Open AccessImprovement of Induction Motor Torque Characteristics by Model Predictive Current Controller
Author(s) -
Poondla Dharmendra Kumar,
C Prashanth Sai,
M Vijaya Kumar
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b3579.078219
Subject(s) - control theory (sociology) , direct torque control , stator , torque , induction motor , model predictive control , space vector modulation , computer science , vector control , matlab , controller (irrigation) , current (fluid) , harmonics , inverter , control engineering , engineering , control (management) , voltage , physics , artificial intelligence , mechanical engineering , agronomy , biology , electrical engineering , thermodynamics , operating system
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 it’s simplicity encourages it’s 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.