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自调式类神经PID控制器于压电微动平台之追迹控制(英文)
引用本文:刘焕彩,杨维志.自调式类神经PID控制器于压电微动平台之追迹控制(英文)[J].控制工程,2009(Z2).
作者姓名:刘焕彩  杨维志
作者单位:虎尾科技大学电机工程系;
摘    要:主要针对压电微动平台设计追迹控制器。压电致动器的非线性现象主要是受磁滞现象所影响,首先采用Prandtl-Ishlinskii(PI)模型来描述压电致动器的磁滞现象,利用最小平方算法识别出磁滞模型的权重值,再利用此模型求出其逆模型以前馈控制器来补偿,最后利用自调式类神经PID控制器来消除建模误差。实验验证方面,在PC-based压电控制平台架构下,利用前馈控制器与闭回路结合自调式类神经PID控制器进行定位控制。

关 键 词:磁滞效应  Prandtl-Ishlinskii模型  压电致动器  自调式类神经PID控制器  

Tracking Control of Micro-Piezoelectric Motion Platform Using Self-Tuning Neuro-PID Controller
LIU Van-Tsai,YANG Wei-Chih.Tracking Control of Micro-Piezoelectric Motion Platform Using Self-Tuning Neuro-PID Controller[J].Control Engineering of China,2009(Z2).
Authors:LIU Van-Tsai  YANG Wei-Chih
Affiliation:Department of Electrical Engineering;National Formosa University;Huwei 632;Taiwan
Abstract:To design a tracking controller for micro-piezoelectric motion platform applications,the hysteresis effect is originated from the piezoelectric actuated platform that provides nonlinear behaviors.A Prandtl-Ishlinskii model is constructed to describe the hysteresis behavior of piezoelectric actuators.The weights of hysteresis model are identified by using the LMS (Least-Mean-Square) algorithm.Based on the Prandtl-Ishlinskii model,a feed-forward controller is developed for compensating the hysteresis nonlinea...
Keywords:hysteresis  prandtl-ishlinskii model  LMS algorithm  Piezoelectric actuator  self-tuningneuro-PID controller  
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