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Development of a Real-Time Control System Architecture for Automated Steel Construction

Published

Author(s)

Kamel S. Saidi, Robert W. Bunch, Alan M. Lytle, Frederick M. Proctor

Abstract

The National Institute of Standards and Technology (NIST) is developing a real-time control system for a robotic crane (the NIST RoboCrane) that will perform automated structural steel pick-and-place operations. The control system architecture is based on the NIST Real-time Control Systems (RCS) reference model, which defines a system development methodology and a hierarchical control architecture in which system tasks and associated information are decomposed and organized into more easily manageable components or subsets. The task of picking and placing a structural steel beam was decomposed into multiple sub-task levels that must be performed in order to complete the pick-and-place operation. Tasks were decomposed from high-level operator input, such as Install Beam A down through the controller to the sensor and actuator level on the crane, at which, for example, voltages are computed and output to individual motors. Each level was organized into a series of control nodes each responsible for executing the sub-tasks at that given level of control. The control nodes share a common generic node model for sensor information processing, world modeling, and behavior generation. The control system development effort and its implementation on RoboCrane are presented in this paper.
Proceedings Title
International Symposium on Robotics and Automation in Construction | 23rd | | IAARC
Conference Dates
October 2-5, 2006
Conference Location
Tokyo, 1, JA
Conference Title
International Symposium on Robotics and Automation in Construction

Citation

Saidi, K. , Bunch, R. , Lytle, A. and Proctor, F. (2017), Development of a Real-Time Control System Architecture for Automated Steel Construction, International Symposium on Robotics and Automation in Construction | 23rd | | IAARC, Tokyo, 1, JA (Accessed December 8, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created February 19, 2017