Hostname: page-component-78c5997874-m6dg7 Total loading time: 0 Render date: 2024-11-16T13:22:30.176Z Has data issue: false hasContentIssue false
  • English
  • Français

A discrete-time virtual passive control algorithm for large space systems

Published online by Cambridge University Press:  09 March 2009

Gordon K. F. Lee  and
Eric Clark
Gordon K. F. Lee
Affiliation:
Mars Mission Research Center, North Carolina State University, Raleigh, NC 27695–7910 (USA)
Eric Clark
Affiliation:
Mars Mission Research Center, North Carolina State University, Raleigh, NC 27695–7910 (USA)
Get access Rights & Permissions [Opens in a new window]

Summary

The virtual passive control approach has recently been shown to be an effective technique for robust compensation of linear as well as nonlinear systems, when the system is open-loop stable and behaves as a block second-order plant. Mechanical systems as well as current space structure designs possess this property whereby inertia, damping and stiffness parameters characterize the dynamics.

Implementation of such controllers using digital systems may lead to instability, however, unless discretization issues are addressed. This paper presents a discrete-time representation of the Virtual Passive Approach and develops the robust controller structure for linear systems. The algorithm is then applied to a model of an actual experimental testbed; the test article is a ten-bay truss structure located at NASA Langley's Spacecraft Dynamics Branch. Results illustrate the robustness properties of the algorithm and expose issues which need to be addressed in future research activities.

Keywords

Control algorithmVirtual passive approachSpace systems
Type
Articles
Information
Robotica , Volume 12 , Issue 6 , November 1994 , pp. 513 - 519
Copyright
Copyright © Cambridge University Press 1994

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.D, D., (ed.), Handbook of Quality Management (Gower, Aldershot, UK, 1990).Google Scholar
2.Taguchi, G., Elsayed, E.A. and Hsiang, T.C., Quality Engineering in Production Systems (McGraw-Hill, Singapore, 1989).Google Scholar
3.Pignatiello, J.J. Jr and Ramberg, J.S., “Top Ten Triumphs and Tragedies of Genichi Taguchi” Quality Engineering 4(2), 211–225 (1991).CrossRefGoogle Scholar
4.Ross, P.J., Taguchi Techniques for Quality Engineering (McGraw-Hill, New York, USA, 1988).Google Scholar
5.Logothetis, N., Managing for Total Quality (The Manufacluring Practitioner Series, Prentice Hall, U.K., 1992).Google Scholar
6.Luo, D.Z., “Effects of Outside Diameter, Wall Thickness and Bend Radius on Ovality of Nylon Tube During Bending Operation” Int J Pressure Vessels and Piping 52, 145–148 (1992).CrossRefGoogle Scholar
7.Pham, D.T. and Dissanayake, M.W.M.G “A vibratory sensor for locating parts” Robotica 10, Part 4, 289–302 (1992).CrossRefGoogle Scholar
8.Grove, D.M. and Davis, T.P., Engineering Quality and Experimental Design (Longman Scientific and Technical, New York, 1992).Google Scholar