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Rebounded PSO Method for Sigmoid PID Controller for a Maglev System with Input Saturation

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Standard

Rebounded PSO Method for Sigmoid PID Controller for a Maglev System with Input Saturation. / Diab, Mohammad; Mercorelli, Paolo; Haus, Benedikt et al.
Soft Computing and Its Engineering Applications: 6th International Conference, icSoftComp 2024, Bangkok, Thailand, December 10-12, 2024, Revised Selected Papers, Part II. ed. / Kanubhai K. Patel; KC Santosh; Gabriel Gomes de Oliveira; Atul Patel; Ashish Ghosh. Vol. 2 Cham: Springer Nature, 2025. p. 230-244 (Communications in Computer and Information Science; Vol. 2431 CCIS).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Harvard

Diab, M, Mercorelli, P, Haus, B & Dethmann, J 2025, Rebounded PSO Method for Sigmoid PID Controller for a Maglev System with Input Saturation. in KK Patel, KC Santosh, G Gomes de Oliveira, A Patel & A Ghosh (eds), Soft Computing and Its Engineering Applications: 6th International Conference, icSoftComp 2024, Bangkok, Thailand, December 10-12, 2024, Revised Selected Papers, Part II. vol. 2, Communications in Computer and Information Science, vol. 2431 CCIS, Springer Nature, Cham, pp. 230-244, 6th International Conference on Soft Computing and its Engineering Applications, -icSoftComp 2024, Bangkok, Thailand, 10.12.24. https://doi.org/10.1007/978-3-031-88042-1_18

APA

Diab, M., Mercorelli, P., Haus, B., & Dethmann, J. (2025). Rebounded PSO Method for Sigmoid PID Controller for a Maglev System with Input Saturation. In K. K. Patel, KC. Santosh, G. Gomes de Oliveira, A. Patel, & A. Ghosh (Eds.), Soft Computing and Its Engineering Applications: 6th International Conference, icSoftComp 2024, Bangkok, Thailand, December 10-12, 2024, Revised Selected Papers, Part II (Vol. 2, pp. 230-244). (Communications in Computer and Information Science; Vol. 2431 CCIS). Springer Nature. https://doi.org/10.1007/978-3-031-88042-1_18

Vancouver

Diab M, Mercorelli P, Haus B, Dethmann J. Rebounded PSO Method for Sigmoid PID Controller for a Maglev System with Input Saturation. In Patel KK, Santosh KC, Gomes de Oliveira G, Patel A, Ghosh A, editors, Soft Computing and Its Engineering Applications: 6th International Conference, icSoftComp 2024, Bangkok, Thailand, December 10-12, 2024, Revised Selected Papers, Part II. Vol. 2. Cham: Springer Nature. 2025. p. 230-244. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-88042-1_18

Bibtex

@inbook{2fb6535c1a51491bb7a166e1e3c40c83,
title = "Rebounded PSO Method for Sigmoid PID Controller for a Maglev System with Input Saturation",
abstract = "In this paper a control of a magnet levitation system using a PID controller will be presented. In particular, the article provides a PSO optimization method to optimize a cost function consisting of an ITAE (integral of the time weighted absolute error) with a weighted ITAI (integral of the time weighted absolute input) for tuning the parameters of a PID controller and an Input-Sigmoid anti-windup control function to minimize the effect of the limitation of the voltage input in a Maglev system. The proposed technique takes the system in a saturation for a suitable time to obtain the optimization of the defined cost function. The proposed rebounded PSO is inspired by the idea that the integral part of the controller should not exceed the saturation limit. To realise a rebounded PSO, the idea is to randomize the reference best particles (gbestjk) inside their boundary when they are on the lower or upper bound. Once a large enough search region is defined, the idea is to obtain a suboptimum inside the boundary. A PSO is developed and is devoted to optimize five parameters: PID parameters, a parameter which characterizes the input-sigmoid function and a parameter to realize an optimal derivative action in the presence of noise. Simulation results show the effectiveness of the proposed method.",
keywords = "Anti-saturation, Anti-windup, Maglev system, PID, PSO method, Engineering",
author = "Mohammad Diab and Paolo Mercorelli and Benedikt Haus and Jannis Dethmann",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; 6th International Conference on Soft Computing and its Engineering Applications, -icSoftComp 2024, icSoftComp 2024 ; Conference date: 10-12-2024 Through 12-12-2024",
year = "2025",
doi = "10.1007/978-3-031-88042-1_18",
language = "English",
isbn = "978-3-031-88041-4 ",
volume = "2",
series = "Communications in Computer and Information Science",
publisher = "Springer Nature",
pages = "230--244",
editor = "Patel, {Kanubhai K.} and KC Santosh and {Gomes de Oliveira}, Gabriel and Atul Patel and Ashish Ghosh",
booktitle = "Soft Computing and Its Engineering Applications",
address = "Switzerland",

}

RIS

TY - CHAP

T1 - Rebounded PSO Method for Sigmoid PID Controller for a Maglev System with Input Saturation

AU - Diab, Mohammad

AU - Mercorelli, Paolo

AU - Haus, Benedikt

AU - Dethmann, Jannis

N1 - Conference code: 6

PY - 2025

Y1 - 2025

N2 - In this paper a control of a magnet levitation system using a PID controller will be presented. In particular, the article provides a PSO optimization method to optimize a cost function consisting of an ITAE (integral of the time weighted absolute error) with a weighted ITAI (integral of the time weighted absolute input) for tuning the parameters of a PID controller and an Input-Sigmoid anti-windup control function to minimize the effect of the limitation of the voltage input in a Maglev system. The proposed technique takes the system in a saturation for a suitable time to obtain the optimization of the defined cost function. The proposed rebounded PSO is inspired by the idea that the integral part of the controller should not exceed the saturation limit. To realise a rebounded PSO, the idea is to randomize the reference best particles (gbestjk) inside their boundary when they are on the lower or upper bound. Once a large enough search region is defined, the idea is to obtain a suboptimum inside the boundary. A PSO is developed and is devoted to optimize five parameters: PID parameters, a parameter which characterizes the input-sigmoid function and a parameter to realize an optimal derivative action in the presence of noise. Simulation results show the effectiveness of the proposed method.

AB - In this paper a control of a magnet levitation system using a PID controller will be presented. In particular, the article provides a PSO optimization method to optimize a cost function consisting of an ITAE (integral of the time weighted absolute error) with a weighted ITAI (integral of the time weighted absolute input) for tuning the parameters of a PID controller and an Input-Sigmoid anti-windup control function to minimize the effect of the limitation of the voltage input in a Maglev system. The proposed technique takes the system in a saturation for a suitable time to obtain the optimization of the defined cost function. The proposed rebounded PSO is inspired by the idea that the integral part of the controller should not exceed the saturation limit. To realise a rebounded PSO, the idea is to randomize the reference best particles (gbestjk) inside their boundary when they are on the lower or upper bound. Once a large enough search region is defined, the idea is to obtain a suboptimum inside the boundary. A PSO is developed and is devoted to optimize five parameters: PID parameters, a parameter which characterizes the input-sigmoid function and a parameter to realize an optimal derivative action in the presence of noise. Simulation results show the effectiveness of the proposed method.

KW - Anti-saturation

KW - Anti-windup

KW - Maglev system

KW - PID

KW - PSO method

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=105006829690&partnerID=8YFLogxK

U2 - 10.1007/978-3-031-88042-1_18

DO - 10.1007/978-3-031-88042-1_18

M3 - Article in conference proceedings

AN - SCOPUS:105006829690

SN - 978-3-031-88041-4

VL - 2

T3 - Communications in Computer and Information Science

SP - 230

EP - 244

BT - Soft Computing and Its Engineering Applications

A2 - Patel, Kanubhai K.

A2 - Santosh, KC

A2 - Gomes de Oliveira, Gabriel

A2 - Patel, Atul

A2 - Ghosh, Ashish

PB - Springer Nature

CY - Cham

T2 - 6th International Conference on Soft Computing and its Engineering Applications, -icSoftComp 2024

Y2 - 10 December 2024 through 12 December 2024

ER -

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Advancing Sustainability and Productivity: The Role of Precision Agriculture in Vineyards and Olive Groves

Fernandes, F. M., Dos Santos, M. F., De Morais, M. H. F., Lima, J., Pereira, A. I. & Mercorelli, P., 2025, Proceedings of the 2025 26th International Carpathian Control Conference (ICCC): Grandhotel Starý Smokovec, High Tatras, Starý Smokovec, Slovak Republic, 19-21 May 2025. Kacur, J., Skovranek, T., Laciak, M. & Mojzisova, A. (eds.). Piscataway: Institute of Electrical and Electronics Engineers Inc., 6 p. (International Carpathian Control Conference, ICCC; vol. 26).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

A Fluid Elastomeric Actuator Design for Soft Robots

Els, D., van Niekerk, T., Mercorelli, P. & Welgemoed, J., 09.2025, In: Actuators. 14, 9, 14 p., 417.

Research output: Journal contributions › Journal articles › Research › peer-review

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Li, X., Zhang, Q., Gu, H., Othmen, S., Asklany, S., Lhioui, C., Elrashidi, A. & Mercorelli, P., 07.2025, In: PLoS ONE. 20, 7, 22 p., e0327249.

Research output: Journal contributions › Journal articles › Research › peer-review

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Pimentel, G. O., Santos, M. F. D., Lima, J., Mercorelli, P. & Fernandes, F. M., 15.01.2025, In: Sensors. 25, 2, 27 p., 479.

Research output: Journal contributions › Journal articles › Research › peer-review

Automatic Tuning of Extended Kalman Filter in Synchronous Reluctance Motor Drives with a Master-Slave Configuration

Rigon, S., Haus, B., Mercorelli, P. & Zigliotto, M., 27.02.2025, In: IEEE Open Journal of Power Electronics. 6, p. 734-746 13 p.

Research output: Journal contributions › Journal articles › Research › peer-review

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