Non-Gaussian statistical measures of control performance

• Autorzy: Domański P. D.
• Języki publikacji: EN

Abstrakty

EN

Statistical approach to Control Performance Assessment (CPA) is of great practical importance. This is particularly visible in process industry, where there are many PID loops. They are often assessed with measures derived from the Gaussian probabilistic density function. Standard deviation, variance, skewness or kurtosis form the majority of applied indexes. The review of data originating from process industry shows, however, to the contrary, that these signals have rather non-Gaussian properties and are mostly characterized by fat-tailed distribution disable the ability. Investigations show that strong disturbances may significantly disable the capacity of proper assessment. Standard measures often fail in such cases. It is shown that non-Gaussian measures can help with this problem. Various disturbances are tested and compared. Results show that fat-tailed distributions are an interesting alternative. They are less sensitive to disturbance shadowing and still make possible loop dynamic assessment.

Słowa kluczowe

EN

Control Performance Assessment; statistical measures; PID; disturbance shadowing; non-Gaussian functions

• Wydawca: Systems Research Institute, Polish Academy of Sciences
• Czasopismo: Control and Cybernetics
• Rocznik: 2017
• Tom: Vol. 46, no. 3
• Strony: 259--290
• Opis fizyczny: Bibliogr. 33 poz., rys.

Twórcy

autor

Domański P. D.

• Institute of Control and Computation Engineering Warsaw University of Technology ul. Nowowiejska 15/19, 00-665 Warszawa, Poland

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).