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
论文数: 0引用数: 0
h-index: 0
机构:
Polaris Wireless Inc, Santa Clara, CA USAPolaris Wireless Inc, Santa Clara, CA USA
Sheng, Y
[1
]
Tomizuka, M
论文数: 0引用数: 0
h-index: 0
机构:
Polaris Wireless Inc, Santa Clara, CA USAPolaris Wireless Inc, Santa Clara, CA USA
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.