【摘要】 在飞机防滑刹车控制优化的研究中,针对飞机防滑刹车系统的非线性、时变和不确定性,从相对滑移率出发,推导了关于闭环PI型迭代学习控制算法的防滑刹车系统模型;利用粒子群算法对迭代控制中的PI参数进行在线实时更新。在参数保持一致的情况下,以matlab7.1为仿真平台、飞机减速率为目标函数,对系统进行仿真与分析,并与传统的PMB+PID算法进行了比较。仿真结果表明,方法效果明显优于PBM+PID算法,证明了ntfj算法在控制性能上的正确性、优越性,对飞机刹车系统优化设计提供了很好的理论依据。更多还原

【Abstract】 Due to the features of non- linearity,time- variety and uncertainty of aircraft anti- skid braking system,starting from the relative slip rate,a model of aircraft anti- skid braking system was derived based on closed-loop PI iterative learning control algorithm and the algorithm of Particle Swarm Optimization( PSO) which updates PI parameters of iterative control online and real- time. In the case of the same parameters,taken matlab7. 1 as the simulation platform and the aircraft deceleration rate as the objective function,the system was simulated and the results wer compared with the algorithm of PMB + PID. The simulation results show that the method adopted in the paper is obviously better than the algorithm of PMB + PID. Both the correctness and superiority of the algorithm control characteristic are proved. Simultaneously the method provides good theoretical references for the optimal design for aircraft brake system.更多还原