Performance Assessment and On-line Monitoring of Control Systems (2/3)
Date Issued
2004-05-31
Date
2004-05-31
Author(s)
黃孝平
DOI
922214E002013
Abstract
The previous project has investigated the performance assessment of single-loop control systems.
Such assessment is based on the low-order models of the processes. Therefore, this project
mainly deals with the identification of the process, especially for the apparent deadtime. The
identification method uses the relay feedback test and artificial neural network (ANN) to estimate
the apparent deadtime first. Then, the processes are classified to be represented as FOPDT or
SOPDT models, and the model parameters are estimated accordingly. The identified models can
be used not only for performance assessment but also for controller tuning. It becomes an
auto-tuning system and can improve control performance effectively.
Subjects
control performance assessment
relay feedback test
apparent deadtime
artificial
neural network
neural network
auto-tuning
Publisher
臺北市：國立臺灣大學化學工程學系暨研究所
Type
report
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