Non‐linear MPC for winding loss optimised torque control of anisotropic PMSM
Author:
Affiliation:
1. Institute of Control Systems, Karlsruhe Institute of TechnologyKarlsruheGermany
2. SHARE am KIT, Schaeffler Technologies AG & Co. KGKarlsruheGermany
Publisher
Institution of Engineering and Technology (IET)
Subject
General Engineering,Energy Engineering and Power Technology,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2018.8143
Reference15 articles.
1. PreindlM. BolognaniS. DanielsonC.: ‘Model predictive torque control with PWM using fast gradient method’.IEEE Applied Power Electronics Conf. and Exposition (APEC) Long Beach CA USA 2013 vol.28 pp.2590–2597
2. CiminiG. BernardiniD. BemporadA.et al.: ‘Online model predictive torque control for permanent magnet synchronous motors’.IEEE Int. Conf. on Industrial Technology (ICIT) Seville Spain 2015 pp.2308–2313
3. Continuous‐time model predictive control of a permanent magnet synchronous motor drive with disturbance decoupling;Errouissi R.;IET Electr. Power Appl.,2017
4. Robust control invariant sets and lyapunov‐based MPC for IPM synchronous motor drives;Preindl M.;IEEE Trans. Ind. Electron.,2016
5. CarpiucS. LazarC.: ‘Energy‐efficient model predictive speed control of permanent magnet synchronous machine based automotive traction drives’.IEEE Vehicle Power and Propulsion Conf. (VPPC) Coimbra Portugal 2014 pp.1–6
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1. Development of Double Closed-loop Vector Control Using Model Predictive Control for Permanent Magnet Synchronous Motor;Journal of Control, Automation and Electrical Systems;2021-03-06
2. Robust model predictive current control without dead‐zone compensation;IET Electric Power Applications;2020-08-12
3. Induction Machine Control for a Wide Range of Drive Requirements;Energies;2019-12-31
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