Model-based predictive motion cueing strategy for vehicle driving simulators

被引：76

作者：

Dagdelen, Mehmet ^{[1
]}

Reymond, Gilles ^{[1
]}

Kemeny, Andras ^{[1
]}

Bordier, Marc ^{[2
]}

Maizi, Nadia ^{[2
]}

机构：

[1] Ctr Tech Simulat, F-78288 Guyancourt, France

[2] Ctr Math Appl, F-06902 Sophia Antipolis, France

来源：

CONTROL ENGINEERING PRACTICE | 2009年 / 17卷 / 09期

关键词：

Human factors; Human-centered design; Predictive control; Robot control; Vehicle simulators; MOVING FLIGHT SIMULATORS; DYNAMIC-SYSTEMS; VISUAL SCENE; SELF-MOTION; ACCELERATION; PERCEPTION; TIME;

D O I：

10.1016/j.conengprac.2009.03.002

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Motion-based driving simulators are designed to render accelerations perceived as realistic, while keeping the motion system within its physical limits. These objectives are generally contradictory, and consequently motion control strategies are difficult to customize for different simulator configurations. In this paper, a novel approach is presented for the design of motion rendering strategies, using the model-based predictive control theory. Compared to traditional cueing techniques, actuator constraints are always respected, and the use of motion workspace is maximized during simulations. Models of human motion perception can be integrated to reduce sensory conflicts. A practical implementation on a high-performance automotive driving simulator is presented. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：995 / 1003

页数：9

共 42 条

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