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Design and Experimental Verification of UDE-based Robust Control for Lagrangian Systems without Velocity Measurements

机译:无速度测量的拉格朗日系统基于UDE的鲁棒控制的设计和实验验证

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This paper presents an UDE (uncertainty and disturbance estimator) based control approach to position trajectory tracking of a vehicle system without velocity measurements. The vehicle dynamics is described by a disturbed Lagrangian equation. The control strategy is developed by applying passivity techniques to inject damping into the system, and UDE techniques to achieve robustness improvement with respect to input disturbances. A class of new linear filters are identified, by which neither velocity measurements or their estimates are required for UDEs. A novel parameter mapping is proposed to obtain a simple relationship between the design parameter and the ultimate bounds of error trajectories. Both simulation and experimental results for the angular position trajectory tracking of a 3-DOF helicopter demonstrate the effectiveness of the proposed control strategy.
机译:本文提出了一种基于UDE(不确定性和干扰估计器)的控制方法,该方法可以在不进行速度测量的情况下跟踪车辆系统的位置轨迹。车辆动力学由拉格朗日方程组描述。通过应用无源技术向系统中注入阻尼来开发控制策略,并通过UDE技术来实现针对输入干扰的鲁棒性改进。识别出一类新的线性滤波器,通过它们,UDE不需要速度测量或其估计。提出了一种新颖的参数映射,以获得设计参数和误差轨迹的最终边界之间的简单关系。仿真和实验结果对3-DOF直升机的角位置轨迹跟踪都证明了所提出的控制策略的有效性。

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