中文摘要：

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PJ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。

英文摘要：

Due to the features of non - linearity, time - variety and uncertainty of aircraft anti - skid braking sys- tem, 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 re- sults wer compared with the algorithm of PMB ＋ PID. The simulation results show that the method adopted in the pa- per 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.