Controlling and optimization of vehicle based on genetic algorithm method while encountering an emergency collision avoidance

In consideration of the nonlinear tire lateral deviation, a nonlinear two degrees of freedom model is established in Matlab/Simulink, which can be used for emergency avoidance steering. The correctness of the model is verified by real vehicle test. Based on vehicle handling stability evaluation and single neuron self-adaptive Proportional-Integral-Differential control theory, a control algorithm to make vehicle move along the given single route with different speed is proposed. And the result of experiment is good. Next, taking advantage of multi-island genetic algorithm, an optimal control system is achieved to optimize the controlling parameters. The same experiment is carried out again with the optimized system. The results show that the optimized control algorithm is more accurate than the previous one. And it also has good robustness and self-adaption.

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