Grey Prediction Fuzzy Control of the Target Tracking System in a Robot Weapon  

作　　者：王建中 姬江涛 王红茹 

机构地区：[1]State Key Laboratary of Explosion Science and Technology,Beijing Institute of Technology

出　　处：《Journal of Beijing Institute of Technology》2007年第4期424-429,共6页北京理工大学学报（英文版）

基　　金：the Ministerial Level Advanced Research Foundation (061103)

摘　　要：Grey modeling can be used to predict the behavioral development of a system and find out the lead control values of the system. By using fuzzy inference, PID parameters can be adjusted on line by the fuzzy controller with PID parameters self-tuning. According to the characteristics of target tracking system in a robot weapon, grey prediction theory and fuzzy PID control ideas are combined. A grey prediction mathematical model is constructed and a fuzzy PID controller with grey prediction was developed. Simulation result shows fuzzy PID control algorithm with grey prediction is an efficient method that can improve the control equality and robustness of traditional PID control and fuzzy PID control, and has much better performance for target tracking.Grey modeling can be used to predict the behavioral development of a system and find out the lead control values of the system. By using fuzzy inference, PID parameters can be adjusted on line by the fuzzy controller with PID parameters self-tuning. According to the characteristics of target tracking system in a robot weapon, grey prediction theory and fuzzy PID control ideas are combined. A grey prediction mathematical model is constructed and a fuzzy PID controller with grey prediction was developed. Simulation result shows fuzzy PID control algorithm with grey prediction is an efficient method that can improve the control equality and robustness of traditional PID control and fuzzy PID control, and has much better performance for target tracking.

关 键 词：target tracking grey prediction modeling fuzzy PID control 

分 类 号：TP242[自动化与计算机技术—检测技术与自动化装置]