Assessment of an improved finite control set model predictive current controller for automotive propulsion applications
Journal article, 2020

This paper presents an investigation on finite control set model predictive current control, validated experimentally with a rear axle electrical drive unit used in automotive applications. An improved problem formulation is suggested which lowers the computational turnaround time of the solver with approximately 40% for an horizon length of N=4. Apart from the computational requirement aspects, the assessment focuses on inverter efficiency, phase current total demand distortion, and acoustic performance. The proposed solution is evaluated against a standard double proportional and integrator (PI) field-oriented current controller with pulsewidth modulation. It is shown that the proposed solution is feasible, the associated optimization problem at hand can be solved in real time, while exploiting the attractiveness of the proposed improvements. In summary, it is concluded that the inverter efficiency can be improved without deteriorating neither the phase current harmonics nor the acoustic performance.

electric drives

Acoustic noise

finite control set-model predictive control (FCS-MPC)

permanent magnet synchronous machines


A. Andersson

China-Euro Vehicle Technology (CEVT) AB

Torbjörn Thiringer

Chalmers, Electrical Engineering, Electric Power Engineering, Electrical Machines and Power Electronics

IEEE Transactions on Industrial Electronics

0278-0046 (ISSN)

Vol. 67 1 91-100 8643029

Subject Categories

Computational Mathematics

Control Engineering

Other Electrical Engineering, Electronic Engineering, Information Engineering



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9/1/2020 9