PID Parameter Selection Based on Iterative Learning Control
نویسنده
چکیده
In this paper, a novel method for designing PID controller is proposed. It uses Iterative Learning Control (ILC) for producing an optimum control signal for the plant and then by using a regression method (Least Squared Error), adjusts PID coefficients so that it acts like the ILC. Then PID is implemented on the plant. This method is simulated on automatic voltage regulating system and results are compared by a PID controller. The results show the effectiveness of this method.
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