An advanced control strategy for magnetic levitation train system based on an online adaptive PID controller

Umer Akram; Muhammad Khalid; Saifullah Shafiq

doi:10.1109/IEEEGCC.2017.8448027

An advanced control strategy for magnetic levitation train system based on an online adaptive PID controller

Umer Akram, Muhammad Khalid, Saifullah Shafiq

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

8 Scopus citations

Abstract

Magnetic levitation train is an unstable system; state feedback and PID controllers can be used to stabilize the system. Traditional PID and state feedback controllers are simple in design and easy to tune but they cannot give satisfactory performance under larger variations. This paper proposes a new control strategy based on adaptive PID (APID) for magnetic levitation train system. The proposed APID is robust against the parameter variations as it is capable of adjusting its parameters online according to variations in the system. Mathematical model of magnetic levitation train system, adaptive PID, state feedback and PID are derived and implemented in MATLAB. The proposed APID control strategy is assessed in presence of small and large disturbances and simulation results depict the effectiveness of the proposed methodology.

Original language	English
Title of host publication	2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781538627563
DOIs	https://doi.org/10.1109/IEEEGCC.2017.8448027
State	Published - 27 Aug 2018

Publication series

Name	2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Information Systems and Management
Media Technology
Instrumentation

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10.1109/IEEEGCC.2017.8448027

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Akram, U., Khalid, M., & Shafiq, S. (2018). An advanced control strategy for magnetic levitation train system based on an online adaptive PID controller. In 2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017 Article 8448027 (2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IEEEGCC.2017.8448027

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title = "An advanced control strategy for magnetic levitation train system based on an online adaptive PID controller",

abstract = "Magnetic levitation train is an unstable system; state feedback and PID controllers can be used to stabilize the system. Traditional PID and state feedback controllers are simple in design and easy to tune but they cannot give satisfactory performance under larger variations. This paper proposes a new control strategy based on adaptive PID (APID) for magnetic levitation train system. The proposed APID is robust against the parameter variations as it is capable of adjusting its parameters online according to variations in the system. Mathematical model of magnetic levitation train system, adaptive PID, state feedback and PID are derived and implemented in MATLAB. The proposed APID control strategy is assessed in presence of small and large disturbances and simulation results depict the effectiveness of the proposed methodology.",

author = "Umer Akram and Muhammad Khalid and Saifullah Shafiq",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.",

year = "2018",

month = aug,

day = "27",

doi = "10.1109/IEEEGCC.2017.8448027",

language = "English",

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Akram, U, Khalid, M & Shafiq, S 2018, An advanced control strategy for magnetic levitation train system based on an online adaptive PID controller. in 2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017., 8448027, 2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017, Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/IEEEGCC.2017.8448027

An advanced control strategy for magnetic levitation train system based on an online adaptive PID controller. / Akram, Umer; Khalid, Muhammad; Shafiq, Saifullah.
2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017. Institute of Electrical and Electronics Engineers Inc., 2018. 8448027 (2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017).

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

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AU - Akram, Umer

AU - Khalid, Muhammad

AU - Shafiq, Saifullah

PY - 2018/8/27

Y1 - 2018/8/27

N2 - Magnetic levitation train is an unstable system; state feedback and PID controllers can be used to stabilize the system. Traditional PID and state feedback controllers are simple in design and easy to tune but they cannot give satisfactory performance under larger variations. This paper proposes a new control strategy based on adaptive PID (APID) for magnetic levitation train system. The proposed APID is robust against the parameter variations as it is capable of adjusting its parameters online according to variations in the system. Mathematical model of magnetic levitation train system, adaptive PID, state feedback and PID are derived and implemented in MATLAB. The proposed APID control strategy is assessed in presence of small and large disturbances and simulation results depict the effectiveness of the proposed methodology.

AB - Magnetic levitation train is an unstable system; state feedback and PID controllers can be used to stabilize the system. Traditional PID and state feedback controllers are simple in design and easy to tune but they cannot give satisfactory performance under larger variations. This paper proposes a new control strategy based on adaptive PID (APID) for magnetic levitation train system. The proposed APID is robust against the parameter variations as it is capable of adjusting its parameters online according to variations in the system. Mathematical model of magnetic levitation train system, adaptive PID, state feedback and PID are derived and implemented in MATLAB. The proposed APID control strategy is assessed in presence of small and large disturbances and simulation results depict the effectiveness of the proposed methodology.

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DO - 10.1109/IEEEGCC.2017.8448027

M3 - Conference contribution

AN - SCOPUS:85053935313

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T3 - 2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017

BT - 2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

An advanced control strategy for magnetic levitation train system based on an online adaptive PID controller

Abstract

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