Creator:

Domański, Paweł ; Ławryńczuk, Maciej

Contributor:

Korbicz, Józef (1951- ) - red. ; Uciński, Dariusz - red.

Title:

Assessment of the GPC control quality using non-Gaussian statistical measures

Group publication title:

AMCS, Volume 27 (2017)

Subject and Keywords:

control performance assessment ; GPC control ; non-Gaussian PDF ; Cauchy PDF ; Lévy [alfa]-stable PDF

Abstract:

This paper presents an alternative approach to the task of control performance assessment. Various statistical measures based on Gaussian and non-Gaussian distribution functions are evaluated. The analysis starts with the review of control error histograms followed by their statistical analysis using probability distribution functions. Simulation results obtained for a control system with the generalized predictive controller algorithm are considered. The proposed approach using Cauchy and Lévy [alfa]-stable distributions shows robustness against disturbances and enables effective control loop quality evaluation. Tests of the predictive algorithm prove its ability to detect the impact of the main controller parameters, such as the model gain, the dynamics or the prediction horizon.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Date:

2017

Resource Type:

artykuł

DOI:

10.1515/amcs-2017-0021

Pages:

291-307

Source:

AMCS, volume 27, number 2 (2017) ; click here to follow the link

Language:

eng

License CC BY 4.0:

click here to follow the link

Rights:

Biblioteka Uniwersytetu Zielonogórskiego