战斗性机动飞行的智能反步自适应控制

Intelligent backstepping adaptive control of aggressive maneuvers flight

针对飞机战斗性机动飞行时模型非线性和参数不确定性的特点,提出了一种非线性反步自适应控制方法。在系统输入输出反馈线性化基础上,基于滑模的思想适当选取李亚普诺夫函数,通过反步的方法回馈递推得到控制律,并且利用粒子群算法优化固定参数改善动态性能,同时设计相应的自适应律来调节未知参数,最后通过伪逆控制分配方法得到最终控制信号。仿真结果表明:在较大的模型气动参数不确定条件下,所设计的控制律仍能理想地跟踪飞机战斗性机动指令飞行,同时具有快速的收敛性和良好的鲁棒性。

A nonlinear backstepping adaptive control method is proposed in the presence of model nonlinearity and parameters uncertainty for aggressive maneuvers flight.The control law is obtained recursively based on a choice of Lyapunov function motivated by slide mode for an input-output feedback linearizable nonlinear system,and unknown parameters are tuned adaptively with fixed parameters optimization done using a particle swarm optimization algorithm.The final control surface deflections are derived by pseudo-inverse control allocation method.Simulation results are obtained to show that the high precise maneuvers can be performed with fast convergence and good robustness properties in spite of large aerodynamic parameters uncertainty.