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anti-lock braking system

The Experts below are selected from a list of 3834 Experts worldwide ranked by ideXlab platform

Saša S. Nikolić – 1st expert on this subject based on the ideXlab platform

  • Quasi-Sliding Mode Control With Orthogonal Endocrine Neural Network-Based Estimator Applied in anti-lock braking system
    IEEE ASME Transactions on Mechatronics, 2016
    Co-Authors: Staniša Lj. Perić, Dragan S. Antić, Miroslav B. Milovanović, Darko B. Mitić, Marko T. Milojković, Saša S. Nikolić

    Abstract:

    This paper presents a new control method for nonlinear discrete-time systems, described by an input-output model which is based on a combination of quasi-sliding mode and neural networks. First, an input-output discrete-time quasi-sliding mode control with inserted digital integrator, which additionally reduces chattering, is described. Due to the presence of various nonlinearities and uncertainties, the model of the controlled object cannot be described adequately enough. These imperfections in modeling cause a modeling error, resulting in rather poor system performances. In order to increase the steady-state accuracy, an estimated value of the modeling error in the next sampling period is implemented into the control law. For this purpose, we propose two improved structures of the neural networks by implementing the generalized quasi-orthogonal functions of Legendre type. These functions have already been proven as an effective tool for the signal approximation, as well as for modeling, identification, analysis, synthesis, and simulation of dynamical systems. Finally, the proposed method is verified through digital simulations and real-time experiments on an anti-lock braking system as a representative of the considered class of mechatronic systems, in a laboratory environment. A detailed analysis of the obtained results confirms the effectiveness of the proposed approach in terms of better steady-state performances.

  • A NEW APPROACH TO THE SLIDING MODE CONTROL DESIGN: ANTI–LOCK braking system AS A CASE STUDY
    Journal of Electrical Engineering-elektrotechnicky Casopis, 2014
    Co-Authors: Staniša Lj. Perie, Darko Mitic, Dragan Antić, Marko Milojković, Vlastimir Nikolić, Saša S. Nikolić

    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 Muntz-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 c of anti-lock braking system. K e y w o r d s: sliding mode control; orthogonal model; controllable canonical form; anti-lock braking system

  • Digital Sliding Mode Control of anti-lock braking system
    Advances in Electrical and Computer Engineering, 2013
    Co-Authors: Darko Mitic, S. Lj. Peric, Dragan Antić, Zoran Jovanovic, Marko Milojković, Saša S. Nikolić

    Abstract:

    The control of anti-lock braking system is a great challenge, because of the nonlinear and complex characteristics of braking dynamics, unknown parameters of vehicle environment and sy …

Chen Lv – 2nd expert on this subject based on the ideXlab platform

  • Intelligent Vehicles Symposium – Research on control strategy of electric-hydraulic hybrid anti-lock braking system of an electric passenger car
    2015 IEEE Intelligent Vehicles Symposium (IV), 2015
    Co-Authors: Zhongshi Zhang, Junzhi Zhang, Chen Lv

    Abstract:

    Equipped with the regenerative braking system, electric vehicle coordinates friction braking and regenerative braking appropriately in normal braking conditions and activates anti-lock braking system (ABS) in emergency braking conditions. This paper mainly focuses on the control strategy of electric-hydraulic blended brake for ABS control of an electric passenger car. According to the variation of the adhesion coefficient under different roads, the maximum adhesion force and the optimal slip ratio are calculated in real-time. Then, the control strategy of electric-hydraulic hybrid ABS, in which regenerative braking and hydraulic braking are coordinated in order to obtain the maximum available road adhesion and guarantee vehicle’s braking stability, is proposed. Based on the control strategy developed, simulations and test-bench experiments are carried out. Simulation and test results indicate that braking stability and control performance of vehicle on different roads are guaranteed by the proposed hybrid ABS control, validating the feasibility and the effectiveness of the algorithms. Compared with conventional hydraulic ABS, the electric-hydraulic hybrid ABS, ensuring better braking performance on various road surfaces, provides a good solution to active safety control of EVs.

  • Research on control strategy of electric-hydraulic hybrid anti-lock braking system of an electric passenger car
    2015 IEEE Intelligent Vehicles Symposium (IV), 2015
    Co-Authors: Zhongshi Zhang, Junzhi Zhang, Chen Lv

    Abstract:

    Equipped with the regenerative braking system, electric vehicle coordinates friction braking and regenerative braking appropriately in normal braking conditions and activates anti-lock braking system (ABS) in emergency braking conditions. This paper mainly focuses on the control strategy of electric-hydraulic blended brake for ABS control of an electric passenger car. According to the variation of the adhesion coefficient under different roads, the maximum adhesion force and the optimal slip ratio are calculated in real-time. Then, the control strategy of electric-hydraulic hybrid ABS, in which regenerative braking and hydraulic braking are coordinated in order to obtain the maximum available road adhesion and guarantee vehicle’s braking stability, is proposed. Based on the control strategy developed, simulations and test-bench experiments are carried out. Simulation and test results indicate that braking stability and control performance of vehicle on different roads are guaranteed by the proposed hybrid ABS control, validating the feasibility and the effectiveness of the algorithms. Compared with conventional hydraulic ABS, the electric-hydraulic hybrid ABS, ensuring better braking performance on various road surfaces, provides a good solution to active safety control of EVs.

Staniša Lj. Perić – 3rd expert on this subject based on the ideXlab platform

  • Quasi-Sliding Mode Control With Orthogonal Endocrine Neural Network-Based Estimator Applied in anti-lock braking system
    IEEE ASME Transactions on Mechatronics, 2016
    Co-Authors: Staniša Lj. Perić, Dragan S. Antić, Miroslav B. Milovanović, Darko B. Mitić, Marko T. Milojković, Saša S. Nikolić

    Abstract:

    This paper presents a new control method for nonlinear discrete-time systems, described by an input-output model which is based on a combination of quasi-sliding mode and neural networks. First, an input-output discrete-time quasi-sliding mode control with inserted digital integrator, which additionally reduces chattering, is described. Due to the presence of various nonlinearities and uncertainties, the model of the controlled object cannot be described adequately enough. These imperfections in modeling cause a modeling error, resulting in rather poor system performances. In order to increase the steady-state accuracy, an estimated value of the modeling error in the next sampling period is implemented into the control law. For this purpose, we propose two improved structures of the neural networks by implementing the generalized quasi-orthogonal functions of Legendre type. These functions have already been proven as an effective tool for the signal approximation, as well as for modeling, identification, analysis, synthesis, and simulation of dynamical systems. Finally, the proposed method is verified through digital simulations and real-time experiments on an anti-lock braking system as a representative of the considered class of mechatronic systems, in a laboratory environment. A detailed analysis of the obtained results confirms the effectiveness of the proposed approach in terms of better steady-state performances.

  • SACI – Fuzzy sliding mode control for anti-lock braking systems
    2012 7th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI), 2012
    Co-Authors: Darko Mitic, Dragan Antić, Marko Milojković, Staniša Lj. Perić, Saša S. Nikolić

    Abstract:

    A combination of two control methods, sliding mode and fuzzy, for the wheel slip control in anti-lock braking system, is presented in this paper. The fuzzy block is used to determine the values of key parameters important for establishing switching function dynamics. It is demonstrated, via performed experiments, that proposed control algorithm gives good system performances.