A Grey System Modeling Approach for Sliding-Mode Control of Antilock Braking System

The main control objective of an Antilock Braking System (ABS) is to increase the tractive forces between wheel and road surface by keeping the wheel slip at the peak value of μ – λ curve. Conventionally, it is assumed that optimal wheel slip is constant. In this paper, a grey sliding mode controller is proposed to regulate optimal wheel slip depending on the vehicle forward velocity. ABS exhibits strongly nonlinear and uncertain characteristics. To overcome these difficulties, robust control methods should be employed. The concept of grey system theory, which has a certain prediction capability, offers an alternative approach to conventional control methods. The proposed controller anticipates the upcoming values of wheel slip and optimal wheel slip, and takes the necessary action to keep wheel slip at the desired value. The control algorithm is applied to a quarter vehicle model, and it is verified through simulations indicating fast convergence and good performance of the designed controller.

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Application of Sliding Mode Control for Electric Vehicle Antilock Braking Systems

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.505.440 ◽

2012 ◽

Vol 505 ◽

pp. 440-446 ◽

Cited By ~ 1

Author(s):

Jin Gang Guo ◽

Jun Ping Wang

Keyword(s):

Sliding Mode Control ◽

Sliding Mode ◽

Fuzzy Optimization ◽

Disturbance Attenuation ◽

Regenerative Braking ◽

Slip Ratio ◽

Mode Control ◽

Antilock Braking System ◽

Braking Force ◽

Antilock Braking

An antilock braking method based on sliding mode control (SMC) for electric vehicles (EVs) is proposed on the basis of antilock braking dynamics model, and hence an SMC controller of antilock braking system is designed. Aiming at the chattering of SMC, a method of parameter fuzzy optimization for exponential approach law is proposed, which can meet the requirements for small chattering, strong disturbance attenuation and fast convergence. In order to take full advantage of regenerative braking force, a method of braking force distribution between mechanical and electrical braking systems is elaborated. The simulations on the road with different friction coefficients show that the vehicle speed is in good agreement with the wheel speed during braking, and the slip ratio is kept within an optimal range. Adopting SMC based on fuzzy optimization, optimal slip ratio can be tracked fast and accurately. Furthermore, since the regenerative braking force is made full use of during braking, the energy recovery efficiency is high.

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A combining sliding mode control approach for electric motor anti-lock braking system of battery electric vehicle

Control Engineering Practice ◽

10.1016/j.conengprac.2020.104520 ◽

2020 ◽

Vol 102 ◽

pp. 104520

Author(s):

Lin He ◽

Wei Ye ◽

Zejia He ◽

Ke Song ◽

Qin Shi

Keyword(s):

Sliding Mode Control ◽

Electric Vehicle ◽

Electric Motor ◽

Sliding Mode ◽

Battery Electric Vehicle ◽

Control Approach ◽

Braking System ◽

Mode Control

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Sliding Mode Control Optimization Method Using Fuzzy-Gain Scheduling for Rgenerative Braking System

Journal of Advanced Research in Dynamical and Control Systems ◽

10.5373/jardcs/v12sp4/20201629 ◽

2020 ◽

Vol 12 (SP4) ◽

pp. 1504-1509

Author(s):

Anith Khairunnisa Ghazali

Keyword(s):

Sliding Mode Control ◽

Sliding Mode ◽

Optimization Method ◽

Gain Scheduling ◽

Braking System ◽

Mode Control ◽

Control Optimization

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A NEW APPROACH TO THE SLIDING MODE CONTROL DESIGN: ANTI–LOCK BRAKING SYSTEM AS A CASE STUDY

Journal of Electrical Engineering ◽

10.2478/jee-2014-0005 ◽

2014 ◽

Vol 65 (1) ◽

pp. 37-43 ◽

Cited By ~ 3

Author(s):

Staniša Lj. Perie ◽

Dragan S. Antic ◽

Vlastimir D. Nikolic ◽

Darko B. Mitic ◽

Marko T. Milojkovic ◽

...

Keyword(s):

Sliding Mode Control ◽

Sliding Mode ◽

Control Design ◽

Laboratory Equipment ◽

New Approach ◽

Relay Control ◽

Braking System ◽

Mode Control ◽

Orthogonal Filters

Abstract In this paper we introduce a new approach to the sliding mode control design based on orthogonal models. First, we discuss the sliding mode control based on a model given in controllable canonical form. Then, we design almost orthogonal filters based on almost orthogonal polynomials of M¨untz-Legendre type. The advantage of the almost orthogonal filters is that they can be used for the modelling and analysis of systems with nonlinearities and imperfections. Herein, we use a designed filter to obtain several linearized models of an unknown system in different working areas. For each of these linearized models, corresponding sliding mode controller is designed and the switching between controls laws depends only on input signal. The experimental results and comparative analysis with relay control, already installed in laboratory equipment, verify the efficiency and excellent performance of such a control in the case of anti-lock braking system.

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