Abstract
In this article, we propose sufficient conditions for robust observer-based control of uncertain linear systems with polytopic uncertainties and unknown disturbances. The observer and the controller gains are obtained from the solution of a convex-optimization problem. Mixed performance constraints are imposed on the design in order to minimize the effects of the unknown disturbances on the overall closed-loop system. Subsequently, the proposed control design is generalized to trajectory tracking of uncertain systems. The effectiveness of the proposed results is demonstrated through robust position and speed control of a DC motor with uncertain parameters and unknown load torque disturbance.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2135-2140 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509026050 |
| DOIs | |
| State | Published - 19 Oct 2016 |
Publication series
| Name | Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016 |
|---|
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- DC motors
- Linear Matrix Inequalities (LMIs)
- Observer-based control
- Polytopic uncertainties
- Robust Control
- Tracking
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering
- Control and Optimization
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