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Study on High Accuracy Control System for a Hybrid Seven-Bar Actuator

机译:混合动力七杆执行器高精度控制系统研究

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Hybrid seven bar actuator is a typical planar parallel robot It remains with position control following system. Position control accuracy of system determines the profile accuracy of hybrid actuator. According to the characteristics of the hybrid seven bar actuator, incorporating the grey prediction, repetitive control and the conventional PID control, a design method of the Grey prediction Repetitive PID control algorithm (GRPID) is presented for the first time. The hybrid control algorithm can estimate unsure parameters and disturbance of system using grey prediction, and compensate control in terms of the prediction results, and this may improve control quality and robustness of repetitive control for controlling periodic motion. The simulation results show that this algorithm has better performances than that of the conventional repetitive control system. It indicates the control method has better application effect for hybrid actuator taking on a characteristic of periodic motion.
机译:混合动力七个杆式执行器是一个典型的平面并联机器人,它保留在系统后的位置控制。系统的位置控制精度确定混合动力执行器的轮廓精度。根据混合动力七个律致动器的特性,包括灰度预测,重复控制和传统的PID控制,首次呈现了灰色预测重复PID控制算法(GRPID)的设计方法。混合控制算法可以估计使用灰色预测的系统不确定参数和干扰,并在预测结果方面补偿控制,这可以提高用于控制周期运动的重复控制的控制质量和鲁棒性。仿真结果表明,该算法具有比传统重复控制系统更好的性能。它表示控制方法对混合动力致动器采用周期性运动的特征具有更好的应用效果。

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