Robust Control Design and Analysis Using SCILAB for a Mass-Spring-Damper System
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32870
Robust Control Design and Analysis Using SCILAB for a Mass-Spring-Damper System

Authors: Yoonsoo Kim


This paper introduces an open-source software package SCILAB [1], an alternative of MATLAB [2], which can be used for robust control design and analysis of a typical mass-spring-damper (MSD) system. Using the previously published ideas in [3,4], this popular mechanical system is considered to provide another example of usefulness of SCILAB for advanced control design.

Keywords: Robust Control, SCILAB, Mass-Spring-Damper(MSD).

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 3923


[1] Robust Control and Design using SCILAB, in Proc.2nd International Conference on Mechatronics and Applied Mechanics, Hong Kong, December 6~7, 2012.
[2] SCILAB-based Robust Control Design and Analysis for an Aerospace System, in Proc.4th International Conference on Mechanical and Aerospace Engineering, Moscow, July20~21, 2013.
[3] SCILAB, (Online).
[4] Matlab and Simulink, (Online).
[5] M. Baudin and S. Steer, ``Optimization with Scilab, present and future,'' in Proc. IEEE International Workshop on Open-source Software for Scientific Computation, Guiyang, China, September 18-20, 2009, pp. 99-106.
[6] J. Li, W. Gao and H. Liang, ``Researches on the method of the hardware in loop simulation for vehicle stability control system based on scilab/scicos,'' in Proc. IEEE Intelligent Vehicles Symposium, Xian, China, June 3-5, 2009, pp. 820-823.
[7] L. Mevel, M. Goursat, A. Benveniste and M. Basseville, ``Aircraft flutter test design using identification and simulation: a SCILAB toolbox,'' in Proc. IEEE Conference on Control Applications, Toronto, Canada, August 28-31, 2005, pp. 1115-1120.
[8] S. Skogestad and I. Postlethwaite, Multivariable Feedback Control: Analysis and Design. Wiley, England, 2009.
[9] Robust control toolbox, (Online).
[10] K. Zhou and J. C. Doyle, Essential of robust control. Prentice-Hall, Inc., New Jersey, 1998.