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Precision control of piezoelectric actuator using inverse hysteresis model and neuro control

机译:使用逆滞后模型和神经控制压电致动器的精确控制

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In this paper, in order to improve the control performance of piezoelectric actuator, an integrated control structure is proposed. The control structure consists of inverse hysteresis model, to compensate the hysteresis nonlinearity problem, and feedforward-feedback controller to give a good tracking performance. The inverse hysteresis model and neural network are used as feedforward controller, and PID controller is used as a feedback controller. From diverse experiments it is concluded that the proposed control scheme gives good tracking performance than the classical control does.
机译:在本文中,为了提高压电致动器的控制性能,提出了一种集成控制结构。控制结构由逆滞后模型组成,以补偿滞后非线性问题,以及前馈 - 反馈控制器以提供良好的跟踪性能。逆滞后模型和神经网络用作前馈控制器,PID控制器用作反馈控制器。从不同的实验中得出结论,所提出的控制方案提供良好的跟踪性能,而不是经典控制。

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