GWO-PID控制算法的汽车线控转向系统研究

Research on Automobile Steering-by-Wire System Based on GWO-PID Control Algorithm

为了提高汽车转向系统工作性能,对其线控转向系统进行了研究。首先,在对线控转向系统结构与原理分析基础上,建立其动力学模型;基于MATLAB/Simulink软件,建立其仿真模型。在此基础上,研究线控转向系统PID控制算法,对前轮转角进行控制。为进一步提高系统稳定性,采用灰狼算法对PID参数进行优化。最后,采用双移线实验工况进行仿真实验;结果表明所研究的转向系统具有良好的转向性能、GWO-PID控制算法较之PID控制算法可使汽车转向相关关键指标参数更快达到稳态值,提高了汽车转向稳定性和行车安全性。

In order to improve the performance of automobile steering system,its steer-by-wire system is studied.Firstly,based on the analysis of the structure and principle of steer-by-wire system,its dynamic model is established.Based on MATLAB/Simulink software,its simulation model is established.On this basis,the PID control algorithm of steer-by-wire system is studied to control the front wheel angle.In order to further improve the stability of the system,the grey wolf algorithm is used to optimize the PID parameters.Finally,the simulation experiment is carried out under the experimental condition of double line shifting.The results show that the studied steering system has good steering performance.Compared with PID control algorithm,GWO-PID control algorithm can make the key index parameters of automobile steering reach the steady-state value faster,and improve the steering stability and driving safety of automobile.