飞机刹车系统最佳滑移率性能研究  

Research on Optimum Slip Ratio Characteristic of Aircraft Braking Systems

作　　者：张智慧[1] 李玉忍[1] 梁波[1] 

机构地区：[1]西北工业大学自动化学院,陕西西安710072

出　　处：《计算机仿真》2014年第10期48-51,85,共5页Computer Simulation

基　　金：国家自然科学基金(51107100);陕西省自然科学基金(2011GQ7001)

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。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.

关 键 词：滑移率 飞机防滑刹车 迭代学习 粒子群 

分 类 号：V271.4[航空宇航科学与技术—飞行器设计]