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基于神经网络PID控制的电液位置伺服系统
引用本文:董增寿. 基于神经网络PID控制的电液位置伺服系统[J]. 太原科技大学学报, 2004, 25(3): 213-215
作者姓名:董增寿
作者单位:太原重型机械学院,太原,030024
摘    要:针对电液位置伺服系统,利用神经元的自学习、自适应特点,将神经网络与PID控制方法相结合,对电液伺服系统在线边学习边控制,实现系统的快速实时控制。仿真研究表明,该电液伺服系统具有令人满意的静、动态性能。

关 键 词:位置伺服系统  神经网络  PID控制
文章编号:1000-159X(2004)03-0213-03
修稿时间:2004-03-02

Application of Neural Network Control of Self-adjusted PID Parameters for Electro-hydraulic Position Servo System
DONG Zeng-shou. Application of Neural Network Control of Self-adjusted PID Parameters for Electro-hydraulic Position Servo System[J]. Journal of Taiyuan University of Science and Technology, 2004, 25(3): 213-215
Authors:DONG Zeng-shou
Abstract:We used Neural Network Control of Self-adjusted PID Parameters in Electro-hydraulic Position Servo System. For artificial neural network having a lot of self-learning, self-adjusting and such functions, this controller had better control effect for linear and non-linear time-fixedness systems than traditional PID controllers. The simulation results show that this system has good dynamic and static performance.
Keywords:electro-hydraulic position servo system   neural network   PID control
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