火力与指挥控制2013，Vol.38Issue(3)：144-147,4.
武器站伺服系统的模糊神经自适应PI控制
Weapon Station Servo System Based on Fuzzy Neural Adaptive PI Control
摘要
Abstract
To overcome wide variations in loads and parameters and large disturbed moment , an adaptive fuzzy neural network PI controller is designed and applied in rotating velocity control of auto-weapon station. The controller has the structure of dual inputs and single output, which both the error and integration of the error become the inputs of the proposed controller, and output can be obtained by Sugeno model fuzzy neural network. The response and adaptive ability of drive system are improved by initial value derived by PI values. Simulation and experimental results show that the control strategy has better stability and dynamic tracking accuracy.关键词
自动控制技术/模糊神经/自适应/参数摄动/伺服控制Key words
automatic control technology,fuzzy neural,adaptive,parameters variations,servo control分类
军事科技引用本文复制引用
马吴宁,徐诚,霍龙..武器站伺服系统的模糊神经自适应PI控制[J].火力与指挥控制,2013,38(3):144-147,4.基金项目
国防基础研究重点项目 （）
