Design and Modeling of Adaptive Cruise Control System Using Petri Nets with Fault Tolerance Capabilities
Abstract
In automotive industry, driver assistance and active safety features are main areas of research. This thesis concentrates on designing one of the famous ADAS system feature called Adaptive cruise control. Feature development and analysis of various functionalities involved in the system control are done using Petri Nets. A background on the past and current ACC research is noted and taken as motivation. The idea is to implement the adaptive cruise control system in Petri net and analyze how to provide fault tolerance to the system. The system can be evaluated for various cases. The ACC technology implemented in different cars were compared and discussed. The interaction of the ACC module with other modules in the car is explained. The cruise system's algorithm in Petri net is used as the basis for developing Adaptive Cruise Control system's algorithm. The ACC system model is designed using Petri nets and various Petri net functionalities like place invariant, transition invariant and reachability tree of the model are analyzed. The results are verified using Matlab. Controllers are introduced for ideal cases and are implemented in Petri nets. Then the error cases are considered and fault tolerance techniques are carried out on the model to identify the fault places.
Degree
M.S.E.C.E.
Advisors
Li, Purdue University.
Subject Area
Computer Engineering|Electrical engineering
Off-Campus Purdue Users:
To access this dissertation, please log in to our
proxy server.