Vector Controlled Induction Motor Drive Using Genetic Algorithm Tuned PI Speed Controller

• Autorzy: Dey A. , Singh B. , Dwivedi B. , Chandra D.
• Języki publikacji: EN

Abstrakty

EN

In (his paper, timing and optimization of the proportional and integral (PI) gains of speed controller is achieved using Genetic Algorithm (GA) for improving the performance of the induction motor drive because higher the quality of the controller lesser is the ripples produced in the torque and speed responses. The developed GA program has multi-objective minimization functions. The optimized values of PI gains are incorporated in vector controlled induction motor model for performance analysis during sudden disturbances like speed reversal, load application and load removal. GA tuning method outstandingly surpasses the conventional and most widely used Ztegler Nichols Tuning method. GA tuned PI controller reduces the peak overshoot almost by 60% and quickly brings the system to steady state value. The simulated results obtained from GA tuned PI controller can be realized and validated through experimental results in future work.

Słowa kluczowe

EN

genetic algorithm; vector control; tuning of PI; Ziegler Nichols Tuning Method

• Wydawca: AGH University of Science and Technology ; Lodz University of Technology
• Czasopismo: Electrical Power Quality and Utilisation. Journal
• Rocznik: 2009
• Tom: Vol. 15, iss. 1
• Strony: 3--8
• Opis fizyczny: Bibliogr. 9 poz.

Twórcy

autor

Dey A.

• nstitute of Engineering and Technology, India

autor

Singh B.

• 11 T Delhi, India

autor

Dwivedi B.

• Institute of Engineering and Technology, India

autor

Chandra D.

• MNNIT, Allahabad India

Bibliografia

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• 3. Krishnan R., Bharadwaj A. S.: A Review of Parameter Sensitivity and Adaptation in Indirect Vector Controlled Induction Motor Drive Systems, IEEE Transaction on Power Electronics. Vol. 6 No. 4, pp. 695-703, October 1991.
• 4. Vas P.: Sensorleas Vector and Direct Torque Control : Oxford University Press: NY (USA), 2003.
• 5. Toufouti R., Mc/aine S., Benalla if.; Direct Torque Control for Induction Motor using Intelligent Technique*, Journal of Theoretical and Applied Information Technology, pp. 35-44, 2007.
• 6.Nagrath I.J., Gopal M.: Control System Engineering-, 41h edition, New Age International Publishers: New Delhi, 2005.
• 7. Liu G.P., Yang J.B.. Whidbornc J. Y.: Multiobjective Optimization and Control; Prentice Hall of India: New Delhi, 2003.
• 8. Sastry K.: Single and Mitlltobjeclive Genetic Algorithm Toolbox, in C++". IlliGAL Report, No. 2007016, June 2007.
• 9. U stun S. W.: GA-Baseti Optimization of PI Speed Controlle Coefficients for ANN-Modeled Vector Controlled Induction Motor. Journal of Applied Sciences, 7(24), pp. 4110-4006, 2007