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基于改进PSO算法的拖拉机驱动防滑PID控制策略

程准 鲁植雄 唐迪 姜春霞 周晶

计算机应用研究2017,Vol.34Issue(1):83-86,4.
计算机应用研究2017,Vol.34Issue(1):83-86,4.DOI:10.3969/j.issn.1001-3695.2017.01.016

基于改进PSO算法的拖拉机驱动防滑PID控制策略

PID control strategy of tractor driving anti slip control based on improved PSO algorithm

程准 1鲁植雄 1唐迪 2姜春霞 1周晶1

作者信息

  • 1. 南京农业大学 工学院,南京210031
  • 2. 江苏大学 计算机科学与通信工程学院,江苏 镇江212013
  • 折叠

摘要

Abstract

In order to improve the trafficability of the non-road vehicles such as tractors in normal driving and working stages, this paper studied the ASR control strategy.Based on the combination of MATLAB/Simulink and Carsim,it established a trac-tor simulation model.This strategy updated the target slip rate in real time with the new method of road surface identification and used improved particle swarm optimization algorithm to adjust PID control parameters adaptively.Based on different pave-ment,a series of simulation experiments’results show that the target slip rate is changed with the vehicle driving and finally e-qual to the optimal slip rate of the pavement;based on the improved PSO algorithm,it adjusts the PID parameters rapidly,and the speed of the tractor slip rate to the target value is fast,with an average of about 1 .5 s;when driving in the docking road,it can effectively inhibit tractor from high adhesion coefficient road have just entered the low adhesion coefficient road slippery conversion rate soared,in high and low attachment coefficient road stability time are 2.63 and 1.55 seconds.

关键词

通过性/粒子群算法/PID控制/驱动防滑

Key words

trafficability characteristic/particle swarm optimization(PSO)algorithm/PID control/drive slip

分类

信息技术与安全科学

引用本文复制引用

程准,鲁植雄,唐迪,姜春霞,周晶..基于改进PSO算法的拖拉机驱动防滑PID控制策略[J].计算机应用研究,2017,34(1):83-86,4.

基金项目

国家自然科学基金资助项目 ()

计算机应用研究

OA北大核心CSCDCSTPCD

1001-3695

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