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Karl Iagnemma. Peters, Steven C. (Steven Conrad) Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering 2007-08-03T18:25:21Z 2007-08-03T18:25:21Z 2006 2006 http://hdl.handle.net/1721.1/38282 153289233 Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2006. Includes bibliographical references (leaves 114-118). Vehicle rollover represents a significant percentage of single-vehicle accidents and accounts for over 9,000 fatalities and over 200,000 non-fatal injuries each year. Previous automotive research has studied ways for detecting and mitigating rollover on flat ground at high speed, and robotics research has studied the rollover stability of robots on rough terrain at low speed. Accident statistics show, however, that over 80% of rollovers occur when a vehicle departs the roadway and encounters sloped and rough terrain at high speed. This thesis investigates the stability limits imposed by off-road terrain conditions and techniques for measuring vehicle stability in the presence of off-road terrain factors. An analysis of the effects of terrain slope, roughness, and deformability on vehicle rollover stability in road departure scenarios is presented. A simple model that captures the first-order effects of each of these terrain features is presented and used to compare the relative danger posed by each factor. A new stability measure is developed that is valid in off-road conditions, which include sloped, rough, and deformable terrain. The measure is based on the distribution of wheel-terrain contact forces and is measurable with practical sensors. (cont.) The measure is compared to existing stability measures and is able to detect wheel lift-off with greater accuracy in off-road conditions. The measure is experimentally validated with wheel lift-off detection as well. An uncertainty analysis of the measure is presented that assesses the relative importance of each sensor and parameter in the measure. by Steven C. Peters. S.M. 160 leaves eng Massachusetts Institute of Technology M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Mechanical Engineering. Modeling, analysis, and measurement of passenger vehicle stability Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="a4428f01-ab3a-449e-80dd-2fb42d36f347"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Modeling, analysis, and measurement of passenger vehicle stability</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2006</PublicationDate> <Authors> <Author> <DisplayName>Peters, Steven C. (Steven Conrad)</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Mechanical Engineering.</Keyword> <Abstract>Vehicle rollover represents a significant percentage of single-vehicle accidents and accounts for over 9,000 fatalities and over 200,000 non-fatal injuries each year. Previous automotive research has studied ways for detecting and mitigating rollover on flat ground at high speed, and robotics research has studied the rollover stability of robots on rough terrain at low speed. Accident statistics show, however, that over 80% of rollovers occur when a vehicle departs the roadway and encounters sloped and rough terrain at high speed. This thesis investigates the stability limits imposed by off-road terrain conditions and techniques for measuring vehicle stability in the presence of off-road terrain factors. An analysis of the effects of terrain slope, roughness, and deformability on vehicle rollover stability in road departure scenarios is presented. A simple model that captures the first-order effects of each of these terrain features is presented and used to compare the relative danger posed by each factor. A new stability measure is developed that is valid in off-road conditions, which include sloped, rough, and deformable terrain. The measure is based on the distribution of wheel-terrain contact forces and is measurable with practical sensors.</Abstract> <Abstract>(cont.) The measure is compared to existing stability measures and is able to detect wheel lift-off with greater accuracy in off-road conditions. The measure is experimentally validated with wheel lift-off detection as well. An uncertainty analysis of the measure is presented that assesses the relative importance of each sensor and parameter in the measure.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>