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Model predictive control based PID controller for PMSM for propulsion systems

Abdelrauf, Ahmed A.; Saad, Waseem W.; Hebala, Ahmed; Galea, Michael

Authors

Ahmed A. Abdelrauf

Waseem W. Saad

MICHAEL GALEA Michael.Galea@nottingham.ac.uk
Professor of Electrical Machines and Drives



Abstract

Model Predictive Control (MPC) is one of the most suitable controllers for industrial applications, especially for constrained systems. However, it requires high computational burden, which is considered as the main drawback. Proportional Integral Derivative (PID) controller is the most widely used controller in particular for Single Input Single Output (SISO) system and for cascaded control loops, but it is difficult to be tuned especially for a constrained system. Therefore, a combination of PID and MPC is addressed. The basic concept of the proposed technique concentrates on the tuning of PID controller gains based on the MPC performance for the closed loop system considering constraints, which will be applied in a control system consisting of two hierarchical levels structure. The algorithm is applied to control the speed of Permanent Magnet Synchronous Motor (PMSM), which is considered as Multi Input Multi Output (MIMO) system.

Start Date Nov 7, 2018
Publication Date Nov 7, 2018
Publisher Institute of Electrical and Electronics Engineers
APA6 Citation Abdelrauf, A. A., Saad, W. W., Hebala, A., & Galea, M. (2018). Model predictive control based PID controller for PMSM for propulsion systems. doi:10.1109/ESARS-ITEC.2018.8607585
DOI https://doi.org/10.1109/ESARS-ITEC.2018.8607585+
Keywords GPC controller; MPC controller; PID controller; PMSM
Publisher URL https://ieeexplore.ieee.org/document/8607585
Related Public URLs http://www.esars-itec.org/
Additional Information © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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