Hybrid fuzzy learning/gain adaptive control - A case study for the force control in drilling of composite materials

被引：0
作者：
Sheng, Y [1 ]
Tomizuka, M [1 ]
机构：
[1] Polaris Wireless Inc, Santa Clara, CA USA
来源：
PROCEEDINGS OF THE SIXTH IASTED INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND CONTROL | 2004年
关键词：
fuzzy learning control; adaptive control; process control;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Fuzzy control of thrust force in drilling of composite materials is studied in this paper. A new hybrid fuzzy learning ing/gain adaptive control scheme is proposed. In this approach. the on-line gain adaptation and fuzzy learning control are coordinated together to ensure a superior control performance of the trained fuzzy controller under large process gain variations. This method makes fuzzy learning control practical for complex and time-varying processes such as drilling of composite materials. Simulations are conducted to evaluate the fuzzy controllers.
引用
收藏
页码：215 / 220
页数：6
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