基于遗传算法的LQG/LTR航空发动机性能优化

The LQG/LTR Contral Optimization Based on Genetic Algorithm for Aeroengine

针对飞行控制系统控制器的设计中存在建模误差以及飞行过程中外界干扰的影响,采用LQG/LTR鲁棒控制方法完成某型战斗燃油机控制系统控制器的设计。为了提高战斗机控制精度,解决LQG/LTR鲁棒控制方法中存在的权矩阵Q和R选择困难的局限性,加入遗传算法,进行在线寻优。同时针对不同飞行条件下系统以及系统建模过程中造成的参数不确定性问题分别进行仿真,并与传统PID以及控制效果较好的基于遗传算法的PID控制进行对比仿真。理论研究和系统仿真结果表明,基于遗传算法的LQG/LTR控制系统与基于遗传算法的PID控制相比,不但具有良好的鲁棒性,而且响应快速,控制精度高,满足了战斗机飞行控制的要求。

In order to overcome the modeling errors existing in the controller design of flight control system and the in- fluence of interference during the flight, this paper completed the controller of a certain type battle fuel machine control sys- tem by adopting LQG/LTR robust control method. And in order to improve the control precision of the fighter and to solve the limitations of selection of the weight matrix Q and R, genetic algorithm was added to find the optimal online. Simulation results show that, compared with PID controller based on genetic algorithm, LQG/LTR control system based on genetic algorithm has good robustness, rapid response, and high control accuracy, which can meet the flight control requirements of the fighter.