TUNING PID CONTROLLERS USING HYBRID GENETIC AND NELDER-MEAD ALGORITHM

Document Type : Research Paper

Authors

1 Engineer of automatic control, Faculty of Eng. Helwan University, Helwan, Egypt

2 Faculty of Eng. Helwan University, Egypt

3 Faculty of Eng. Cairo University, Cairo, Egypt

Abstract

This Paper presents a hybrid genetic and Nelder-Mead algorithm (HGNMA) to determine the optimal proportional-integral-derivative (PID) controller parameters. PID controller exhibits good features, including easy implementation, stable convergence characteristic and good computational efficiency. The HGNMA algorithm is implemented in MATLAB, the results obtained from this hybrid technique is compared with that obtained from Genetic Algorithm (GA) and the conventional PID which is tuned via the Ziegler-Nichols frequency response method. The proposed method is more efficient in improving the step response characteristics such as, reducing rise time, settling time and maximum overshoot.

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