Complexity reduction in motion cueing algorithm for the ULTIMATE driving simulator

被引：5
|
作者：
Munir, Sarmad [1 ]
Hovd, Morten [1 ]
Fang, Zhou [2 ]
Olaru, Sorin [3 ]
Kemeny, Andras [2 ]
机构：
[1] Norwegian Univ Sci & Technol, Engn Cybernet Dept, N-7491 Trondheim, Norway
[2] Virtual Real & Immers Simulat Ctr RENAULT, Paris, France
[3] Supelec, Automat Control Dept, 3 Rue Joliot Curie, F-91192 Gif Sur Yvette, France
来源：
IFAC PAPERSONLINE | 2017年 / 50卷 / 01期
关键词：
Motion cueing algorithm; Explicit model predictive control; Complexity reduction; Driving simulator; Contractive set; low complexity contractive sets;
D O I：
10.1016/j.ifacol.2017.08.2256
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The performance of a driving simulator depends on the efficiency of the embedded motion cueing algorithm. An explicit model predictive control was established recently as a pertinent design framework for the motion cueing algorithm. The complexity of the explicit solution increases manifold when the human vestibular model is considered. The present paper focuses on the complexity reduction of explicit solution using low complexity contractive sets for the motion cueing algorithm. The low-complexity explicit controller is formulated for the efficient control of the motion cueing system for the ULTIMATE driving simulator available in Renault. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：10729 / 10734
页数：6
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