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State-dependent parameter model identification for inverse dead-zone control of a hydraulic manipulator ?

机译:液压机械手的逆死区控制的状态依赖参数模型识别

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The robotic platform in this study has dual, seven-function, hydraulically actuated manipulators, which are being used for research into assisted tele-operation for common nuclear decommissioning tasks, such as pipe cutting. The article concerns the identification of state-dependent parameter (SDP) models for joint angle control. Compared to earlier SDP analysis of the same device, the present work proposes a new way of representing the state-dependent gain and parametrises this using novel regret-regression methods. A mechanistic interpretation of this model yields dead-zone and angular velocity saturation coefficients, and facilitates SDP-based control with an inverse dead-zone. This approach integrates the input signal calibration, system identification and nonlinear control system design steps, using a relatively small data-set, allowing for straightforward recalibration when the dynamic characteristics have changed due to age and use, or after the installation of replacement parts.
机译:该研究中的机器人平台具有双重,七功能,液压驱动的操纵器,用于研究辅助远程操作,以进行普通的核退役任务,如管道切割。本文涉及识别用于关节角度控制的状态依赖参数(SDP)模型。与同一设备的早期SDP分析相比,本工作提出了一种利用新颖的遗憾回归方法代表最相关的增益和参数化的新方式。该模型的机械解释产生死区和角速度饱和系数,并利用逆死区促进基于SDP的控制。该方法使用相对较小的数据集集成输入信号校准,系统识别和非线性控制系统设计步骤,当动态特性由于年龄和使用而改变时,或安装更换部件后,允许直接重新校准。

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