A Fixed-Point Iteration Scheme for Model Predictive Torque Control of PMSMs. Issue 20 (2018)

• Record Type: Journal Article
• Authors: Englert, Tobias; Graichen, Knut
• Is Part Of: IFAC-PapersOnLine. Volume 51:Issue 20(2018)
• Page Start: 568
• Page End: 573
• Publication Date: 2018
• Subjects: nonlinear MPC -- embedded optimization -- augmented Lagrangian method -- fixed-point iteration -- permanent magnet synchronous machine; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2018.11.030
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: This paper proposes a tailored fixed-point iteration scheme for the model predictive torque control of permanent magnet synchronous machines. Both spherical voltage and current constraints are taken into account using a projection function and an augmented Lagrangian approach. The fixed-point scheme is a continuous control set approach and is based on the nonlinear dq-model. The inductivities and permanent magnet flux are modelled current-dependently and therefore account for saturation and parasitic effects. Experimental results on a standard dSpace hardware show the performance as well as the very small computational load of the proposed torque control scheme, which is therefore suitable for an embedded implementation.