Optimal PI and PID Parameters for a Batch of Benchmark Process Models Representative for the Process Industry

作者: Olof Garpinger

DOI:

关键词: Data fileControl theoryApproximation errorProcess industryControl engineeringRobustness (computer science)Process modelingPID controllerSoftwareEngineeringNoise sensitivity

摘要: This report presents a large number of optimal PI and PID parameters for batch 134 benchmark process models representative the industry. information can e.g. be used as reference other controller design methods. The have been derived using MATLAB®-based software called SWORD, which determines or that gives best load disturbance performance given some closed-loop robustness. measure here is integrated absolute error during step on input, robustness constraints are by upper limits maximum sensitivity complementary sensitivity. It has previously shown SWORD to find near-optimal controllers also with respect an additional noise constraint. A method based this finding set all same robustness, but instead trade-off between Five such sets presented varying dynamics. There optimal, unfiltered, presented, related four different values. All data collected in tables at end report. MATLAB® files, Excel spreadsheets, well tex-file.

参考文章(3)
Olof Garpinger, Tore Hägglund, Software-based optimal PID design with robustness and noise sensitivity constraints Journal of Process Control. ,vol. 33, pp. 90- 101 ,(2015) , 10.1016/J.JPROCONT.2015.06.001
K.J. Åström, T. Hägglund, Revisiting the Ziegler-Nichols step response method for PID control Journal of Process Control. ,vol. 14, pp. 635- 650 ,(2004) , 10.1016/J.JPROCONT.2004.01.002
Olof Garpinger, Tore Hägglund, A Software Tool for Robust PID Design IFAC Proceedings Volumes. ,vol. 41, pp. 6416- 6421 ,(2008) , 10.3182/20080706-5-KR-1001.01082