Abstract
Time series files are the first available data about the control system. Actually, for the univariate loop we have available four variables: process output, manipulating variable, setpoint and control error. Analysis of this data in time domain is often the first shot in the CPA analysis. Once the time trends are properly acquired from the industrial system and delivered to the analysis, one can start playing with them. Step response and the associated indexes are almost always considered as the starting point. The main measures of the settling time and overshoot constitute the reference factors delivering commonly understood research and practical baseline. They are sometimes followed by their derivative indexes, which are based not only on the step loop response but also on the loop disturbance step or impulse response. This chapter puts together and summarizes the approaches that use time-domain step response as the fundamental element.
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References
Björklund, S.: A survey and comparison of time-delay estimation methods in linear systems. Technical Report Linköping Studies in Science and Technology, Thesis No. 1061, Linköping Universitet, Department of Electrical Engineering, Division of Automatic Control, Sweden (2003)
Goradia, D.B., Lakshminarayanan, S., Rangaiah, G.P.: Attainment of PI achievable performance for linear SISO processes with deadtime by iterative tuning. Can. J. Chem. Eng. 83(4), 723–736 (2005)
Hägglund, T.: Automatic detection of sluggish control loops. Control Eng. Prac. 7(12), 1505–1511 (1999)
Isermann, R., Münchhof, M.: Identification of Dynamic Systems: An Introduction with Applications. Springer Publishing Company, Incorporated (2014)
Jelali, M.: Control system performance monitoring assessment, diagnosis and improvement of control loop performance in industrial automation. Ph.D. thesis, Habilitationsschrift of the Universität Duisburg-Essen (2010)
Liptak, B.G.: Instrument Engineers’ Handbook, Fourth Edition, Volume Two: Process Control and Optimization. CRC Press, Taylor & Francis Group, Boca Raton, FL (2005)
Salsbury, T.I.: A practical method for assessing the performance of control loops subject to random load changes. J. Process Control 15(4), 393–405 (2005)
Seborg, D., Edgar, T.F., Mellichamp, D.: Process Dynamics & Control. Wiley, New York (2006)
Spinner, T.: Performance assessment of multivariate control systems. Ph.D. thesis, Texas Tech University (2014)
Swanda, A.P., Seborg, D.E.: Controller performance assessment based on setpoint response data. In: Proceedings of the 1999 American Control Conference, vol. 6, pp. 3863–3867 (1999)
Veronesi, M., Visioli, A.: A technique for abrupt load disturbance detection in process control systems. IFAC Proc. 41(2), 14900–14905 (2008). 17th IFAC World Congress
Visioli, A.: Method for proportional-integral controller tuning assessment. Ind. Eng. Chem. Res. 45(8), 2741–2747 (2006)
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Domański, P.D. (2020). Step Response Indexes. In: Control Performance Assessment: Theoretical Analyses and Industrial Practice. Studies in Systems, Decision and Control, vol 245. Springer, Cham. https://doi.org/10.1007/978-3-030-23593-2_2
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DOI: https://doi.org/10.1007/978-3-030-23593-2_2
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