摘要
采用先进的控制方法对大型民用飞机的多操纵面进行控制,可以有效提高大型民用飞机飞行的安全性和可靠性.针对大型民用飞机的在线滚动时域控制(receding horizon control,RHC)问题,提出了柯西变异鸽群优化(Cauthy mutation pigeon inspired optimization,CMPIO).柯西变异鸽群优化不但保持了鸽群优化(pigeon inspired optimization,PIO)收敛速度快的优点,而且通过执行加入柯西变异的地图和指南针算子和地标算子,可以有效降低优化结果陷入局部最优的概率,改善滚动时域控制的快速性和稳定性.在协调转弯过程和协调转弯的故障重构两个算例的仿真中,基于柯西变异鸽群优化的滚动时域控制使大型飞机稳定地达到参考状态,控制器同时合理地完成了多操纵面的控制分配和故障重构.
Multi-control surfaces controlled by advanced control methods can improve the safety and reliability of large civil aircraft effectively.An on-line optimization algorithm named Cauthy mutation pigeon inspired optimization(CMPIO) is proposed in this paper to solve the receding horizon control(RHC) problem. CMPIO preserves the obvious advantage of pigeon inspired optimization(PIO), which has fast convergence rate. Besides, CMPIO not only reduces the probability of optimization results trapping into local optimum, but enhances the rapidity and reliability of RHC by utilizing the map and compass operator and landmark operator improved by Cauthy mutation. In the simulations of coordinated turn and fault reconstruction in coordinated turn, it is shown that the large civil aircraft reaches reference state quickly and stably in RHC based on CMPIO. Meanwhile, controller completes the control allocation of multiple-control surfaces legitimately.
引文
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