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Simulation Research on PID Control of Automotive Stability Based on Genetic Algorithm Optimization

机译:基于遗传算法优化的汽车稳定性PID控制仿真研究。

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摘要

According to the ideal vehicle model with twodegrees of freedom of the transverse effect of yaw rate and sideslip angle ofthe vehicle stability, the yaw rate and side slip angle as the controlparameter of vehicle stability control system, through the PID controlalgorithm and the Genetic Optimization PID control algorithm is studied on thesimulation diagram, andbuilding in matlab/simulink, theauthor makes a comparison an,d simulation analysis results of the twoalgorithms. Through the combination of simulation results, Genetic OptimizationPID control algorithm has better control effect than PID control algorithm. The amplitude of the yaw rate and sideslip angle andthe overshoot is significantly reduced, significantly improving the stability of automobile when steering.
机译:根据理想的车辆模型有两种横向效应的自由度偏航率和侧滑角车辆稳定性,横摆率和侧滑角为控制车辆稳定性控制系统的参数,通过PID控制遗传算法PID控制算法的研究。仿真图,以及在matlab / simulink中建立作者对两者的仿真分析结果进行了比较算法。通过模拟结果的组合,进行遗传优化PID控制算法比PID控制算法具有更好的控制效果。偏航率和侧滑角的振幅以及大大减少了过冲,大大提高了汽车转向时的稳定性。

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