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WANG Jian-zhong, JI Jiang-tao, WANG Hong-ru. Grey Prediction Fuzzy Control of the Target Tracking System in a Robot Weapon[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2007, 16(4): 424-429.
Citation: WANG Jian-zhong, JI Jiang-tao, WANG Hong-ru. Grey Prediction Fuzzy Control of the Target Tracking System in a Robot Weapon[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2007, 16(4): 424-429.

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

  • 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.
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