%0 Journal Article
%T Simulation Research on PID Control of Automotive Stability Based on Genetic Algorithm Optimization
%A Rongxu Zhang
%A Bo Zhao
%J Open Access Library Journal
%V 5
%N 5
%P 1-9
%@ 2333-9721
%D 2018
%I Open Access Library
%R 10.4236/oalib.1104625
%X <div style="text-align:justify;">
	<span style="line-height:1.5;">According to the ideal vehicle model with two
degrees of freedom of the transverse effect of yaw rate and sideslip angle of
the vehicle stability, the yaw rate and side slip angle as the control
parameter of vehicle stability control system, through the PID control
algorithm and the Genetic Optimization PID control algorithm is studied on the
simulation diagram, and
building in matlab/simulink, the
author makes a comparison an</span><span style="line-height:1.5;">d simulation analysis results of the two
algorithms. Through the combination of simulation results, Genetic Optimization
PID control algorithm has better control effect than PID control algorithm. The amplitude of the yaw rate and sideslip angle and
the overshoot is significantly reduced, significantly improving the stability of automobile when steering.</span>
</div>
%K Vehicle Stability Control
%K Combined Simulation
%K Genetic Optimization PID Algorithm
%U http://www.oalib.com/paper/5293821