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On-line Parameter Estimation and Adaptive Gain Smooth Sliding Observer-Controller for Robotic Manipulator Control

机译:用于机器人操纵器控制的在线参数估计和自适应增益平滑滑动观察者控制器

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On-line, closed loop estimation scheme, for time-varying parameters is proposed in order to obtain useful information despite loads, external disturbances and faults detection. An adaptive gain, smooth sliding observer- controller is developed to control uncertain parameters, n-degree of freedom (n-DOF), rigid links-rigid joints robotic manipulators. In order to alleviate chattering, smooth switching function, instead of pure relay one, is used into the observer and the controller. The gain of the switching functions is adaptively updated, depending on the estimation error and tracking error, respectively. Using adaptive gains, the response is smoother and tracking performances are improved. Simulation results with a two degree of freedom (2-DOF) robotic manipulator are presented to show the interest of the approach.
机译:提出了在线,闭环估计方案,用于时变参数,以便尽管加载,外部干扰和故障检测,以获得有用的信息。自适应增益,平滑的滑动观察器 - 控制器是为了控制不确定的参数,N对自由度(N-DOF),刚性连杆刚性接头机器人操纵器。为了减轻抖动,使用平滑的切换功能,而不是纯继中的继电器,用于观察者和控制器。根据估计误差和跟踪错误,自适应更新切换功能的增益。使用自适应增益,响应更平滑,并且提高了跟踪性能。提出了具有两自由度(2-DOF)机器人操纵器的仿真结果以表明该方法的兴趣。

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