摘要
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 。
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.
出处
《昆明理工大学学报（理工版）》
2004年第6期50-53,共4页
Journal of Kunming University of Science and Technology(Natural Science Edition)
基金
上海理工大学创新基金
关键词
压电陶瓷驱动器
控制模型
仿真
神经网络
迟滞
piezoelectric actuators
control model
hysteresis
BP artificial neural network
