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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


Ahmed A. Abdelrauf

Waseem W. Saad

Ahmed Hebala

Professor of Electrical Machines and Drives


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.


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
Keywords GPC controller; MPC controller; PID controller; PMSM
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