Model-based predictive anti-jerk control

被引:70
|
作者
Baumann, J [1 ]
Torkzadeh, DD
Ramstein, A
Kiencke, U
Schlegl, T
机构
[1] Univ Karlsruhe, Inst Ind Informat Technol, Karlsruhe, Germany
[2] Siemens VDO Automot AG, Regensburg, Germany
关键词
automotive control; torque control; state space models; root locus; observers; system identification; time varying systems;
D O I
10.1016/j.conengprac.2005.03.026
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Comfort is an increasingly important issue when buying a car. Modern diesel engines generate a high engine torque already at low engine speed, which may cause oscillations in the driveline of the vehicle. These oscillations are experienced as unpleasant jerking by the driver. The objective of this article is to present a model-based control concept that prevents the driveline from oscillating, a so-called anti-jerk control. A theoretical model of the driveline of a car will be presented, the parameters of which are identified by measured data. As a measure for the oscillations in the driveline, the difference between engine speed and wheel speed is used. A model-based predictive controller is designed with the help of the root locus technique. The controller concept is evaluated on a test car with a diesel engine. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码:259 / 266
页数:8
相关论文
共 50 条
  • [21] Anti-Jerk On-Ramp Merging Using Deep Reinforcement Learning
    Lin, Yuan
    McPhee, John
    Azad, Nasser L.
    2020 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2020, : 7 - 14
  • [22] Performance Improvement of a Vehicle Equipped with Active Aerodynamic Surfaces Using Anti-Jerk Preview Control Strategy
    Ahmad, Ejaz
    Youn, Iljoong
    SENSORS, 2022, 22 (20)
  • [23] Comparison of Anti-Jerk Controllers for Electric Vehicles With On-Board Motors
    Scamarcio, Alessandro
    Metzler, Mathias
    Gruber, Patrick
    De Pinto, Stefano
    Sorniotti, Aldo
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 69 (10) : 10681 - 10699
  • [24] Model-based predictive control of vehicle dynamics
    Department of Mechanical Engineering, University of Michigan, Ann Arbor, 2350 Hayward Street, Ann Arbor, MI 48109, United States
    不详
    不详
    不详
    不详
    Int. J. Veh. Auton. Syst., 2007, 1-2 (3-27):
  • [25] Model-based Predictive Force Control in Milling
    Stemmler, Sebastian
    Ay, Muzaffer
    Schwenzer, Max
    Abel, Dirk
    Bergs, Thomas
    2019 18TH EUROPEAN CONTROL CONFERENCE (ECC), 2019, : 4313 - 4318
  • [26] Observers in nonlinear model-based predictive control
    Kouvaritakis, B
    Wang, W
    Lee, YI
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2000, 10 (10) : 749 - 761
  • [27] Model-based Predictive Control for Hammerstein systems
    Bloemen, HHJ
    van den Boom, TJJ
    Verbruggen, HB
    PROCEEDINGS OF THE 39TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5, 2000, : 4963 - 4968
  • [28] Observers in nonlinear model-based predictive control
    Kouvaritakis, B.
    Wang, W.
    Lee, Y.I.
    2000, John Wiley & Sons Ltd, Chichester, United Kingdom (10)
  • [29] INDUSTRIAL APPLICATIONS OF MODEL-BASED PREDICTIVE CONTROL
    RICHALET, J
    AUTOMATICA, 1993, 29 (05) : 1251 - 1274
  • [30] Model-based predictive control of tunnel ventilation
    Zhao, Zheshen
    Yi, Zheng
    Tun, Hu
    Zhu, Mingyan
    Gu, Yongxing
    PROCEEDINGS OF THE NINTH IASTED INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND CONTROL, 2006, : 45 - +