Optimal design of a non-linear controller for anti-lock braking system

Mirzaei, Mehdi; Mirzaeinejad, Hossein

doi:10.1016/j.trc.2012.01.008

Cited by 54 publications

(35 citation statements)

References 23 publications

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“…Additionally, the asymptotic stability property and robustness are discussed by employing the Lyapunov stability method. Sliding mode control techniques have been widely used in vehicle dynamics control systems such as anti-lock braking systems, yaw stability control systems, and traction control systems due to their strong robustness [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]. Since the vehicles operate under a wide range of speed and road conditions, the vehicle controllers should provide robustness against varying parameters and undesired disturbances over all the driving regions.…”

Section: Introductionmentioning

confidence: 99%

Wheel Slip Control for Improving Traction-Ability and Energy Efficiency of a Personal Electric Vehicle

2015

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Abstract:In this paper, a robust wheel slip control system based on a sliding mode controller is proposed for improving traction-ability and reducing energy consumption during sudden acceleration for a personal electric vehicle. Sliding mode control techniques have been employed widely in the development of a robust wheel slip controller of conventional internal combustion engine vehicles due to their application effectiveness in nonlinear systems and robustness against model uncertainties and disturbances. A practical slip control system which takes advantage of the features of electric motors is proposed and an algorithm for vehicle velocity estimation is also introduced. The vehicle velocity estimator was designed based on rotational wheel dynamics, measurable motor torque, and wheel velocity as well as rule-based logic. The simulations and experiments were carried out using both CarSim software and an experimental electric vehicle equipped with in-wheel-motors. Through field tests, traction performance and effectiveness in terms of energy saving were all verified. Comparative experiments with variations of control variables proved the effectiveness and practicality of the proposed control design. OPEN ACCESSEnergies 2015, 8 6821

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Section: Introductionmentioning

confidence: 99%

Wheel Slip Control for Improving Traction-Ability and Energy Efficiency of a Personal Electric Vehicle

2015

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“…So, it is impracticable to consider all relevant characteristics of the locomotive when designing the controller. As Kim et al (2011), Lin and Hsu (2003), Mirzaei and Mirzaeinejad (2012), Mirzaei, et al (2006), Jing, Liu, and Chen (2011) and Anwar and Zheng (2007), like the road vehicles, the quarter locomotive longitudinal dynamics is considered as a low-order model of the plant (Figures 1 and 2). This model is obtained from a straight line braking on a flat rail without considering the lateral and vertical motions.…”

Section: Modelling the Longitudinal Dynamics Of Locomotivementioning

confidence: 99%

Adaptive Fuzzy Sliding-Mode Control of Wheel Slide Protection Device for ER24PC Locomotive

Mousavi

Markazi

Masoudi

2017

Lat. Am. j. solids struct.

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Wheel Slide Protection Devices (WSPD) are employed in railway vehicles to maximize the average of the possible frictional braking force, which is a nonlinear function of the slip ratio of the wheel sets. In this paper, to control the WSPD, a low-order model is presented and un-modeled dynamics are considered as uncertainties. Due to the nonlinear dynamics of the system and presence of uncertainties, Adaptive Fuzzy Sliding-Mode Control (AFSMC) is employed to regulate the slip ratio towards the desired value. The proposed controller employs a Pulse Width Modulation (PWM) technique to generate the braking torque. The second Lyapunov theorem is used to prove the closed-loop asymptotic stability. In the simulations, the switching dynamics of WSPD is considered and the multi-body dynamics method is used for modeling the longitudinal dynamics of ER24PC locomotive. The obtained results reveal that by using the AFSMC method, the slip ratios of wheel sets converge to the reference values. Unlike the conventional method, in which the fluctuations of slip ratio diverge near the stopping time, simulation studies reveal that with the AFSMC method, the stopping time of the locomotive and the fluctuation amplitude of the slip ratios are reduced.

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“…The ABS static testing can check the electrical part and the off/on action of solenoid valve. However, it cannot ensure the matching performance after ABS assembly [3] . HIL combines the actual ABS controller with a numerical simulation environment to form a closed-loop test system to test the response of ABS.…”

Section: Introductionmentioning

confidence: 99%

Modelling for ABS Bench Detection Method

Hao¹,

Zhou²,

Lu³

2017

Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)

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Abstract-For the high cost, large land occupation and low detection efficiency of auto ABS road experiment, an auto ABS indoor bench detection principle was proposed to make the detection of the integrative performance of auto ABS conveniently. The bench detection system mainly consists of road adhesion coefficient simulation unit, auto motion inertia simulation unit, measurement & control system and data acquisition system. In order to verify the correctness of the bench detection principle, the vehicle model, wheel model, braking force model, and tire-road model on the bench are established according to the ABS bench detection scheme. The simulation results show that the characteristic of the simulation curves are consistent with the ABS braking curves, which indicates the feasibility of the bench detection principle.

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Optimal design of a non-linear controller for anti-lock braking system

Cited by 54 publications

References 23 publications

Wheel Slip Control for Improving Traction-Ability and Energy Efficiency of a Personal Electric Vehicle

Wheel Slip Control for Improving Traction-Ability and Energy Efficiency of a Personal Electric Vehicle

Adaptive Fuzzy Sliding-Mode Control of Wheel Slide Protection Device for ER24PC Locomotive

Modelling for ABS Bench Detection Method

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