Path Finding Autonomous Car, Designed For Room Mapping
Student thesis: Master thesis (including HD thesis)
- Thore Svejgaard Wienike
- Kristian Borup Pedersen
This project deals with the design and construction of an autonomous
car able to video map an unknown room. The main issues are
analysis of the optimal way to dimension and map a room, design and
construction of the car, and designing a controller for the car.
The analysis is based on finding the best suited robot for mapping
the room, and how to optimize the use of a spy cam in accordance to
making a complete video map of the room.
The car is designed to weight less that $500~g$ and to be able to
estimate the dimensions of the room. In the design of the car a tilting
device for the camera has been made to get full use of the cameras
vertical view angle.
Two controllers for the car have been designed. One model-based and one nonmodel-based.
Both use the classic control theory, but two different design methods have
been used. Root-Locus for the model-based and Ziegler-Nichols for the
nonmodel-based controller. Their performances have been compared and
the nonmodel-based controller had the best performance of the two.
The nonmodel-based controller can only be used for simulations though,
while the model based controller can be used for implementation.
Language | English |
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Publication date | 2007 |
Publishing institution | Institut for Elektroniske Systemer |
Keywords | Autonom, Kortlægning |
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