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Paper details
Number 2 - June 2017
Volume 27 - 2017
Assessment of the GPC control quality using non-Gaussian statistical measures
Paweł D. Domański, Maciej Ławryńczuk
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 α-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.
Keywords
control performance assessment, GPC control, non-Gaussian PDF, Cauchy PDF, Lévy α-stable PDF