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UKF based robust attitude control for helicopter

机译:基于UKF的直升机鲁棒姿态控制

摘要

In order to handle the model uncertainty and the external disturbance, a robust attitude control method for helicopter robots is proposed in this paper. Unscented Kalman Filter (UKF) and backstepping technique are adopted in the attitude control design. Model-based backstepping control is presented to keep the desired helicopter attitude. UKF is employed for online estimation of both motion states and model errors of the helicopter. Such estimation results are further incorporated into the controller of helicopter. The backstepping control enhanced by real time model errors feedback can achieve a robust tracking performance even with the occurrence of external disturbance. Simulations conducted on the helicopter illustrate the effectiveness of the proposed attitude control.
机译:为了处理模型不确定性和外部干扰,提出了一种鲁棒的直升机机器人姿态控制方法。姿态控制设计采用无味卡尔曼滤波器(UKF)和后推技术。提出了基于模型的反推控制,以保持所需的直升机姿态。 UKF用于在线估计直升机的运动状态和模型误差。这样的估计结果被进一步合并到直升机的控制器中。通过实时模型误差反馈增强的反推控制即使在发生外部干扰的情况下也可以实现强大的跟踪性能。在直升机上进行的仿真说明了所提出的姿态控制的有效性。

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