Multi-Mode PID Aircraft Anti-Skid Braking Control System Based on Particle Swarm Optimization

The aircraft anti-skid braking system is crucial for the safety and smoothness of aircraft landing and is a key research area in aircraft design. With the development of modern aircraft, the requirements for braking performance are becoming increasingly demanding. The traditional PID-type aircraft anti-skid brake system has problems such as low-speed skidding, poor robustness, and weak adaptability, gradually failing to meet the development requirements of aircraft braking. To address the problems of traditional PID control systems, this paper proposes a multi-mode PID aircraft anti-skid braking control strategy based on Particle Swarm Optimization (PSO). It adopts real-time optimization of PID controller parameters using PSO and formulates braking strategies for high, low, and very low-speed segments based on aircraft speed. A complete simulation model of the aircraft anti-skid brake system and control strategy was established using the Matlab/AMESim platform, with optimal slip ratio as the control objective for simulation verification. The results show that the proposed control strategy can effectively solve the problem of poor low-speed control performance of the traditional strategy, and significantly improve the aircraft anti-skid brake performance.