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Future reference prediction in model predictive control based driving simulators

Mohammadi, Arash, Asadi, Houshyar, Mohamed, Shady, Nelson, Kyle and Nahavandi, Saeid 2016, Future reference prediction in model predictive control based driving simulators, in ACRA 2016 : Proceedings of the ARAA Australian Conference on Robotics and Automation, Australian Robotics and Automation Association, Brisbane, Qld..

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Title Future reference prediction in model predictive control based driving simulators
Author(s) Mohammadi, Arash
Asadi, HoushyarORCID iD for Asadi, Houshyar orcid.org/0000-0002-3620-8693
Mohamed, ShadyORCID iD for Mohamed, Shady orcid.org/0000-0002-8851-1635
Nelson, KyleORCID iD for Nelson, Kyle orcid.org/0000-0003-1956-5493
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Conference name Australian Conference on Robotics and Automation (2016 : Brisbane, Qld.)
Conference location Brisbane, Qld.
Conference dates 5-6 Dec 2016
Title of proceedings ACRA 2016 : Proceedings of the ARAA Australian Conference on Robotics and Automation
Publication date 2016
Total pages 8
Publisher Australian Robotics and Automation Association
Place of publication Brisbane, Qld.
Summary The goal of a driving simulator is to produce an environment for a driver similar to the real driving scenario. Motion cueing algorithms are used to produce a realistic motion while respecting the workspace limitations and motion simulator boundaries. Model Predictive Control has become popular recently for motion cueing. However, in this control method, the optimization is based on a predefined constant future input trajectory while it is not a practical assumption. In this research, a method is proposed to predict the future reference based on the finite history of input. This method does not require the position trajectory to follow a specific road. Simulation results show the effectiveness of the proposed model predictive control method in terms of realistic motion sensation for a driver.
Language eng
Field of Research 099999 Engineering not elsewhere classified
Socio Economic Objective 0 Not Applicable
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2016, ACRA
Persistent URL http://hdl.handle.net/10536/DRO/DU:30090974

Document type: Conference Paper
Collections: Centre for Intelligent Systems Research
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