Model Predictive Control Based PID Controller for PMSM for Propulsion Systems

Ahmed A. Abdelrauf; Waseem Wafik Saad Elsayed; Ahmed Hebala; Michael Galea

doi:10.1109/esars-itec.2018.8607585

Model Predictive Control Based PID Controller for PMSM for Propulsion Systems

Ahmed A. Abdelrauf, Waseem Wafik Saad Elsayed, Ahmed Hebala, Michael Galea

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

16 Citations (Scopus)

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.

Original language	English
Title of host publication	2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC)
Publisher	IEEE
ISBN (Print)	9781538641927
DOIs	https://doi.org/10.1109/esars-itec.2018.8607585
Publication status	Published - Nov 2018
Externally published	Yes
Event	5th International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference, ESARS-ITEC 2018 - Nottingham, United Kingdom Duration: 7 Nov 2018 → 9 Nov 2018 Conference number: 5

Conference

Conference	5th International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference, ESARS-ITEC 2018
Abbreviated title	ESARS-ITEC 2018
Country/Territory	United Kingdom
City	Nottingham
Period	7/11/18 → 9/11/18

Keywords

n/a OA procedure

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/esars-itec.2018.8607585

Cite this

A. Abdelrauf, A., Wafik Saad Elsayed, W., Hebala, A., & Galea, M. (2018). Model Predictive Control Based PID Controller for PMSM for Propulsion Systems. In 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC) IEEE. https://doi.org/10.1109/esars-itec.2018.8607585

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title = "Model Predictive Control Based PID Controller for PMSM for Propulsion Systems",

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.",

keywords = "n/a OA procedure",

author = "{A. Abdelrauf}, Ahmed and {Wafik Saad Elsayed}, Waseem and Ahmed Hebala and Michael Galea",

year = "2018",

month = nov,

doi = "10.1109/esars-itec.2018.8607585",

language = "English",

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publisher = "IEEE",

address = "United States",

note = "5th International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference, ESARS-ITEC 2018, ESARS-ITEC 2018 ; Conference date: 07-11-2018 Through 09-11-2018",

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A. Abdelrauf, A, Wafik Saad Elsayed, W, Hebala, A & Galea, M 2018, Model Predictive Control Based PID Controller for PMSM for Propulsion Systems. in 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC). IEEE, 5th International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference, ESARS-ITEC 2018, Nottingham, United Kingdom, 7/11/18. https://doi.org/10.1109/esars-itec.2018.8607585

Model Predictive Control Based PID Controller for PMSM for Propulsion Systems. / A. Abdelrauf, Ahmed; Wafik Saad Elsayed, Waseem; Hebala, Ahmed et al.
2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC). IEEE, 2018.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Model Predictive Control Based PID Controller for PMSM for Propulsion Systems

AU - A. Abdelrauf, Ahmed

AU - Wafik Saad Elsayed, Waseem

AU - Hebala, Ahmed

AU - Galea, Michael

N1 - Conference code: 5

PY - 2018/11

Y1 - 2018/11

N2 - 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.

AB - 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.

KW - n/a OA procedure

U2 - 10.1109/esars-itec.2018.8607585

DO - 10.1109/esars-itec.2018.8607585

M3 - Conference contribution

SN - 9781538641927

BT - 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC)

PB - IEEE

T2 - 5th International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference, ESARS-ITEC 2018

Y2 - 7 November 2018 through 9 November 2018

ER -

A. Abdelrauf A, Wafik Saad Elsayed W, Hebala A, Galea M. Model Predictive Control Based PID Controller for PMSM for Propulsion Systems. In 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC). IEEE. 2018 doi: 10.1109/esars-itec.2018.8607585

Model Predictive Control Based PID Controller for PMSM for Propulsion Systems

Abstract

Conference

Keywords

UN SDGs

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