Intelligent Vehicle Motion Control Based on Improved Immune Algorithm

Vehicle tracking control in intelligent driving cannot achieve accurate and rapid tracking effect by traditional control strategy for speed adjustment, so an immune PID controller for speed tracking control in automatic drive is designed. Through immune optimization algorithm and optimizing PID controller parameters, automatic adjustment of PID parameters can be realized to acquire the object of speed tracking. Simulation results show that immune PID controller in effective combination between immune optimization algorithm and PID controller can not only promote speed tracking to get strong adaptability and anti-interference ability but also provide effectively improve system stability. It improves steady and dynamic performance in system and shows perfect control effect.