针对在参数不确定性和外部干扰影响下的四旋翼无人机姿态受限控制问题,设计了一种基于扩张状态观测器(Extended State Observer,ESO)的四旋翼无人机姿态受限控制方法。首先,基于四旋翼无人机姿态运动模型构造ESO对集中扰动进行在线估计...针对在参数不确定性和外部干扰影响下的四旋翼无人机姿态受限控制问题,设计了一种基于扩张状态观测器(Extended State Observer,ESO)的四旋翼无人机姿态受限控制方法。首先,基于四旋翼无人机姿态运动模型构造ESO对集中扰动进行在线估计;其次,结合障碍Lyapunov函数设计反步控制器,以克服无人机姿态受限问题;另外,还对所提出的控制策略进行了稳定性分析。最后,通过对比仿真试验验证了该控制方法的有效性和优越性。展开更多
In this paper, a neural network based adaptive prescribed performance control scheme is proposed for the altitude and attitude tracking system of the unmanned helicopter in the presence of state and output constraints...In this paper, a neural network based adaptive prescribed performance control scheme is proposed for the altitude and attitude tracking system of the unmanned helicopter in the presence of state and output constraints. For handling the state constraints, the barrier Lyapunov function and the saturation function are employed. And, the prescribed performance method is used to deal with the flapping angle constraints for the unmanned helicopter. It is proved that the proposed control approach can ensure that all the signals of the resulting closed-loop system are bounded, and the tracking errors are within the prescribed performance bounds for all time. The numerical simulation is given to illustrate the performance of the proposed scheme.展开更多
文摘针对在参数不确定性和外部干扰影响下的四旋翼无人机姿态受限控制问题,设计了一种基于扩张状态观测器(Extended State Observer,ESO)的四旋翼无人机姿态受限控制方法。首先,基于四旋翼无人机姿态运动模型构造ESO对集中扰动进行在线估计;其次,结合障碍Lyapunov函数设计反步控制器,以克服无人机姿态受限问题;另外,还对所提出的控制策略进行了稳定性分析。最后,通过对比仿真试验验证了该控制方法的有效性和优越性。
基金supported by the National Natural Science Foundation of China (Nos. 61573184, 61751210)Aeronautical Science Foundation of China (No. 20165752049)the Fundamental Research Funds for the Central Universities of China (No. NE2016101)
文摘In this paper, a neural network based adaptive prescribed performance control scheme is proposed for the altitude and attitude tracking system of the unmanned helicopter in the presence of state and output constraints. For handling the state constraints, the barrier Lyapunov function and the saturation function are employed. And, the prescribed performance method is used to deal with the flapping angle constraints for the unmanned helicopter. It is proved that the proposed control approach can ensure that all the signals of the resulting closed-loop system are bounded, and the tracking errors are within the prescribed performance bounds for all time. The numerical simulation is given to illustrate the performance of the proposed scheme.
