Full metadata
Title
Non-overshooting Model Predictive Control (MPC) Design for Vehicle Lateral Stability
Description
Advanced driving assistance systems (ADAS) are one of the latest automotive technologies for improving vehicle safety. An efficient method to ensure vehicle safety is to limit vehicle states always within a predefined stability region. Hence, this thesis aims at designing a model predictive control (MPC) with non-overshooting constraints that always confine vehicle states in a predefined lateral stability region. To consider the feasibility and stability of MPC, terminal cost and constraints are investigated to guarantee the stability and recursive feasibility of the proposed non-overshooting MPC. The proposed non-overshooting MPC is first verified by using numerical examples of linear and nonlinear systems. Finally, the non-overshooting MPC is applied to guarantee vehicle lateral stability based on a nonlinear vehicle model for a cornering maneuver. The simulation results are presented and discussed through co-simulation of CarSim® and MATLAB/Simulink.
Date Created
2023
Contributors
- Sudhakhar, Monish Dev (Author)
- Chen, Yan (Thesis advisor)
- Ren, Yi (Committee member)
- Xu, Zhe (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
77 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.2.N.187466
Level of coding
minimal
Cataloging Standards
Note
Partial requirement for: M.S., Arizona State University, 2023
Field of study: Mechanical Engineering
System Created
- 2023-06-07 11:18:15
System Modified
- 2023-06-07 11:18:20
- 1 year 5 months ago
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