Engineers have proposed a coordinated control architecture for motion management in advanced driver assistance systems (ADAS) to increase safety and comfort across all vehicles, regardless of ADAS specifics.
They published their proposal in IEEE/CAA Journal of Automatica Sinica, a joint publication of the IEEE and the Chinese Association of Automation.
"The modern automobile is a complex system of systems. How the functionalities of advanced driver assistance are implemented and coordinated across the systems of the vehicle is generally not made available to the wider research community by the developers and manufactures," wrote Tzu-Chi Lin, a research engineer with the Warwick Manufacturing Group in the United Kingdom, and an author on the paper. "This paper seeks to begin filling this gap by assembling open source physics models of the vehicle dynamics and ADAS command models."
One of the most common ADAS alerts drivers when the car drifts out of their lane, or helps a driver intentionally change lanes.
"Each of the various types of ADAS systems in service today generally provide a unique feature for the user that is implemented through additional control of one of the vehicle's systems, e.g. braking or steering," Lin wrote. "ADAS systems must not be regarded as a substitute for drivers but rather as a co-driver, even if direct involvement in some of the driving tasks is not required."
With that in mind, Lin and his team integrated physics models of vehicle dynamics and ADAS command models. They ran simulations on this combined information, and analyzed how control from different, independent vehicle systems might influence the vehicle trajectory as it changes lanes.
They found that the steering system caused the simulated vehicle to undershoot, while the brake system overshot.
"On the other hand, the 'coordinated control' strategy successfully damped out the deviation errors, and gave much greater precision in following the intended trajectory," Lin wrote.
The researchers will continue to explore the system of systems control architecture to better develop coordinated control in ADAS. They will also examine how new systems interfere with existing systems to fully understand control performance and stability.
Engineers from the Wolfson School of Mechanical, Electrical and Manufacturing Engineering of Loughborough University and systems engineering of Jaguar Land Rover contributed to this research. The work was supported by the Programme for Simulation Innovation at Loughborough University.
Fulltext of the paper is available:
IEEE/CAA Journal of Automatica Sinica (JAS) is a joint publication of the Institute of Electrical and Electronics Engineers (IEEE) and the Chinese Association of Automation. The objective of JAS is high quality and rapid publication of articles, with a strong focus on new trends, original theoretical and experimental research and developments, emerging technologies, and industrial standards in automation. The coverage of JAS includes but is not limited to: Automatic control,Artificial intelligence and intelligent control, Systems theory and engineering, Pattern recognition and intelligent systems, Automation engineering and applications, Information processing and information systems, Network based automation, Robotics, Computer-aided technologies for automation systems, Sensing and measurement, Navigation, guidance, and control. JAS is indexed by IEEE, ESCI, EI, Inspec, Scopus, SCImago, CSCD, CNKI. We are pleased to announce the new 2016 CiteScore (released by Elsevier) is 2.16, ranking 26% among 211 publications in Control and System Engineering category.
To learn more about JAS, please visit: http://ieeexplore.