Paper
25 January 1998 Evaluating a PID, pure pursuit, and weighted steering controller for an autonomous land vehicle
Arturo L. Rankin, Carl D. Crane III, David G. Armstrong II
Author Affiliations +
Proceedings Volume 3210, Mobile Robots XII; (1998) https://doi.org/10.1117/12.299554
Event: Intelligent Systems and Advanced Manufacturing, 1997, Pittsburgh, PA, United States
Abstract
Wright Laboratory, at Tyndall AFB, Florida, has contracted the University of Florida to develop autonomous navigation systems for a variety of robotic vehicles, capable of performing tasks associated with the location and removal of bombs and mines. One of the tasks involves surveying closed target ranges for unexploded buried munitions. Accuracy in path following is critical to the task. There are hundreds of acres that currently require surveying. The sites are typically divided into regions, where each mission can take up to 4.5 hours. These sites are usually surveyed along parallel rows. By improving the accuracy of path following, the distance between the rows can be increased to nearly the detection with of the ground penetrating sensors, resulting in increased acreage surveyed per mission. This paper evaluates a high-level PID and a pure pursuit steering controller. The controllers were combined into a weighted solution so that the desirable features of each controller is preserved. This strategy was demonstrated in simulation and implemented on a Navigation Test Vehicle. For a test path of varying curvature, the average lateral control error was 2 cm at a vehicle sped of 1.34 m/s.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Arturo L. Rankin, Carl D. Crane III, and David G. Armstrong II "Evaluating a PID, pure pursuit, and weighted steering controller for an autonomous land vehicle", Proc. SPIE 3210, Mobile Robots XII, (25 January 1998); https://doi.org/10.1117/12.299554
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Cited by 15 scholarly publications.
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KEYWORDS
Device simulation

Sensors

Detection and tracking algorithms

Error control coding

Navigation systems

Vehicle control

Robotics

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