Intelligent Fault Tracking by an Adaptive Fuzzy Predictor and a Fractional Controller of Electromechanical System - A Hybrid Approach

被引：0
|
作者：
Banerjee, Tribeni Prasad [1 ]
Das, Swagatam [2 ]
机构：
[1] B C Roy Engn Coll, Durgapur 713206, W Bengal, India
[2] Indian Stat Inst, Elect & Commun Sci Unit, Kolkata, India
来源：
SWARM, EVOLUTIONARY, AND MEMETIC COMPUTING, PT II (SEMCCO 2013) | 2013年 / 8298卷
关键词：
Fuzzy controller; Mechatronics System Maintenance; Proportional Integral and Derivative control; Fractional Control; PROGNOSTICS; MACHINE; DELAY;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we proposed a Fuzzy Fractional order Proportional-integral-derivative (FOPID) controller for electromechanical actuated worm gear operated fuel shut off valve. An adaptive fuzzy fractional control system (FFCS) is used to reduce the fault of a critical mechanical element in the aircraft component. In Aircraft operator and the maintenance people starving to reduce the cost of aircraft maintenance. So the condition based monitoring and control for electromechanical system is very popular recently.
引用
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页码：574 / +
页数：3
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