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Ding Ning
Wang Longshan
Li Guofa
College of Mechanical Science
and Engineering,
Jilin University,
Changchun 130025, China
Chen Daimin
Department of Science Research,
Changchun University,
Changchun 130022, China
Li Xiaomei
College of Mechanical Engineering,
Changchun University,
Changchun 130022, China
Zhang Dingtong
Department of Science
Technology Information,
Agriculture Machine Research
Institute of Jilin Province,
Changchun 130023, China |
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HUMAN-MACHINE
INTELLIGENT
CONTROL SYSTEM FOR GRINDING*
Abstract: A human-machine intelligent control system for grinding is proposed. The system integrates human brain intelligence with machine intelligence. First, the expert system based on neural network decides the initial grinding parameters. Second, the adaptation control system handles the grinding process through the multi-feed and setting overshoot optimization methods. Third, the human-machine interaction adaptation system and two fuzzy–neural networks revise the process parameters in real-time. The experiment of the external cylindrical grinding is conducted. The results show that human-machine intelligent control system is feasible, and can significantly increase grinding efficiency and quality.
Key words:
Human-machine Intelligent control
system Expert system Fuzzy-neural networks Multi-feed
Overshoot Grinding
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