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Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2007> 16(4): 424-429
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.
shu

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

  • 1.

    State Key Laboratary of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, China

  • 2.

    State Key Laboratary of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, China; College of Vehicle and Power Engineering, Henan University of Science and Technology, Luoyang 471003, China

Funds:the Ministerial Level Advanced Research Foundation (061103)
  • Received Date:2006-11-10
    Abstract
  • 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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    • References (12)
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