Implementation of Genetic Algorithm for Parameter Tuning of PID Controller in Three Phase Induction Motor Speed Control

Dedid Cahya Happyanto, Ardik Wijayanto


Induction motor at low speeds has a tough speed setting sets the width of the range. This study tested by giving the load motor disorders to describe the condition. The method used for vector control system so that the resulting performance is good at setting the motor speed and torque. This method is used in setting the Proportional Integral Derivative (PID) Tuning parameter settings based on Genetic Algorithm (GA) to provide a dynamic response to changes in speed and load torque on the motor, so we get smoothness at any speed change and braking and maximum torque motors. Optimization function is required to obtain a new PID parameter values each input value changes or load disturbances, in terms of the initial determination of these parameters using Ziegler-Nichols method based on frequency response. Tests were performed at a speed of approximately 1800 rpm value rise time of about 10 seconds after generation added, at a rate of 1800 rpm rise time value of the average remains around 9 seconds, but slightly reduced the oscillations in the response, and the speed of approximately 1700 rpm rise time value of the average is 9 seconds. The test results show that GA-based PID controller has a good response in approximately 0.85% overshoot at the motor speed change and braking


PID controller; Genetic Algorithms; Three Phase Induction Motor

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Ali Emadi, Young Joo Lee, and Kaushik Rajashekara, Power Electronics and Motor Drives in Electric, Hybrid Electric, and Plug-In Hybrid Electric Vehicles, IEEE Transactions On Industrial Electronics, Vol. 55, no. 6, June 2008.

Ali Mohamad Bazzi, Designing Better Induction Motor Drive Systems, From Efficiency, Reliability, And Power Electronics Perspectives, University of Illinois at Urbana-Champaign, 2010, pp. 66.

Dedid Cahya H, Agus Indra G, Rusminto Tjatur W, Tianur, Kontrol Kecepatan Motor Induksi Menggunakan PID-Fuzzy, Jurusan Teknik Elektronika, Politeknik Elektronika Negeri Surabaya, 2010

M.E.H. Benbouzid, D. Diallo, and M. Zeraoulia, “Advanced fault-tolerant control of induction motor drives for EV/HEV traction applications: From conventional to modern and intelligent control techniques,” IEEE Trans. Vehicular Technology, vol. 56, pp. 519-528, March 2007.

Mariam Khan and Narayan C. Kar, Performance Analysis of Fuzzy Based Indirect Field Oriented Control of Induction Motor Drives for Hybrid Electric Vehicles, PHEV2007 Conference, Canada, Novemver 1&2, 2007

Griffin, Ian. On-line PID Controller Tuning using Genetic Algorithms;2003

Neenu Thomas, Dr. P. Poongodi, Position Control of DC Motor Using Genetic Algorithm Based PID Controller, Proceedings of the World Congress on Engineering Vol II, London U.K;2009

Benoit Robyns, F. Berthereau, Jean-Paul Hautier dan Herve Buyse , Multimodel field orientation in an indirect field oriented control (IFOC). IEEE Transactions on Industrial Electronics, Vol. 47, No. 2, April 2000.

Demba Diallo, Member, IEEE, Mohamed El Hachemi Benbouzid, Fault tolerant control system high performance induction motor drive for the electric vehicle, IEEE Transaction On Vehicular Technology, Vol.53,No.6 November 2004

Zulkarnain Lubis, A.N. Abdalla, Mortaza, Mathematical Modeling of the Three Phase Induction Motor Couple to DC, American J. of Engineering and Applied Sciences, 2009, pp. 715-719.



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