Finite control set and modulated model predictive flux and current control for induction motor drives

Odhano, S.A.; Formentini, Andrea; Zanchetta, Pericle; Bojoi, R.I.; Tenconi, A.

Abstract

The paper presents a new implementation of direct flux and current vector control of an induction motor drive using the techniques of model predictive control. The advantages offered by predictive control are used to enhance the dynamics of direct flux vector control. To minimize the problems of variable switching frequency inherent to finite control set predictive control, an alternative approach using pulse width modulation is studied for command execution as occurs in the so-called modulated model predictive control. A comparison between finite control set and modulated model predictive control is presented and the results are also compared with the control implementation through traditional proportional-integral regulators to highlight the advantages and drawbacks of predictive control based strategies. Apart from a greater harmonic content in stator currents, the predictive control can offers control dynamics comparable with proportional-integral control while maintaining immunity against machine parameter variations and excluding the need for controller tuning

Citation

Odhano, S., Formentini, A., Zanchetta, P., Bojoi, R., & Tenconi, A. (2016). Finite control set and modulated model predictive flux and current control for induction motor drives.

• Conference Name: 42nd Annual Conference of IEEE Industrial Electronics Society (IECON 2016)
• End Date: Oct 27, 2016
• Acceptance Date: Jun 27, 2016
• Publication Date: Oct 25, 2016
• Deposit Date: Feb 8, 2017
• Publicly Available Date: Feb 8, 2017
• Peer Reviewed: Peer Reviewed
• Keywords: Predictive control, State estimation, Signal sampling, Variable speed drives, Induction motors, Machine control, Mathematical model, Pulse width modulation converters
• Public URL: https://nottingham-repository.worktribe.com/output/821848
• Publisher URL: http://ieeexplore.ieee.org/document/7793839/
• Related Public URLs: http://www.iecon2016.org/
• Additional Information: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
• Contract Date: Feb 8, 2017