Print Email Facebook Twitter Estimation of vehicle handling states Title Estimation of vehicle handling states Author Jain, S. Contributor Holweg, E.G.M. (mentor) Faculty Mechanical, Maritime and Materials Engineering Department Precision and Microsystems Engineering Programme M.Sc Mechanical Engineering Date 2014-10-28 Abstract With the ever increasing demand of cars, safety is of prime concern to automobile manufactures across the world. Companies strive for the vision of "Zero accidents" through high quality and innovative products that reduce the frequency of accidents as well as their consequences. The auto industry has been exerting a myriad of state-of-the-art technologies to make automotive safety systems that reduce driver’s strain and fatigue and assist safe driving. Advanced Driver Assistance Systems (ADAS) are technologies that capture the vehicle’s surrounding environment and assist the driver by keeping him informed about the current vehicle state, and if necessary intervene to prevent an impending danger, while the driver is in control of the vehicle at all times. Vehicle Dynamics Control (VDC) systems enhance the handling and safety of the car by assisting the driver in maintaining control of the vehicle. However, these features are limited by lack of knowledge of the vehicle states. Some of the vehicle states like sideslip angle are not measurable due to technical or economic reasons. Therefore, these must be estimated by using the available measurements. Most of the existing sideslip angle estimators are based on lateral acceleration, but these estimators have estimation errors arising from roll and pitch dynamics. The purpose of this study is to develop an algorithm that estimates the vehicle sideslip angle and tire cornering stiffnesses using tire force measurements. This is achieved by implementing a model based deterministic approach. Kalman filters and their extensions used for state and parameter estimation are investigated. Finally, the developed system is implemented using a multibody vehicle simulator and tested for different maneuvers. Subject vehicle lateral dynamicssideslip angletire cornering stiffnessunscented kalman filterload sensing bearings To reference this document use: http://resolver.tudelft.nl/uuid:0382c6c1-9fc9-4f98-b58b-07dcc3b97416 Part of collection Student theses Document type master thesis Rights (c) 2014 Jain, S. Files PDF M.Sc_Thesis_Report_Shelav ... 248627.pdf 2.91 MB Close viewer /islandora/object/uuid:0382c6c1-9fc9-4f98-b58b-07dcc3b97416/datastream/OBJ/view