Indiana University-Purdue University Indianapolis (IUPUI) / 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 di erent 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 veri ed 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.
| Identifer | oai:union.ndltd.org:IUPUI/oai:scholarworks.iupui.edu:1805/15936 |
| Date | January 2018 |
| Creators | Chandramohan, Nivethitha Amudha |
| Contributors | Li, Lingxi |
| Source Sets | Indiana University-Purdue University Indianapolis |
| Language | en_US |
| Detected Language | English |
| Type | Thesis |
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