针对无人直升机模型阶数较高、负载变化大等问题,提出了一种基于自适应动态面的控制方法.该方法用一阶线性滤波器来估计虚拟控制信号的导数,显著简化了控制器的设计过程.此外,通过对无人机重量的自适应在线估计,保证了闭环系统在有负载变化下的稳定性,并基于李雅普诺夫稳定性理论,证明了轨迹跟踪误差半全局一致最终有界.最后,通过仿真实验进一步证实了该方法的有效性和可行性.
As the existing unmanned helicopter models are of high order and great load change, a control method based on the adaptive dynamic surface approach is proposed. In this method, first, one-order linear filters are used to estimate the time derivatives of virtual control signals, thus significantly simplifying the design of the controller. Then, an on-line adaptive law is used to estimate the helicopter mass, thus guaranteeing the stability of the closedloop system with variable load. Finally, the semi-global uniform bound of tracking errors is proved based on the Lyapunov stability theory. Simulated results indicate that the proposed method is effective and feasible.