Model-Based Control of Three Degrees of Freedom Robotic Bulldozing

Author:

Olsen Scott G.1,Bone Gary M.1

Affiliation:

1. Department of Mechanical Engineering, McMaster University, Hamilton, ON, L8S 4L7, Canada e-mail:

Abstract

This brief paper investigates the control of a robotic bulldozing operation. Optimal blade position control laws were designed based on a hybrid dynamic model to maximize the predicted material removal rate of the bulldozing process. Experiments were conducted with a scaled-down robotic bulldozing system. The control laws were implemented with various tuning values. As a comparison, a rule-based blade control algorithm was also designed and implemented. The experimental results with the best optimal controller demonstrated a 33% increase in the average material removal rate compared to the rule-based controller.

Publisher

ASME International

Subject

Computer Science Applications,Mechanical Engineering,Instrumentation,Information Systems,Control and Systems Engineering

Reference9 articles.

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3. Parker, C. A. C., Zhang, H., and Kube, C. R., 2003, “Blind Bulldozing: Multiple Robot Nest Construction,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robotics and Systems, Las Vegas, NV, Oct., pp. 2010–2015.

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