Bond graph model-based evaluation of a sliding mode controller for a combined regenerative and antilock braking system

被引:38
|
作者
Bera, T. K. [1 ]
Bhattacharya, K. [1 ]
Samantaray, A. K. [1 ]
机构
[1] Indian Inst Technol, Dept Mech Engn, Kharagpur 721302, W Bengal, India
关键词
vehicle dynamics; bond graph; regenerative braking; antilock braking system; sliding mode control; HYBRID-ELECTRIC VEHICLE; SIMULATION;
D O I
10.1177/2041304110394558
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Combined regenerative and antilock braking in electric/hybrid-electric vehicles provides higher safety in addition to an energy storing capability. Development of a control law for this type of braking system is a challenging task. The antilock braking system (ABS) uses a control strategy to maintain the wheel slip within a predefined range. A sliding mode controller (SMC) for ABS is developed to maintain the optimal slip value. The braking of the vehicle, performed by using both regenerative and antilock braking, is based on an algorithm that decides how to distribute the braking force between the regenerative braking and the antilock braking in emergency/panic braking situations as well as in normal city driving conditions. Detailed bond graph models of a quarter car and four-wheeled vehicles are used in this article to implement and test the control laws. It is found that with combined regenerative and antilock braking, the vehicle's safety increases (in terms of stopping distance and manoeuvrability) and some amount of kinetic energy can be recovered and stored in the regenerative battery pack. The passenger comfort is improved when a sliding mode ABS controller is used in place of a standard ABS controller for the mechanical braking part. Moreover, the influence of load transfer on the wheels during braking was evaluated on a four-wheeled vehicle model.
引用
收藏
页码:918 / 934
页数:17
相关论文
共 50 条
  • [31] Evaluation of antilock braking system with an integrated model of full vehicle system dynamics
    Bera, T. K.
    Bhattacharya, K.
    Samantaray, A. K.
    SIMULATION MODELLING PRACTICE AND THEORY, 2011, 19 (10) : 2131 - 2150
  • [32] A model-based adaptive sliding controller
    Lee, TH
    Xu, JX
    Wang, M
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 1996, 27 (01) : 129 - 140
  • [33] Sliding mode control of aircraft braking system based on LuGre model
    Xie, L.-L. (xielili@nwpu.edu.cn), 1600, Huazhong University of Science and Technology (41):
  • [34] Comparison of Adaptive Fuzzf Sliding-Mode Pulse Width Modulation Control With Common Model-Based Nonlinear Controllers for Slip Control in Antilock Braking Systems
    Mousavi, Alireza
    Davaie-Markazi, Amir H.
    Masoudi, Saleh
    JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2018, 140 (01):
  • [35] Neuro-fuzzy control of antilock braking system using sliding mode incremental learning algorithm
    Topalov, Andon V.
    Oniz, Yesim
    Kayacan, Erdal
    Kaynak, Okyay
    NEUROCOMPUTING, 2011, 74 (11) : 1883 - 1893
  • [36] INTELLIGENT BRAKING SYSTEM USING FUZZY LOGIC AND SLIDING MODE CONTROLLER
    Naderi, Peyman
    Naderipour, Amir R.
    Mirsalim, Mojtaba
    Fard, Mohammad A.
    CONTROL AND INTELLIGENT SYSTEMS, 2010, 38 (04) : 236 - 244
  • [37] Bond graph model-based system mode identification and mode-dependent fault thresholds for hybrid systems
    Borutzky, W.
    MATHEMATICAL AND COMPUTER MODELLING OF DYNAMICAL SYSTEMS, 2014, 20 (06) : 584 - 615
  • [38] A Fuzzy Sliding-Mode Control for Regenerative Braking System of Electric Vehicle
    Mei, Peng
    Yang, Shichun
    Xu, Bin
    Sun, Kangkang
    2021 7TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS (ICCAR), 2021, : 397 - 401
  • [39] Adaptive Neuro-Fuzzy Control with Sliding Mode Learning Algorithm: Application to Antilock Braking System
    Topalov, Andon V.
    Kayacan, Erdal
    Oniz, Yesim
    Kaynak, Okyay
    ASCC: 2009 7TH ASIAN CONTROL CONFERENCE, VOLS 1-3, 2009, : 784 - 789
  • [40] Adaptive Backstepping Control of Antilock Braking System Based on LuGre Model
    El-bakkouri, Jamal
    Ouadi, Hamid
    Saad, Abdallah
    IECON 2021 - 47TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2021,