Modulated Model Predictive Speed Control for PMSM Drives

Garcia, Cristian; Rodriguez, Jose; Odhano, Shafiq; Zanchetta, Pericle; Davari, S. Alireza

Abstract

Model predictive control (MPC) presents important advantages in the control of the power converter and drives such as, fast dynamic response and capability to include non-linear constrains. These have positioned MPC as a powerful and realistic control strategy, however, it also has disadvantages such as variable switching frequency and parameter sensitivity. This paper applied a modulated model predictive speed control that guarantees a fix switching frequency and, thanks to disturbance compensation, robustness to parameters variation. The strategy is validated and compared to finite set model predictive speed control through simulation results.

Citation

Garcia, C., Rodriguez, J., Odhano, S., Zanchetta, P., & Davari, S. A. (2018). Modulated Model Predictive Speed Control for PMSM Drives. In 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC) (1-6). https://doi.org/10.1109/ESARS-ITEC.2018.8607701

• Conference Name: 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC)
• Conference Location: Nottingham, UK
• Start Date: Nov 7, 2018
• End Date: Nov 9, 2018
• Acceptance Date: Jul 26, 2018
• Online Publication Date: Jan 14, 2019
• Publication Date: 2018-11
• Deposit Date: Oct 26, 2018
• Publicly Available Date: Oct 26, 2018
• Pages: 1-6
• Book Title: 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC)
• ISBN: 978-1-5386-4193-4
• DOI: https://doi.org/10.1109/ESARS-ITEC.2018.8607701
• Keywords: Index Terms—Model Predictive Control; variable speed drives; dead-beat control
• Public URL: https://nottingham-repository.worktribe.com/output/1196315
• Publisher URL: https://ieeexplore.ieee.org/document/8607701
• Related Public URLs: http://www.esars.eu/wp2018/