A new approach in Anti-lock Braking System (ABS) based on adaptive neuro-fuzzy self-tuning PID controller

Raesian, N.; Khajehpour, Navid; Yaghoobi, Mahdi

doi:10.1109/icciautom.2011.6356714

Cited by 26 publications

(12 citation statements)

References 16 publications

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“…Second, in most of the previously proposed cases, as for instance in [10][11][12]16], braking on a straight even surface excludes the lateral dynamics influence on the controller, and, thus, on the vehicle safety performance. The simulation results in Section 5 show that the lateral dynamics during cornering maneuvers and on split-µ road profiles braking must be taken into consideration as they are essential in car spin and roll-over avoidance.…”

Section: Discussionmentioning

confidence: 99%

“…First, the proposed controller does not require a reference error and change of error input variables as in [10][11][12]15] Instead, the controller covers the whole braking process stable area. The human experience containing rule-base block provides a suitable pressure to hold an optimal for every studied road surface slip value.…”

Section: Discussionmentioning

confidence: 99%

“…The UOD parameterization was obtained during the case study. The µ x operational space is bounded between [10,40].…”

Section: (T)-reference Input U(t)-process Inputs Y(t)-processmentioning

confidence: 99%

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Design and Simulation of the Robust ABS and ESP Fuzzy Logic Controller on the Complex Braking Maneuvers

2016

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Abstract:Automotive driving safety systems such as an anti-lock braking system (ABS) and an electronic stability program (ESP) assist drivers in controlling the vehicle to avoid road accidents. In this paper, ABS and the ESP, based on the fuzzy logic theory, are integrated for vehicle stability control in complex braking maneuvers. The proposed control algorithm is implemented for a sport utility vehicle (SUV) and investigated for braking on different surfaces. The results obtained for the vehicle software simulator confirm the robustness of the developed control strategy for a variety of road profiles and surfaces.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Design and Simulation of the Robust ABS and ESP Fuzzy Logic Controller on the Complex Braking Maneuvers

2016

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“…One of the recent PID control applied for ABS is adaptive and self-learning PID controller is referred to in [1]. This method uses the adaptive neuro-fuzzy system to estimate the self-turning parameters of a PID.…”

Section: Introductionmentioning

confidence: 99%

Development of Anti-lock Braking System (ABS) for Vehicles Braking

et al. 2016

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This paper develops a real laboratory of anti-lock braking system (ABS) for vehicle and conducts real experiments to verify the ability of this ABS to prevent the vehicle wheel from being locked while braking. Two controllers of PID and fuzzy logic are tested for analysis and comparison. This ABS laboratory is designed for bachelor and master students to simulate and analyze performances of ABS with different control techniques on various roads and load conditions. This paper provides educational theories and practices on the design of control for system dynamics.

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“…This is where the value of wheel slip ratio will lie. The system responds well in this region and thus maintains slip between 0.2-0.3 gives good stability in almost all the surfaces [9]. …”

Section: Fig 3: Desired Region Of Designmentioning

confidence: 99%

Study on Algorithm of braking Pressure Estimation for Single Channel Anti-Lock Braking System

Chandwadkar¹,

Shah²

2017

IJCA

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In this Paper, the vehicle equipped with electromechanical brakes are taken as research objective, and the simulation and research on the control strategy of Anti-Lock braking system is done. The force acting upon the wheels is analyzed first using quarter vehicle model and simulated in order to understand the vehicle dynamics. Next, the performance characteristics of the hydraulic unit were analyzed. Finally, a closed loop feedback control algorithm is developed to modulate the pressure in accordance with the force acting on the wheels. The result shows that the actual wheel slip and force can be tracked by estimating the angular velocity of the wheels with an allowable pressure error. KeywordsAutomotive engineering, braking, hydraulic control unit, pressure estimation, estimation force, single channel anti-lock braking system, force estimation, quarter vehicle model, mathematical model, Slip of wheel.

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A new approach in Anti-lock Braking System (ABS) based on adaptive neuro-fuzzy self-tuning PID controller

Cited by 26 publications

References 16 publications

Design and Simulation of the Robust ABS and ESP Fuzzy Logic Controller on the Complex Braking Maneuvers

Design and Simulation of the Robust ABS and ESP Fuzzy Logic Controller on the Complex Braking Maneuvers

Development of Anti-lock Braking System (ABS) for Vehicles Braking

Study on Algorithm of braking Pressure Estimation for Single Channel Anti-Lock Braking System

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