首页> 中文期刊> 《电光与控制》 >基于粒子群优化的多操纵面飞行器的重构控制

基于粒子群优化的多操纵面飞行器的重构控制

         

摘要

提出一种基于粒子群优化算法的控制分配算法的重构控制策略。利用粒子群优化算法的实时性、高效性等优点,选择出符合最优性能指标要求的控制输入量,解决控制分配算法问题。当操纵面出现一个或多个损伤、失效等故障时,飞行控制系统能实时地调节控制效率矩阵,从而对各操纵面进行再分配,实现重构控制。仿真表明,该策略在飞行器遇到故障时能快速地调整,降低对故障操纵面的使用,协调其他操纵面及时解决故障问题,从而保证飞行器的正常工作。%A novel reconfigurable control strategy using the control allocation based on the Particle Swarm Optimization( PSO ) algorithm is proposed .The control input for the optimal performance index can be selected efficiently in real time through the PSO,thus to solve the problem of control allocation .When one or more of the multiple effectors of the aircraft are damaged or lose efficacy,the flight control system can adjust the efficiency of the control matrix properly and use the new control matrix to complete the redistribution of the effectors.Simulation results show that the reconfigurable control method can efficiently adjust the effectors,and the fault problem can be solved timely by reducing the use of the damaged effectors and coordinating the normal effectors,thus can ensure the normal flight of the aircraft .

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