Grey prediction fuzzy control of the target tracking system in a robot weapon

Jian Zhong Wang*, Jiang Tao Ji, Hong Ru Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Pages (from-to)424-429
Number of pages6
JournalJournal of Beijing Institute of Technology (English Edition)
Volume16
Issue number4
Publication statusPublished - Dec 2007

Keywords

  • Fuzzy PID control
  • Grey prediction modeling
  • Target tracking

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