Title page for ETD etd-05032005-150456


Type of Document Master's Thesis
Author Grefe, William Kevin
Author's Email Address grefew@vt.edu
URN etd-05032005-150456
Title Integrating Collision Avoidance, Lane Keeping, and Cruise Control With an Optimal Controller and Fuzzy Controller
Degree Master of Science
Department Electrical and Computer Engineering
Advisory Committee
Advisor Name Title
Kachroo, Pushkin Committee Chair
Ramu, Krishnan Committee Member
Stilwell, Daniel J. Committee Member
Keywords
  • Collision Avoidance
  • Fuzzy Control
  • Optimal control
  • Smart Vehicles
  • Autonomous
Date of Defense 2005-04-29
Availability unrestricted
Abstract
This thesis presents collision avoidance integrated with lane keeping and adaptive cruise control for a car. Collision avoidance is the ability to avoid obstacles that are in the vehicle’s path, without causing damage to the obstacle or car. There are three types of collision avoidance controllers, passive, active, and semi-active. This thesis is designed using active collision avoidance controllers.

There are two controllers developed for collision avoidance in this paper. They are an optimal controller and a fuzzy controller. The optimal vehicle trajectory, which maximizes the distance to an obstacle and changes lanes, is derived. The optimal collision avoidance controller is a closed loop controller; with the decisions based on the current state. The fuzzy controller makes decisions based on the system rules. A simulation environment was created to compare these two controllers as viable solutions for collision avoidance.

The environment uses MATLAB/Simulink for simulation of the vehicle as well as the optimal and fuzzy controllers. The simulation incorporates system blocks of the kinematics of a car, navigation, states, control law, and velocity controller. Once the controllers are fully developed and tested in the simulation environment, they are implemented and tested on the platform vehicle. This verifies the real world performance of the controllers.

The platform vehicle is a modified radio controlled car. This car is completely autonomous. The car has onboard sensors that allow it to follow a white piece of tape as well as detect obstacles.

Files
  Filename       Size       Approximate Download Time (Hours:Minutes:Seconds) 
 
 28.8 Modem   56K Modem   ISDN (64 Kb)   ISDN (128 Kb)   Higher-speed Access 
  Collision_Avoidance.pdf 1.45 Mb 00:06:43 00:03:27 00:03:01 00:01:30 00:00:07
  Matlab.zip 1.83 Mb 00:08:28 00:04:21 00:03:48 00:01:54 00:00:09

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