Comparison of Three Control Methods for an Autonomous Vehicle

被引:1
|
作者
Deshpande, Anup [1 ]
Mathur, Kovid [1 ]
Hall, Ernest [1 ]
机构
[1] Univ Cincinnati, Ctr Robot Res, Cincinnati, OH 45221 USA
关键词
Intelligent autonomous vehicle; electrical control; hydraulic control; mechanical control; human interface; CHALLENGE;
D O I
10.1117/12.838897
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The desirability and challenge of developing a completely autonomous vehicle and the rising need for more efficient use of energy by automobiles motivate the search for an optimum solution to computer control of energy efficient vehicles. The purpose of this paper is to compare three control methods - mechanical, hydraulic and electric that have been used to convert an experimental all terrain vehicle to drive by wire which would eventually act as a test bed for conducting research on various technologies for autonomous operation. Computer control of basic operations in a vehicle namely steering, braking and speed control have been implemented and will be described in this paper. The output from a 3 axis motion controller is used for this purpose. The motion controller is interfaced with a software program and WSDK (Windows Servo Design Kit) serves as an intermediate tuning layer for tuning and parameter settings in autonomous operation. The software program is developed in C++ and the voltage signal sent to the motion controller can be varied through the control program for desired results in controlling the steering motor, activating the hydraulic brakes and varying the vehicle's speed. The vehicle has been tested for its basic functionality which includes testing of street legal operations and also a 1000 mile test while running in a hybrid mode. The vehicle has also been tested for control when it is interfaced with devices such as a keyboard, joystick and sensors under full autonomous operation. The vehicle is currently being tested in various safety studies and is being used as a test bed for experiments in control courses and research studies. The significance of this research is in providing a greater understanding of conventional driving controls and the possibility of improving automobile safety skills.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] An autonomous vehicle driving control system
    Bin Isa, K
    Bin Jantan, A
    INTERNATIONAL JOURNAL OF ENGINEERING EDUCATION, 2005, 21 (05) : 855 - 866
  • [32] The future of autonomous underwater vehicle control
    Uchihori, Hiroshi
    Advanced Control for Applications: Engineering and Industrial Systems, 2021, 3 (03):
  • [33] Autonomous vehicle control at the limits of handling
    Kritayakirana, K. (krisadak@alumni.stanford.edu), 1600, Inderscience Enterprises Ltd., Switzerland (10):
  • [34] Pose determination for autonomous vehicle control
    Bouzid, Ahmed
    Vásárhelyi, József
    Bartók, Roland
    Czap, László
    Lecture Notes in Mechanical Engineering, 2017, PartF12 : 333 - 339
  • [35] Control of the MARES Autonomous Underwater Vehicle
    Ferreira, Bruno
    Pinto, Miguel
    Matos, Anibal
    Cruz, Nuno
    OCEANS 2009, VOLS 1-3, 2009, : 1324 - 1333
  • [36] Proposal of an Autonomous Vehicle Control Architecture
    Pozna, Claudiu Radu
    Antonya, Csaba
    INES 2021: 2021 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENGINEERING SYSTEMS, 2021,
  • [37] DESIGN AND CONTROL OF AN OMNIBOT AUTONOMOUS VEHICLE
    Bemis, Steven
    Riess, Brian
    Nokleby, Scott
    DETC 2008: 32ND ANNUAL MECHANISMS AND ROBOTICS CONFERENCE, VOL. 2, PTS A & B, 2009, : 877 - 884
  • [38] Buoyancy control for an autonomous underwater vehicle
    Love, T
    Toal, D
    Flanagan, C
    GUIDANCE AND CONTROL OF UNDERWATER VEHICLES 2003, 2003, : 199 - 204
  • [39] PLANNING AND REASONING FOR AUTONOMOUS VEHICLE CONTROL
    MITCHELL, JSB
    PAYTON, DW
    KEIRSEY, DM
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 1987, 2 (02) : 129 - 198
  • [40] Comparison of three control methods for active engine mount
    Ding, Shiwen
    Shi, Wenku
    Qu, Wei
    Liang, Tianye
    Qiche Gongcheng/Automotive Engineering, 2010, 32 (03): : 248 - 253