TUNING PID CONTROLLERS USING HYBRID GENETIC AND NELDER-MEAD ALGORITHM | ||||
| JES. Journal of Engineering Sciences | ||||
| Article 7, Volume 38, No 4, July and August 2010, Page 979-987 PDF (417.21 K) | ||||
| Document Type: Research Paper | ||||
| DOI: 10.21608/jesaun.2010.125556 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| A. A. Lasheen1; A. M. El-Garhy2; E. M. Saad2; S.M. Eid3 | ||||
| 1Engineer of automatic control, Faculty of Eng. Helwan University, Helwan, Egypt | ||||
| 2Faculty of Eng. Helwan University, Egypt | ||||
| 3Faculty 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. | ||||
| Keywords | ||||
| PID controller parameter; Hybrid Genetic Nelder-Mead (HGNMA) | ||||
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