Improvement of Induction Motor Torque Characteristics by Model Predictive Current Controller
Dharmendra Kumar Poondla1, C Prashanth Sai2, M Vijaya Kumar3
1Dharmendra Kumar Poondla, M. Tech Scholar from Electrical & Electronics Engineering, JNTUA College of Engineering, Ananthapuramu, Andhra Pradesh, India.
2C Prashanth Sai, Research Scholar from Electrical & Electronics Engineering, JNTUA College of Engineering, Ananthapuramu, Andhra Pradesh, India.
3M Vijaya Kumar, Professor from Electrical & Electronics Engineering, JNTUA College of Engineering, Ananthapuramu, Andhra Pradesh, India.
Manuscript received on 24 March 2019 | Revised Manuscript received on 28 March 2019 | Manuscript published on 30 July 2019 | PP: 5578-5583 | Volume-8 Issue-2, July 2019 | Retrieval Number: B3579078219/19©BEIESP | DOI: 10.35940/ijrte.B3579.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper describes the Model Predictive control (MPC) strategy to control the Torque of the Induction Motor (IM) according to the reference torque provided. IM fed with an Three Level Neutral Point Clamped (NPC) Inverter. MPC paves the way to replace complex Space Vector Modulation (SVM) into a simple understandable algorithm. It uses the discretized model of the IM. Stator current is used as a control variable hence called Model Predictive Current Control (MPCC). MPCC is derived from Field Oriented Control (FOC) Technique. MPCC achieves improved nominal torque compared to FOC, But current harmonics are high rather its simplicity encourages its usage and further development in MPC strategies for Embedded Drives. By the end of the paper, both FOC and MPCC controls of IM drive were discussed using MATLAB/SIMULINK.
Keywords: FOC, Induction Motor Drive, MPC, MPCC, NPC Inverter, three Level SVM, Torque Control.
Scope of the Article: Predictive Analysis