Abstract
This paper describes the application of modern tools from robust control theory to the design of high-performance multivariable temperature controllers for diffusion furnaces. The process is modeled from input-output data, collected in a identification experiment at the desired operating conditions. An important component of the identification is the computation of uncertainty bounds describing the confidence limits of the model, in a manner consistent with robust control theory. The identification results are then used to design an H-infinity controller with a cascade, hierarchical structure. The gain-scheduling of several linear controllers is also investigated in an effort to achieve good performance in a wide range of operating conditions. Experimental results demonstrate the success of the approach.
Original language | English (US) |
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Title of host publication | Proceedings of the IEEE Conference on Decision and Control |
Publisher | IEEE |
Pages | 4192-4197 |
Number of pages | 6 |
Volume | 4 |
State | Published - 1999 |
Event | The 38th IEEE Conference on Decision and Control (CDC) - Phoenix, AZ, USA Duration: Dec 7 1999 → Dec 10 1999 |
Other
Other | The 38th IEEE Conference on Decision and Control (CDC) |
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City | Phoenix, AZ, USA |
Period | 12/7/99 → 12/10/99 |
ASJC Scopus subject areas
- Chemical Health and Safety
- Control and Systems Engineering
- Safety, Risk, Reliability and Quality