压电陶瓷驱动器控制模型建立及仿真

介绍了一种压电陶瓷微位移驱动器的控制模型．借助于统计物理学分析，结合数学方法，利用BP人工神经网络建立了一个简单实用的压电陶瓷的迟滞数学模型，并根据实测压电陶瓷电压／位移数据，对该控制模型进行了仿真，仿真结果表明，所建立的模型可有效地减小压电陶瓷的迟滞非线性误差，提高压电陶瓷微位移的控制精度，有助于实现压电陶瓷驱动器的高精度微位移开环控制．

Controlled Model and Simulating Behavior of Piezoelectric Actuators

A control model of piezoelectric actuators is introduced. By means of statistic physical analysis and mathematic method, a simple and practical mathematic formula describing the hysteresis of a piezoelectric actuators built by BP artificial neural network. According to some experimental results of the voltage and distance, the simulating behavior of the control model was practiced. The result shows that the model is effective in diminishing the error arising from nonlinear hysteresis. In this way micro-positioning control accuracy of piezoelectric actuators can be improved. As a result, the research is helpful to effect high precision open loop micro-positioning controls based on piezoelectric actuators.