Full Predictive Cascaded Speed and Current Control of an Induction Machine

Garcia, Cristian; Rodriguez, Jose; Silva, C�sar Armando; Rojas, Christian; Zanchetta, Pericle; Abu-Rub, Haitham

Abstract

This paper presents and experimentally validates a new control scheme for electrical drive systems, named cascaded predictive speed and current control (PSCC). This new strategy uses the model predictive control concept. It has a cascaded structure like that found in field-oriented control or direct torque control. Therefore the control strategy has two loops, external and internal, both implemented with model predictive control. The external loop controls the speed, while the inner loop controls the stator currents. The inner control loop is based on Finite Control Set Model Predictive Control (FCS-MPC), and the external loop uses MPC deadbeat, making full use of the inner loop‘s highly dynamic response. Experimental results show that the proposed strategy has a performance that is comparable to the classical control strategies but that it is overshoot-free and provides a better time response.

Citation

Garcia, C., Rodriguez, J., Silva, C. A., Rojas, C., Zanchetta, P., & Abu-Rub, H. (2016). Full Predictive Cascaded Speed and Current Control of an Induction Machine. IEEE Transactions on Energy Conversion, 31(3), 1059-1067. https://doi.org/10.1109/TEC.2016.2559940

• Journal Article Type: Article
• Acceptance Date: Apr 19, 2016
• Online Publication Date: Apr 27, 2019
• Publication Date: 2016-09
• Deposit Date: Oct 6, 2016
• Publicly Available Date: Oct 6, 2016
• Journal: IEEE Transactions on Energy Conversion
• Print ISSN: 0885-8969
• Electronic ISSN: 0885-8969
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 31
• Issue: 3
• Pages: 1059-1067
• DOI: https://doi.org/10.1109/TEC.2016.2559940
• Keywords: Model Predictive control, Electric machines, Variable speed drives, Kalman filters
• Public URL: https://nottingham-repository.worktribe.com/output/783486
• Publisher URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7460935&tag=1
• 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.