Petergerya Y. Control of semiconductor transformers with the identification of parameters

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0499U001828

Applicant for

Specialization

  • 05.09.12 - Напівпровідникові перетворювачі електроенергії

30-06-1999

Specialized Academic Board

Д 26.187.01

Institute of Electrodynemics, NAS of Ukraine

Essay

Semiconductor transformers with the microprocessor control systems are the object of investigation. Elaboration of control algorithms with the identification of parameters of power circuits on a base of calculation of spectrum is the aim of investigation. Spectral methods to transform discrete functions at finite intervals are the methods of investigations. In the dissertation a model samples and PC were used. Theoretical results of dissertation are creation of mathematical model of closed control system with the transformers in a spectral area of symmetrical transformation at finite intervals and elaboration of identifying microprocessor algorithms on the base of spectrums calculation. Practical results are elaboration of algorithm to control pulse-width modulator at the photo-voltaic system with the taking away of maximum possible energy from each PV string and development of algorithm to control three-phase rectifier at board systems which allows to compensate influence of network non-symmetry to o utput voltage. Novelty of dissertation results consist in the elaboration of new algorithms to estimate transient and steady regimes, determination of correlation of different discrete convolutions and development of high-speed algorithm on the base of step-by-step control. Scientific results are inculcated in the educational process of Ukrainian National Technical University and effectively used at lighting system of TV channel INTER and at photo-voltaic system of ENERGOPERSPECTIVA Insitute. Algorithms developed can be effectively used in the theory of digital processing of signals, digital filtration and control with prediction.

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