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

Journal
International Journal of Nanoelectronics and Materials (IJNeaM)
ISSN
1985-5761
Date Issued
2021-08
Author(s)
Mohammed Hussin Ahmed Al-Mola
University of Mosul
Musa Mailah
Universiti Teknologi Malaysia
Mohd Azli Salim
Universiti Teknikal Malaysia Melaka
Handle (URI)
https://ijneam.unimap.edu.my/
https://hdl.handle.net/20.500.14170/13870
Abstract
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.
Subjects
  • Anti-lock brake syste...

  • Active force control

  • PID controller

  • Fuzzy selftuning

File(s)
Applying active force control with fuzzy self-tuning PID to improve the performance of an antilock braking system.pdf (1.41 MB)
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