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Model predictive control of four-leg three-level flying capacitor converter: influence of model parameter mismatch

Antoniewicz K., Rafal K., Jasinski M.

Power Electronics and Drives

2018

Vol. 3 (38), No. 1

1--9

This paper presents a control method for a four-leg three-level flying capacitor converter (FCC) operating as a shunt active power filter (SAPF), based on model predictive control with finite number of control states (FS-MPC). Current control and capacitor voltage balancing are described. Influence of the mismatch of the inductive filter model parameters on the current control precision is analysed. Results are supported by the experimental waveforms obtained with a 10kVA set-up.

Detection of Tooth Crack Nucleation Using Bispectral Measures

Jasinski M., Radkowski S.

Machine Dynamics Research

2013

Vol. 37, No. 4

53-60

The objectives of the presented paper are to better understand the mechanism of failure development in the dynamic mechanical systems. It is important to consider carefully the present changes in a technical conditions of elements of the system when planning the requirements to a proactive risk managements strategy. While a dynamical system traditionally is modeled by structural decomposition, in the paper the dynamic behavior of system is modeled by decomposition of the behavior flow into events and errors accompanying occurrence of failure. From this point of view the nonlinear model of failure occurrence, made from Volterra Series, is analyzed to realizing long term benefits of a proactive maintenance strategy. The models describes the effect on the evolution at the process variables for each hypothesized fault failure. In the paper it is also analyzed the impact of nonlinearity of the sub-section on the behavior of the whole system by using of high-order spectra.