论文部分内容阅读
为解决因参数不确定,受外界未知扰动等非线性影响的飞行控制问题,以反馈线性化理论为基础,将最小二乘支持向量机引入控制结构,设计了一种基于在线逆误差补偿的非线性鲁棒自适应飞行控制器。经分析推导得出最小二乘支持向量机的自适应权值调整率,并应用Lyapunov稳定性理论证明飞行控制系统闭环渐进稳定。针对某型飞行器,通过构建平均气动模型误差方程模拟实际飞行环境下的不确定非线性影响,开展了6自由度飞行仿真对比试验,仿真结果证明所设计的控制器具有良好的指令跟踪能力和较强的鲁棒性。
In order to solve the problem of flight control, which is influenced by nonlinear parameters such as uncertain parameters and unknown disturbances from the outside world, based on the feedback linearization theory, the least squares support vector machine is introduced into the control structure. An on-line error compensation Linear Robust Adaptive Flight Controller. The adaptive weight adjustment rate of least square support vector machine is derived through analysis and Lyapunov stability theory is used to prove the closed-loop asymptotic stability of flight control system. For a certain type of aircraft, a six-degree-of-freedom flight simulation comparison test is carried out by modeling the average aerodynamic model error equation to simulate the uncertain nonlinear effects under the actual flight environment. The simulation results show that the designed controller has good command tracking ability Strong robustness.