Design of Robust Internal Model Control for Multivariate Descriptor Systems Based on Time-scale Transformation

DOI

10.2991/mcae-16.2016.2How to use a DOI?

Keywords

multivariate descriptor system; internal model control; transfer function; robust performance

Abstract

This paper deals with a design problem of robust internal model control (IMC) for multivariate descriptor linear systems with more inputs than outputs, which establishes a possible way to design and analyze descriptor systems. The main idea of the method is that the given system is first decomposed into slow and fast subsystems. And then the internal model controller and dynamic compensator are designed for the two subsystems respectively. For the sake of implementation, time-scale transformation is introduced. In virtue of uncertainties always exist in practical system, a robust controller is designed for improving the stability and the performance. Finally, an example is adopted to demonstrate the validity and feasibility of the new method. It is shown that the proposed strategy not only guarantees control effect of the closed-loop system, but also simultaneously eliminates the impulsive behavior of the fast subsystem.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Beiyan Jiang
AU  - Meiying Jiang
AU  - Yuming Zhang
AU  - Xinghan Du
AU  - Yan Huang
AU  - Wu Cai
PY  - 2016/07
DA  - 2016/07
TI  - Design of Robust Internal Model Control for Multivariate Descriptor Systems Based on Time-scale Transformation
BT  - Proceedings of the 2016 International Conference on Mechatronics, Control and Automation Engineering
PB  - Atlantis Press
SP  - 7
EP  - 11
SN  - 2352-5401
UR  - https://doi.org/10.2991/mcae-16.2016.2
DO  - 10.2991/mcae-16.2016.2
ID  - Jiang2016/07
ER  -