Artificial Neural Network based Speed Control of Bidirectional Chopper fed Induction Motor Drive using DFRT Theory
نویسندگان
چکیده
In this paper, a new simulink model for a single phase induction motor is proposed using double field revolving theory. To maintain a constant fluid flow with a variation in the pressure head, drives like Fan load and Pump load are operated with closed loop speed control. For non linear loads, closed loop speed control is achieved using a neural network controller. A comparative study has been made between the conventional and neural network controllers. It is observed that the neural network controlled drive system has better dynamic performance, reduced overshoot and faster transient response than the PI controlled system.
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