基于闭环准则的LQG/LTR飞行控制律优化设计

LQG/LTR flight control law optimal design based on Neal-Smith criteria

针对LQG/LTR飞行控制律设计中加权矩阵的选取问题,提出了一种基于闭环准则的LQG/LTR飞行控制律优化设计方法。以俯仰姿态控制律优化设计为例,首先基于闭环准则选取了满足一级飞行品质要求的参考模型,并基于该参考模型使用粒子群优化算法优化得到了两个加权矩阵,从而得到了卡尔曼滤波器和相应的目标反馈回路。进而借鉴飞机等效系统拟配的方法,优化得到了另两个加权矩阵,从而得到了LQG最优控制器,完成了回路传递恢复的优化设计。仿真结果表明,通过该方法能够快速自动地选取合适的加权矩阵,使得优化设计的LQG/LTR飞行控制律较好地满足了俯仰姿态控制的要求。

In view of selecting the weighting matrices automatically in the design of LQG/LTR flight control law,a LQG/LTR flight control law optimal design method based on the Neal-Smith criteria is proposed.The pitch attitude control law design problem is considered,firstly,the reference model is selected based on the Neal-Smith criteria which can satisfy the level 1 flying qualities,and then using the reference model and the particle swarm optimization algorithm to optimize two weighting matrices so the Kalman filter and the target feedback loop are obtained.Secondly,draw lessons from the equivalent system analog-matching method to optimize another two weighting matrices to obtain the LQG optimal controller so the loop transfer recovery is completed.Simulation results show that this optimal design method can get the suitable weighting matrices quickly and automatically so that the LQG/LTR flight control law can meet the requirements of the pitch attitude control preferably.