Applying active force control with fuzzy self-tuning PID to improve the performance of an antilock braking system

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Main Authors: Mohammed Hussin Ahmed Al-Mola, Musa Mailah, Mohd Azli Salim
Other Authors: dr.mohammedalmola@uomosul.edu.iq
Format: Article
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2022
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Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/73370
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spelling my.unimap-733702022-01-14T02:28:03Z Applying active force control with fuzzy self-tuning PID to improve the performance of an antilock braking system Mohammed Hussin Ahmed Al-Mola Musa Mailah Mohd Azli Salim dr.mohammedalmola@uomosul.edu.iq Anti-lock brake system Active force control PID controller Fuzzy self-tuning Link to publisher's homepage at http://ijneam.unimap.edu.my One of the safety devices in ground vehicles is anti-lock brake system (ABS) that works to prevent wheel lockup when sudden braking happen. The existence of this system in the vehicles gives it the power to control the pressure level in order to preserve the stability of the wheel slip and hence of the vehicle. Though, the ABS displays vigorous nonlinear behavior at any point, the vehicle fitted with the controller might have a propensity for instability. This paper presents a new robust control approach based on an active force control (AFC) loop coupled with a self-tuning fuzzy logic (FL) based proportional-integralderivative (PID) control scheme for the effective performance of the proposed ABS through the simulation analysis. To achieve a satisfactory result in the controller, both the FLPID and FLPID-AFC schemes are simulated and compared. The results is clear that, relative to the FLPID with the AFC scheme displays a quicker and better response under different operating conditions and loads compare with the FLPID controller. The implementation of the AFC-based controller into the ABS offers robust and stable performance that is capable of being deployed on the ground vehicle in a real-time and workable system. 2022-01-14T02:28:03Z 2022-01-14T02:28:03Z 2021-08 Article International Journal of Nanoelectronics and Materials, vol.14(Special Issue), 2021, pages 489-502 1985-5761 (Printed) 1997-4434 (Online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/73370 http://ijneam.unimap.edu.my en Universiti Malaysia Perlis (UniMAP)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Anti-lock brake system
Active force control
PID controller
Fuzzy self-tuning
spellingShingle Anti-lock brake system
Active force control
PID controller
Fuzzy self-tuning
Mohammed Hussin Ahmed Al-Mola
Musa Mailah
Mohd Azli Salim
Applying active force control with fuzzy self-tuning PID to improve the performance of an antilock braking system
description Link to publisher's homepage at http://ijneam.unimap.edu.my
author2 dr.mohammedalmola@uomosul.edu.iq
author_facet dr.mohammedalmola@uomosul.edu.iq
Mohammed Hussin Ahmed Al-Mola
Musa Mailah
Mohd Azli Salim
format Article
author Mohammed Hussin Ahmed Al-Mola
Musa Mailah
Mohd Azli Salim
author_sort Mohammed Hussin Ahmed Al-Mola
title Applying active force control with fuzzy self-tuning PID to improve the performance of an antilock braking system
title_short Applying active force control with fuzzy self-tuning PID to improve the performance of an antilock braking system
title_full Applying active force control with fuzzy self-tuning PID to improve the performance of an antilock braking system
title_fullStr Applying active force control with fuzzy self-tuning PID to improve the performance of an antilock braking system
title_full_unstemmed Applying active force control with fuzzy self-tuning PID to improve the performance of an antilock braking system
title_sort applying active force control with fuzzy self-tuning pid to improve the performance of an antilock braking system
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2022
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/73370
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score 13.18916