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A fast closed-loop process dynamics characterization
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AI
DOI：10.1016/j.isatra.2013.12.006.png)
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Abstract
En 中文
Stable, integrating and unstable processes, including dead-time, are analyzed in the loop with a known PI/PID controller. The ultimate gain and frequency of an unknown process G(p)(s), and the angle of tangent to the Nyquist curve G(p)(i omega) at the ultimate frequency, are determined from the estimated Laplace transform of the set-point step response of amplitude r(0). Gain G(p)(0) is determined from the measurements of the control variable and known r(0). These estimates define a control relevant model G(m)(s), making possible the use of the previously determined and memorized look-up tables to obtain PID controller guaranteeing desired maximum sensitivity and desired sensitivity to measurement noise. Simulation and experimental results, from a laboratory thermal plant, are used to demonstrate the effectiveness and merits of the proposed method. (C) 2013 ISA. Published by Elsevier Ltd. All rights reserved.
Keywords:
PID control
Closed-loop identification
Measurement noise
Robustness
Tuning