Reducing trajectory tracking error of flexible mobile robots using command shaping with error-limiting constraints

Gerald Eaglin, Joshua Vaughan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The ability to track a trajectory without significant error is a vital requirement for mobile robots. Numerous methods have been proposed to mitigate tracking error. While these trajectorytracking methods are efficient for rigid systems, many excite unwanted vibration when applied to flexible systems, leading to tracking error. This paper analyzes a modification of input shaping, which has been primarily used to limit residual vibration for point-to-point motion of flexible systems. Standard input shaping is modified using error-limiting constraints to reduce transient tracking error for the duration of the system's motion. This method is simulated with trajectory inputs constructed using line segments and Catmull-Rom splines. Error-limiting commands are shown to improve both spatial and temporal tracking performance and can be made robust to modeling errors in natural frequency.

Original languageEnglish
Title of host publicationMechatronics; Estimation and Identification; Uncertain Systems and Robustness; Path Planning and Motion Control; Tracking Control Systems; Multi-Agent and Networked Systems; Manufacturing; Intelligent Transportation and Vehicles; Sensors and Actuators; Diagnostics and Detection; Unmanned, Ground and Surface Robotics; Motion and Vibration Control Applications
PublisherAmerican Society of Mechanical Engineers
ISBN (Electronic)9780791858288
DOIs
StatePublished - 2017
Externally publishedYes
EventASME 2017 Dynamic Systems and Control Conference, DSCC 2017 - Tysons, United States
Duration: Oct 11 2017Oct 13 2017

Publication series

NameASME 2017 Dynamic Systems and Control Conference, DSCC 2017
Volume2

Conference

ConferenceASME 2017 Dynamic Systems and Control Conference, DSCC 2017
Country/TerritoryUnited States
CityTysons
Period10/11/1710/13/17

Funding

The authors would like to thank the Louisiana Board of Regents and HiBot for funding this research.

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