Predictive control of integrating processes based on a nonparametric model

The predictive control method presented was developed to assure a stable control of integrating processes that cannot be directly described with bounded weighting sequences. The predictive model is formed on the basis of a differential limited weighting sequence that is identified online. The length...

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Bibliographic Details
Main Authors: Svecko, R., Donlagic, D., Cucej, Z., Debevc, M., Tominc-Bele, L.
Format: Conference Proceeding
Language:English
Subjects:
Adaptive control
Convolution
Nonlinear equations
Optimal control
Predictive control
Predictive models
Process control
Programmable control
Sampling methods
Stress
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Summary:The predictive control method presented was developed to assure a stable control of integrating processes that cannot be directly described with bounded weighting sequences. The predictive model is formed on the basis of a differential limited weighting sequence that is identified online. The length of the predictive horizon, is dependent on process characteristics. A delay, stability, and proportional or integrating process behavior are directly connected with weighting sequence member values. With the delay in a predictive algorithm the influence of nonminimal phase on the control stability was reduced. This means that processes with the nonminimal phase can also be controlled with a one-step predictor.< >
DOI:10.1109/MELCON.1991.161972