Modified model predictive torque control for induction motors with improved robustness against mutual inductance mismatching. (4th May 2021)

• Record Type: Journal Article
• Authors: Abbasi, Muhammad Abbas; Husain, Abdul Rashid; Idris, Nik Rumzi Nik; Rehman, S. M. Fasih ur
• Is Part Of: International transactions on electrical energy systems. Volume 31:Number 8(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-05-04
• Subjects: induction motor -- modeling error -- mutual inductance mismatch -- predictive torque control -- robustness; Electric power -- Periodicals; Electric power systems -- Periodicals; Electrical engineering -- Periodicals; 621.3
• DOI: 10.1002/2050-7038.12927
• Languages: English
• ISSNs: 2050-7038

Abstract

Summary: This article proposes a new model predictive torque control (MPTC) for induction motors to improve its robustness against parameter mismatching when current model (CM) for flux estimation is employed. The main advantages of the proposed method are the improved range of stable operation during the occurrence of mutual inductance L m, mismatched value, lower computational burden, and reduced switching losses. The improvement in robustness is achieved via adaptation of direct torque control (DTC) features thus eliminating any additional parameter estimation mechanism. Reference transformation is used to remove torque error from the cost function to achieve weighting‐factor‐free MPTC formulation. Then, based on the estimated and reference stator flux vector positions, it is established that flux positional error is directly proportional to the torque error. The positional error is then employed to reduce the admissible voltage vectors, which decreases parameter dependence of MPTC. The simulation results are compared to two other well‐established MPTC techniques and based on the results, it is concluded that the proposed MPTC without parameter estimation and compensation technique have a wider tolerability of 56% for L m mismatching. Abstract : The prediction voltage vectors are reduced based on stator flux positional errors between reference flux and estimated flux. Reduced number of voltage vectors improves the inductance mismatching tolerability by 56% as compared to conventional MPTC.