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基于PID神经元网络的稳定平台伺服控制系统设计
引用本文:张洪亮,王志胜.基于PID神经元网络的稳定平台伺服控制系统设计[J].江苏电器,2011(1):17-19,55.
作者姓名:张洪亮  王志胜
作者单位:南京航空航天大学自动化学院;
摘    要:介绍了稳定平台传统PID三环控制原理及结构框图.针对传统PID控制器的不足之处,设计了基于PID神经元网络的稳定平台伺服控制系统.仿真结果表明PID神经元网络控制系统具有较高的响应速度、较高的稳定精度和较强的抗负载扰动能力,具有很强的鲁棒性和自适应能力.

关 键 词:稳定平台  伺服控制  三环控制  PID神经元网络

Stable Platform Servo Control System Design Based on PID Neural Network
Authors:ZHANG Hong-liang  WANG Zhi-sheng
Affiliation:ZHANG Hong-liang,WANG Zhi-sheng(College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)
Abstract:Introduction was made to the three-loop control principle of stable platform traditional PID and structural block diagram.In allusion to the insufficiency of traditional PID controller,the stable platform servo control system based on PID neural network(PIDNN) was designed.Simulation result shows that the PIDNN control system is with high response speed,high stability accuracy,strong anti-load disturbances ability,very strong robustness and self-adaptive ability.
Keywords:stable platform  servo control  three-loop control  PID neural network  
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