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INTELIGENT CONTROL STRATEGIES FOR SPEED REGULATION OF DC MOTORS
نويسندهگان:
Farzan Rashidi - Department of Electrical and Computer Engineering, Tehran University Hormozgan University
Mehran Rashidi - Hormozgan University
Javad Abdi - Department of Electrical and Computer Engineering, Tehran University Hormozgan University
خلاصه مقاله:
In this paper we propose several new methods in order to control the speed regulation of a DC motor. These methods are: Fuzzy auto tuning, Gas-based PID controller, Gas-Based Fuzzy PID Controller and Fuzzy PID Controller using neural network. All the Control strategies utilize the
output speed error and its derivative as feedback damping signals.
كلمات كليدي:
DC motor Speed Regulation, Fuzzy Control, GA-Fuzzy system, Neural Network.
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