Simulation of Automobile Brake System Based on PID Algorithm

Li, Zhi

doi:10.1109/iaeac50856.2021.9390707

Cited by 2 publications

(3 citation statements)

References 11 publications

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“…As long as a specific target value is chosen, PID control may achieve the optimum control effect through the use of error feedback control, which is widely used in many different industries. In terms of realization technique and control accuracy, the PID control algorithm performs effectively (Liu, 2021; Rosinova and Kozakova, 2020). The response of the dynamic system with PID controller is relatively slow and enhancements are needed in order to improve the performance.…”

Section: Abs Modelling and Controlmentioning

confidence: 99%

“…A simulation study has been carried out (John and Pedro, 2011) using a PID wheel slip controller for an ABS which is developed for a quarter car model designed to shorten the stopping distance. A real-time capable implicit nonlinear model predictive controller for an ABS is proposed by the hybrid technique with performance comparable to that of a fine-tuned PID controller (Liu, 2021; Rosinova and Kozakova, 2020; Tavernini et al, 2020). Huang and Shih (2011) proposed a hydraulic modulator with intelligent control for the ABS applied to a scooter.…”

Section: Introductionmentioning

confidence: 99%

“…Drakunov et al (1995) investigated the ability of the SMC during braking operation of a four-wheel vehicle model that utilized the maximum road friction force on the wheels to find the algorithm that has the ability to deal with the varied system parameters. The PID control method has been implemented to an ABS of a single-wheel model to track the desired slip ratio and reduce stopping distance (Liu, 2021; Rosinova and Kozakova, 2020). An intelligent active force control (AFC) strategy incorporating an iterative learning algorithm (ILA) was implemented as a robust control scheme and a potential candidate to control the ABS.…”

Section: Introductionmentioning

confidence: 99%

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Experimental implementation of a vehicle anti-lock brake system employing intelligent active force control with a P-type iterative learning algorithm

Al-Mola

Mailah

Abdelmaksoud

2023

Transactions of the Institute of Measurement and Control

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The anti-lock brake system (ABS) is an active safety device used in ground vehicles to increase the brake force between the tire and the road during panic braking. Due to the high non-linearity of the tire and road interaction plus uncertainties derived from vehicle dynamics, a standard proportional-integral-derivative (PID) controller is not deemed enough for the system to produce optimum performance. An active force control (AFC) based scheme is proposed to enhance the robustness of the system and reject undesirable disturbances. A P-type iterative learning algorithm (ILA) is implemented in the AFC loop to estimate the vital parameter continuously for force feedback compensation. In this paper, the control scheme to be known as PID-ILAFC was validated experimentally through its implementation on a test rig. A hardware-in-the-loop (HIL) test via LabVIEW was formulated with novel intelligent control schemes to execute the algorithm in real-time, thereby practically verifying the response of the ABS in the wake of parametric changes and varied operating and loading conditions. The PID-ILAFC controller is specifically designed to provide a proper slip ratio close to the reference value, a reduced stopping distance, and stability in vehicle movement during panic braking. The results clearly exhibit more robustness and superior performance of the AFC-based ABS in achieving the reduced stopping distance and good slip ratio in comparison to the PID and passive counterparts for a dry road condition setting.

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Section: Abs Modelling and Controlmentioning

confidence: 99%