基于粒子群算法的总能量飞控系统优化设计

Optimized Design of Total Energy Flight Control System Based on PSO

为了提高舰载飞机着舰时的操纵性能,并且解除低动压状态下航迹角和空速之间的强烈耦合,基于总能量控制理论设计了着舰飞行/推力综合控制系统。其基本思想是用发动机推力控制飞机总能量,用升降舵控制总能量的分配率。针对总能量飞控系统的参数难以整定的问题,采用粒子群优化算法对待调参数进行优化。建立了综合衡量航迹角的阶跃响应性能及其与空速之间耦合程度的适应度函数指标。在优化迭代中粒子群算法的惯性权重先线性减小,然后保持恒定不变。该方法既增强了算法对最优解的搜索能力,又加快了算法的收敛速度。最后,频域分析表明优化的参数使航迹角传递函数的带宽满足设计要求;仿真结果验证了该飞控系统的有效性。

In order to increase the steering performance of carrier-based aircrafts and relieve the coupling of the flight path angle with velocity under low aerodynamic pressure condition,an integrated carrier landing flight/thrust control system was designed based on total energy control theory.Its basic idea was to use the thrust of engine to control the total energy,and use the elevator to adjust the distribution of the total energy.Since it was difficult to decide the parameters of the total energy flight control system,the particle swarm optimization was used to optimize the parameters.A fitness function index was made to weight the flight path angle step response performance and its coupling with the velocity.In the process of iteration,the inertia weighting value was decreased linearly firstly,then was made to maintain unchanged.This method not only increased the ability to search the optimized parameters but also improved the convergence velocity.The analytic results in frequency domain show that the bandwidth of the control system can fulfill the requirements.And simulation was made to demonstrate the performance of the total energy flight control system.