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Hybrid dynamic simulation for performance optimization of legged mechanisms

Posted on:2012-08-17Degree:Ph.DType:Dissertation
University:The University of Texas at ArlingtonCandidate:Flickinger, Daniel MontralloFull Text:PDF
GTID:1458390011951665Subject:Engineering
Abstract/Summary:
Agile locomotion is needed for mobile robots to efficiently navigate challenging terrain. The ability of an agile legged mobile robot to abruptly change trajectory allows it to quickly react to obstacles and successfully operate in environments usually more suited for legged animals. The research presented herein aims to increase the agility and performance of legged robots.;Using hybrid dynamic simulation, novel methods are developed to model the interaction of a legged robot with the ground. In considering robot agility, an accurate model of the events that occur while in contact is needed. Methods are developed to model ground interaction where oblique angled impacts occur, and to address the well known issues with energy consistency when using rigid body models for dynamic systems.;The contact model in this work is investigated with three multibody benchmark cases. A cable driven single leg jumping robot is modeled to research agility. An optimization of the initial posture of the robot, and its effect on jumping performance and agility is presented. Configuration optimization during the stance phase of a non-periodic jumping motion is performed, utilizing the directional dynamic capability equations. This optimization maximizes the time the mechanism is in contact with the ground, minimizes actuation effort, and reduces the likelihood of slipping and stumbling.
Keywords/Search Tags:Legged, Dynamic, Optimization, Robot, Performance
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