Cooperative Control of High-Speed Train System Based on GA-PID Algorithm

Aiming at the problem that PID (proportional integral-differential) controller of high-speed train cannot adjust parameters adaptively during operation, a distributed cooperative control strategy of high-speed train based on GA (Genetic algorithm)-PID algorithm is proposed. Firstly, a multi-agent model of high-speed train is constructed by analyzing the force and considering the internal physical and information coupling of high-speed train. Secondly, the GA-PID controller is designed by using the speed and displacement information between trains. Finally, the actual parameters of high-speed trains are simulated. The results show that the algorithm proposed in this paper can make all trains track the target curve quickly and accurately, and keep the safe distance between adjacent trains, and has good adaptability to the complex operating environment of trains.