EKF Based Model Predictive Torque Control of Induction Motors

Altınışık Y. E., Demir R.

International Conference on Design, Research and Development, Kayseri, Turkey, 15 - 18 December 2021, pp.205

  • Publication Type: Conference Paper / Summary Text
  • City: Kayseri
  • Country: Turkey
  • Page Numbers: pp.205
  • Kayseri University Affiliated: Yes

Abstract

In this study, speed-sensorless model predictive torque control (MPTC) based induction motor (IM) drive that control performance is improved by estimating rotor resistance is presented. For this purpose, in addition to the speed and flux information required for high-performance speed control of MPTC, estimation of rotor resistance was realized by Extended Kalman filter (EKF) that uses the stator currents and voltages which are measured as inputs. The rotor resistance estimated by GKF is updated to the MPTC system at each sampling step, reducing the deteriorates caused by parameter changes. Designed EKF algorithm and MPTC based IM driver which used this algorithm is tested and confirmed in simulation environment over a wide speed range under challenging scenarios including load torque and rotor resistance variations. The obtained simulation results confirm that the GKF algorithm has high estimation performance, and accordingly the speed-sensorless MPTC-based ASM drive has high control performance.