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Dynamic surface control algorithm of flexible manipulator driven by position and velocity disturbance factors
Shixi Tang1,2, Yu Wang3, Hongyong Deng1
1School of Data Science and Information Engineering, Guizhou Minzu University, Gui Yang, 550000, China.
Abstract:
Classic adaptive control systems for the dynamic surface of flexible manipulators suffer from insufficient convergence accuracy for the manipulator's link angular position parameters and rotor angular velocity parameters. To address this issue, a new dynamic surface control algorithm for flexible manipulators driven by position and velocity perturbation factors is proposed. Specifically, two linear factors, [Formula: see text], an offset factor, [Formula: see text], and two functional factors, [Formula: see text], are designed. By optimizing the virtual control law for dynamic surface control, the convergence accuracy of the position and velocity parameters is effectively improved. Compared with the virtual control law algorithm for classic flexible manipulators, the convergence accuracy of the link angular position parameters is improved from 84% to 98%, and the convergence accuracy of the rotor angular velocity parameters is improved from 90% to 98%, effectively enhancing the manipulator's stability.
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