An Adaptive Neuro-Fuzzy Speed Controller for a Separately excited DC Motor
نویسندگان
چکیده
منابع مشابه
Hybrid Adaptive Neuro Fuzzy based speed Controller for Brushless DC Motor
Article Info Abstract This paper presents a Hybrid Adaptive Neuro Fuzzy Control technique for speed control of BLDC motor drives. The proposed controller is an integration of adaptive neuro fuzzy, fuzzy PID and PD controllers. The objective is to utilize the best attribute of fuzzy PID and PD controllers, which exhibits a better response than the neuro fuzzy controllers. The error back propagat...
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Development historically stems from economic growth via industrialization Today’s industries totally depend on control systems. Accurate control is critical to each and every process in industry. DC motors have been popular in the industry control area because DC motors have high starting torque characteristics, high response performance, reliability, flexibility and low cost. DC motors are use...
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A speed sensorless neuro-fuzzy controller is proposed for brush type DC motors. The actual speed of the DC machine is estimated using a feed-forward neural network. The inputs of the neural network are the armature current and voltage of the DC machine and their changes in time. Because DC machines are usually fed by 4-quadrant chopper, the measured armature voltage and current contains higher ...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2012
ISSN: 0975-8887
DOI: 10.5120/4851-7123