Enhanced Performance of Three-Phase Squirrel-Cage Induction Machine Drive System using Model-predictive-controller in MATLAB/SIMULINK environment
Main Article Content
Abstract
From decades, the three-phase squirrel-cage induction motors are widely being used as industrial drives as they are self-starting, rugged, reliable, and economical, but its precise torque control is still a challenge. Therefore, this work presents a systematic design procedure to develop the novel control strategy, i.e., the model predictive controller for an induction machine drive system using an input-output linearized model of this machine. The results of the proposed scheme are compared with the conventional Proportional Integral (P-I) controller-based system, showing the superior performance of the model predictive controller using MATLAB/SIMULINK environment. The parameters of P-I controller have been calculated using Zeigler Nicholas (ZN) method.
Downloads
Download data is not yet available.
Article Details
How to Cite
Pahwa, V., Matharu, J. S., & ., J. (2024). Enhanced Performance of Three-Phase Squirrel-Cage Induction Machine Drive System using Model-predictive-controller in MATLAB/SIMULINK environment. SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology, 14(04). https://doi.org/10.18090/samriddhi.v14i04.31
Section
Research Article
References
1] Trzynadlowski. A. (2001) Control of Induction Motors. San Diego: Academic Press.
[2] Krishnan, R. (2002). Electric motor drives: Modeling, analysis, and Control. Noida (U.P.), India: Pearson Publishing House.
[3] Imtiyaz T., Prakash A., Bakhsh F. I., and Jain A. (2022). Modelling and Analysis of Indirect Field-Oriented Vector Control of Induction Motor. Lecture Notes in Electrical Engineering: 215–228. doi: 10.1007/978-981-16-7393-1_18.
[4] Fahassa, C., Zahraoui, Y., Akherraz, M., Kharrich, M., Elattar, E. E., and Kamel, S. (2022). Induction Motor DTC Performance Improvement by Inserting Fuzzy Logic Controllers and TwelveSector Neural Network Switching Table. Mathematics, vol. 10, no.
9: 1352-1357. doi: 10.3390/math10091357.
[5] Thakre, M. P. , and Borse, P. S. (2020). Analytical Evaluation of FOC and DTC Induction Motor Drives in Three Levels and Five Levels Diode Clamped Inverter. International Conference on Power, Energy, Control and Transmission Systems (ICPECTS). doi: 10.1109/icpects49113.2020.9337015.
[6] Schwenzer, M., Ay, M. , Bergs, T. and Abel, D. (2021) Review on model predictive control: an engineering perspective. The International Journal of Advanced Manufacturing Technology, vol.
117, no. 5: 1327–1349. doi: 10.1007/s00170-021-07682-3.
[7] Satish Kumar Nalluri, Venkata Krishna Bharadwaj Parasaram, Varun Teja Bathini. (2020). Secure Automation Frameworks for Smart Manufacturing Using Blockchain-Assisted Traceability.
International Journal of Research & Technology, 8(2), 47–53.
Retrieved from https://ijrt.org/j/article/view/879
[8] X. Liu, L. Qiu, Y. Fang, K. Wang, Y. Li, and J. Rodriguez. (2022). A Fuzzy Approximation for FCS-MPC in Power Converters. IEEE Transactions on Power Electronics. vol. 37, no. 8: 9153–9163. doi: 10.1109/tpel.2022.3157847.
[9] Bose, B. K. (2002). Modern Power Electronics and AC drives. Upper Saddle River, NJ: Prentice Hall.
[10] Bhattacharya,S. K. (2013). Control Systems Engineering, Pearson Publishing House.
[11] Patel, V. V. (2020). Ziegler-Nichols Tuning Method. Resonance, vol.
25, no. 10: 1385–1397. doi: 10.1007/s12045-020-1058-z.
[12] Haque, M. H. (1993). Estimation of three-phase induction motor parameters. Electric Power Systems Research. vol. 26, no. 3: 187– 193. doi: 10.1016/0378-7796(93)90012-4.
[13] Sandhu, K.S.and Pahwa, V. (2009). Simulation Study of Three Phase induction motor with variations in moment of inertia. ARPN Journal of Engineering and Applied Sciences. vol. 4, no. 6:72-77.
[2] Krishnan, R. (2002). Electric motor drives: Modeling, analysis, and Control. Noida (U.P.), India: Pearson Publishing House.
[3] Imtiyaz T., Prakash A., Bakhsh F. I., and Jain A. (2022). Modelling and Analysis of Indirect Field-Oriented Vector Control of Induction Motor. Lecture Notes in Electrical Engineering: 215–228. doi: 10.1007/978-981-16-7393-1_18.
[4] Fahassa, C., Zahraoui, Y., Akherraz, M., Kharrich, M., Elattar, E. E., and Kamel, S. (2022). Induction Motor DTC Performance Improvement by Inserting Fuzzy Logic Controllers and TwelveSector Neural Network Switching Table. Mathematics, vol. 10, no.
9: 1352-1357. doi: 10.3390/math10091357.
[5] Thakre, M. P. , and Borse, P. S. (2020). Analytical Evaluation of FOC and DTC Induction Motor Drives in Three Levels and Five Levels Diode Clamped Inverter. International Conference on Power, Energy, Control and Transmission Systems (ICPECTS). doi: 10.1109/icpects49113.2020.9337015.
[6] Schwenzer, M., Ay, M. , Bergs, T. and Abel, D. (2021) Review on model predictive control: an engineering perspective. The International Journal of Advanced Manufacturing Technology, vol.
117, no. 5: 1327–1349. doi: 10.1007/s00170-021-07682-3.
[7] Satish Kumar Nalluri, Venkata Krishna Bharadwaj Parasaram, Varun Teja Bathini. (2020). Secure Automation Frameworks for Smart Manufacturing Using Blockchain-Assisted Traceability.
International Journal of Research & Technology, 8(2), 47–53.
Retrieved from https://ijrt.org/j/article/view/879
[8] X. Liu, L. Qiu, Y. Fang, K. Wang, Y. Li, and J. Rodriguez. (2022). A Fuzzy Approximation for FCS-MPC in Power Converters. IEEE Transactions on Power Electronics. vol. 37, no. 8: 9153–9163. doi: 10.1109/tpel.2022.3157847.
[9] Bose, B. K. (2002). Modern Power Electronics and AC drives. Upper Saddle River, NJ: Prentice Hall.
[10] Bhattacharya,S. K. (2013). Control Systems Engineering, Pearson Publishing House.
[11] Patel, V. V. (2020). Ziegler-Nichols Tuning Method. Resonance, vol.
25, no. 10: 1385–1397. doi: 10.1007/s12045-020-1058-z.
[12] Haque, M. H. (1993). Estimation of three-phase induction motor parameters. Electric Power Systems Research. vol. 26, no. 3: 187– 193. doi: 10.1016/0378-7796(93)90012-4.
[13] Sandhu, K.S.and Pahwa, V. (2009). Simulation Study of Three Phase induction motor with variations in moment of inertia. ARPN Journal of Engineering and Applied Sciences. vol. 4, no. 6:72-77.