NDLI: Robust predictive current control for performance improvement of induction motors with parameter variation

Content Provider	IEEE Xplore Digital Library
Author	Zheng Hu Hameyer, K.
Copyright Year	2015
Description	Author affiliation: Inst. of Electr. Machines, RWTH Aachen Univ., Aachen, Germany (Zheng Hu; Hameyer, K.)
Abstract	In this paper a robust predictive current control approach is developed to tackle the impacts of parameter variation in induction motors on the control performance. The robustness can be achieved in general model predictive control (MPC) by integrating the disturbance into the prediction model, which is estimated by an observer and whose effect is compensated to the system input or output. In such a way the controller is robust against those uncertainties and the system can converge on the required available operating point. However, due to the variation, a non neglectable overshooting appears inevitably, which is critical for systems with hard constraints. In contrast a robust predictive control based on linear matrix inequalities (LMIs) implemented in this paper shows a significant improvement of current control in induction motors. For the real-time application the approximated multiparametric semidefinite programming (mp-SDP) with orthogonal partitioning is approached.
Sponsorship	IEEE
Starting Page	000451
Ending Page	000456
File Size	555738
Page Count	6
File Format	PDF
e-ISBN	9781479917624
DOI	10.1109/IECON.2015.7392141
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-09
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Ellipsoids Current control Uncertainty Cost function Induction motors
Content Type	Text
Resource Type	Article

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