Field Oriented Economic Model Predictive Control for Permanent Magnet Synchronous Motors. Issue 2 (2020)

• Record Type: Journal Article
• Authors: Geweth, D.; Zanelli, A.; Frison, G.; Vollmer, U.; Diehl, M.
• Is Part Of: IFAC-PapersOnLine. Volume 53:Issue 2(2020)
• Page Start: 9093
• Page End: 9099
• Publication Date: 2020
• Subjects: predictive control -- electric motors -- nonlinear systems; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2020.12.2143
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: This paper proposes a novel nonlinear model predictive control approach for permanent magnet synchronous machines (PMSM). The optimization problem is formulated as a field oriented economic model predictive control (FO-EMPC) problem and therefore a target selector is not necessary. A dq-model of the PMSM with spherical voltage and current constraints is taken into account. A terminal set and a terminal penalty are introduced to mitigate stability and convergence issues with a short prediction horizon. The performance of the proposed control scheme is demonstrated in a simulation study on a personal computer and in a hardware-in-the-loop simulation, which show that the transition time is reduced by more than one order of magnitude with respect to state-of-the-art approaches, especially when the voltage constraint becomes active.