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Closed-Loop Identification and Performance Indexes of an Industrial Paperboard Machine
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Abstract
A closed-loop identification technique was applied to the pH control loop of the headbox of an industrial paperboard machine. A first-order-plus-time-delay process model was inserted into the closed-loop transfer function. The ISE index and its uncertainty were determined, leading the Kahn and Lehman rule to present the best performance and to the lowest ISE uncertainty. A novel index, IEP (integral of the error propagation), was also proposed to investigate the accuracy of the controlled variable predictions. The IEP index also led to the choice of the Brambilla et al tuning rule as the best choice, as it presented the lowest value
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