The Experts below are selected from a list of 3834 Experts worldwide ranked by ideXlab platform
Saša S. Nikolić - One of the best experts on this subject based on the ideXlab platform.
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Quasi-Sliding Mode Control With Orthogonal Endocrine Neural Network-Based Estimator Applied in anti-lock braking system
IEEE ASME Transactions on Mechatronics, 2016Co-Authors: Staniša Lj. Perić, Dragan S. Antić, Miroslav B. Milovanović, Darko B. Mitić, Marko T. Milojković, Saša S. NikolićAbstract: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.
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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-elektrotechnicky Casopis, 2014Co-Authors: Staniša Lj. Perie, Darko Mitic, Dragan Antić, Marko Milojković, Vlastimir Nikolić, Saša S. NikolićAbstract: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
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Digital Sliding Mode Control of anti-lock braking system
Advances in Electrical and Computer Engineering, 2013Co-Authors: Darko Mitic, S. Lj. Peric, Dragan Antić, Zoran Jovanovic, Marko Milojković, Saša S. NikolićAbstract: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 ...
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SACI - Fuzzy sliding mode control for anti-lock braking systems
2012 7th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI), 2012Co-Authors: Darko Mitic, Dragan Antić, Marko Milojković, Staniša Lj. Perić, Saša S. NikolićAbstract: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.
Chen Lv - One of the best experts on this subject based on the ideXlab platform.
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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), 2015Co-Authors: Zhongshi Zhang, Junzhi Zhang, Chen LvAbstract: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.
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Research on control strategy of electric-hydraulic hybrid anti-lock braking system of an electric passenger car
2015 IEEE Intelligent Vehicles Symposium (IV), 2015Co-Authors: Zhongshi Zhang, Junzhi Zhang, Chen LvAbstract: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 - One of the best experts on this subject based on the ideXlab platform.
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Quasi-Sliding Mode Control With Orthogonal Endocrine Neural Network-Based Estimator Applied in anti-lock braking system
IEEE ASME Transactions on Mechatronics, 2016Co-Authors: Staniša Lj. Perić, Dragan S. Antić, Miroslav B. Milovanović, Darko B. Mitić, Marko T. Milojković, Saša S. NikolićAbstract: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.
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SACI - Fuzzy sliding mode control for anti-lock braking systems
2012 7th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI), 2012Co-Authors: Darko Mitic, Dragan Antić, Marko Milojković, Staniša Lj. Perić, Saša S. NikolićAbstract: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.
S. B. Phadke - One of the best experts on this subject based on the ideXlab platform.
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Multiple sliding surface controller based on disturbance observer for anti-lock braking system
2016 IEEE 1st International Conference on Power Electronics Intelligent Control and Energy Systems (ICPEICES), 2016Co-Authors: Vivek Sharma, Pratik Chaudhari, P. D. Shendge, S. B. PhadkeAbstract:This paper is concerned about the wheel slip measurement of the anti-lock braking system (ABS). The wheel slip must follow the desired wheel slip; for this purpose multiple sliding surface controller (MSSC) based on disturbance observer (DO) is used. DO is integrated with sliding mode controller (SMC) to strengthen the overall performance of the system by estimating the lumped uncertainties that are present in the system. The performance of the suggested scheme is testified in MATLAB/simulink with experimental set up of ABS by considering different cases for tracking the slip ratio.
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Disturbance observer based sliding mode control for anti-lock braking system
2016 IEEE 1st International Conference on Power Electronics Intelligent Control and Energy Systems (ICPEICES), 2016Co-Authors: Pratik Chaudhari, P. D. Shendge, Vivek Sharma, S. B. PhadkeAbstract:This paper is concerned with the improvement of vehicle stability during braking. A disturbance observer (DO) in conjunction with sliding mode control (SMC) has been proposed for anti-lock braking system (ABS). DO is used to estimate and compensate the effect of uncertainty and disturbance from the system. The SMC provides robust control for the nonlinear ABS system to track the desired slip ratio. The objective of DO is to maintain the desired slip ratio for different runway surfaces and different runway transition i.e. change in slip ratio. The controller is verified using MATLAB/Simulink.
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Inertial delay control based Multiple Sliding Surface controller for anti-lock braking system with second order actuator
2015 International Conference on Industrial Instrumentation and Control (ICIC), 2015Co-Authors: Shikha Singh, Divyesh Ginoya, S. B. Phadke, P. D. ShendgeAbstract:In this paper multiple surface sliding mode controller is designed for non-linear anti-lock braking system to control the wheel slip at a desired value. A second order actuator dynamics is considered in series with the anti-lock braking system. An inertial delay control technique is employed to estimate the lumped disturbances. The stability of overall system is proved. The performance of the proposed scheme for slip ratio tracking is demonstrated by considering different cases in MATLAB/ Simulink.
Darko Mitic - One of the best experts on this subject based on the ideXlab platform.
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SLIDING MODE CONTROL OF anti-lock braking system: AN OVERVIEW
2020Co-Authors: Dragan Antić, Vlastimir Nikolić, Darko MiticAbstract:An anti-lock braking system control is a rather difficult problem due to its strongly nonlinear and uncertain characteristics. To overcome these difficulties, robust control methods should be employed such as a sliding mode control. The aim of this paper is to give a short overview of sliding mode control techniques implemented in the control of ABS. The most used control algorithms are applied to a quarter vehicle model to demonstrate the advantages of this control approach. Fast convergence and good performances of the designed controllers are verified through digital simulations and validated in real time applications using a laboratory experimental setup.
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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-elektrotechnicky Casopis, 2014Co-Authors: Staniša Lj. Perie, Darko Mitic, Dragan Antić, Marko Milojković, Vlastimir Nikolić, Saša S. NikolićAbstract: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
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Digital Sliding Mode Control of anti-lock braking system
Advances in Electrical and Computer Engineering, 2013Co-Authors: Darko Mitic, S. Lj. Peric, Dragan Antić, Zoran Jovanovic, Marko Milojković, Saša S. NikolićAbstract: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 ...
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SACI - Fuzzy sliding mode control for anti-lock braking systems
2012 7th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI), 2012Co-Authors: Darko Mitic, Dragan Antić, Marko Milojković, Staniša Lj. Perić, Saša S. NikolićAbstract: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.
