Model predictive control based PID controller for PMSM for propulsion systems

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

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.

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

• Conference Name: 5th International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC)
• Start Date: Nov 7, 2018
• End Date: Nov 9, 2018
• Acceptance Date: Jul 26, 2018
• Online Publication Date: Jan 14, 2019
• Publication Date: Nov 7, 2018
• Deposit Date: Oct 26, 2018
• Publicly Available Date: Oct 26, 2018
• Publisher: Institute of Electrical and Electronics Engineers
• DOI: https://doi.org/10.1109/ESARS-ITEC.2018.8607585+
• Keywords: GPC controller; MPC controller; PID controller; PMSM
• Public URL: https://nottingham-repository.worktribe.com/output/1195012
• 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.