Abstract
In this paper we begin with a state space model of a generally non-square process and derive the minimum achievable variance in a state feedback form. We propose a simple control performance calculation which uses orthogonal projection of filtered output data onto past closed-loop data. Finally, we propose a control performance monitoring technique based on the output covariance and diagnose the cause of suboptimal control performance using generalized eigenvector analysis. The proposed methods are demonstrated on an industrial wood waste burning power boiler.
| Original language | English |
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| Title of host publication | ADCHEM: 7th International Symposium on Advanced Control of Chemical Processes |
| Publisher | Elsevier Ltd. |
| Pages | 529-534 |
| Volume | 2 |
| DOIs | |
| Publication status | Published - Jan 2004 |
| Externally published | Yes |
| Event | 7th International Symposium on Advanced Control of Chemical Processes, ADCHEM 2003 - Hong Kong, China Duration: 11 Jan 2004 → 14 Jan 2004 |
Publication series
| Name | IFAC Proceedings Volumes |
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| Number | 1 |
| Volume | 37 |
| ISSN (Print) | 1474-6670 |
Conference
| Conference | 7th International Symposium on Advanced Control of Chemical Processes, ADCHEM 2003 |
|---|---|
| Country/Territory | China |
| City | Hong Kong |
| Period | 11/01/04 → 14/01/04 |
Funding
Financial support for this work from the National Science Foundation under CTS-0814340, Texas Higher Education Coordinating Board, and vVeyerhaeuser Company through sponsorship of the Texas Modeling and Control Consortium is gratefully acknowledged.
Research Keywords
- Covariance-based monitoring
- Generalized eigenanalysis
- MIMO control performance monitoring