Genetic algorithm optimization of terminal sliding mode multi-agent braking slip rate control

Braking stability is an important part of the safe driving process of the car, and the slip rate control directly affects the braking safety of the vehicle. In the braking process, the slip rate control is a nonlinear, time-varying complex system. In this paper, the vehicle braking process is modeled by considering the load transfer phenomenon. The non-singular terminal sliding mode control strategy based on multi-agent is designed and the algorithm is analyzed for Lyapunov stability. In order to improve the fastness and weakening chattering of non-singular terminal sliding mode control algorithm based on multi-agent, a genetic algorithm is introduced to optimize the design parameters of non-singular terminal sliding mode and improve the performance of the control system. Finally, the joint simulation was carried out by Carsim-Simulink, and the vehicle was selected for experimental simulation on a standard uniform road surface and a dry cement road surface. Finally, the simulation results show that the proposed algorithm has good control effect and meets the stability requirements of vehicle braking.