PaTAVTT: A Hardware-in-the-Loop Scaled Platform for Testing Autonomous Vehicle Trajectory Tracking
Author(s) -
Zhigang Xu,
Mingliang Wang,
Zhang Feng-zhi,
Sheng Jin,
Jin Zhang,
Xiangmo Zhao
Publication year - 2017
Publication title -
journal of advanced transportation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.577
H-Index - 46
eISSN - 2042-3195
pISSN - 0197-6729
DOI - 10.1155/2017/9203251
Subject(s) - trajectory , adaptability , hardware in the loop simulation , tracking (education) , simulation , loop (graph theory) , process (computing) , transmission (telecommunications) , engineering , vehicle dynamics , computer science , control engineering , real time computing , automotive engineering , psychology , ecology , pedagogy , physics , mathematics , electrical engineering , combinatorics , astronomy , biology , operating system
With the advent of autonomous vehicles, in particular its adaptability to harsh conditions, the research and development of autonomous vehicles attract significant attention by not only academia but also practitioners. Due to the high risk, high cost, and difficulty to test autonomous vehicles under harsh conditions, the hardware-in-the-loop (HIL) scaled platform has been proposed as it is a safe, inexpensive, and effective test method. This platform system consists of scaled autonomous vehicle, scaled roadway, monitoring center, transmission device, positioning device, and computers. This paper uses a case of the development process of tracking control for high-speed U-turn to build the tracking control function. Further, a simplified vehicle dynamics model and a trajectory tracking algorithm have been considered to build the simulation test. The experiment results demonstrate the effectiveness of the HIL scaled platform
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom