADRC)的算法,设计速度跟踪控制器.基于列车动力学模型设计自抗扰控制器,并以ITAE作为目标函数,利用BAS-PSO实现参数整定.选用CRH380A型动车组参数,通过MATLAB进行仿真验证,对比BAS-PSO、PSO以及改进鲨鱼优化ADRC算法对列车目标速度曲线的追踪效果,其中基于BAS-PSO优化ADRC算法的列车目标速度曲线跟踪误差保持在±0.4 km/h的范围内,相比另外两种算法更加紧密地贴近目标速度曲线.结果表明,基于BAS-PSO优化ADRC具有跟踪误差小、抗干扰能力强的优点.
Speed tracking control of high-speed train based on BAS-PSO optimized active disturbance rejection control
Aiming at the Automatic Train Operation of high-speed train,an algorithm based on BAS-PSO optimized auto disturbance rejection control (ADRC) is used to design speed tracking controller.The ADRC is designed based on the train dynamics model,ITAE is used as the objective function,and the parameters are tuned by BAS-PSO.CRH380A train parameters are selected,The tracking effect of BAS-PSO,PSO and improved shark optimized ADRC algorithm on the target speed curve of the train is compared by MATLAB simulation,The tracking error of the train target speed curve based on the BAS-PSO optimized ADRC algorithm is kept in the range of±0.4 km/h,which is closer to the target speed curve than the other two algorithms.The results show that the ADRC based on BAS-PSO optimization has the advantages of small tracking error and strong anti-interference ability.

active disturbance rejection controlbeetle whisker particle swarm optimization algorithmhigh-speed trainspeed tracking

马冬寅、王新屏、李卫东

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大连交通大学自动化与电气工程学院 大连 116028

自抗扰控制 天牛须粒子群算法 高速列车 速度跟踪

2024

电子测量技术
北京无线电技术研究所

电子测量技术

CSTPCD北大核心
影响因子:1.166
ISSN:1002-7300
年,卷(期):2024.47(6)
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