Repetitive neurocontroller with disturbance feedforward path active in the pass-to-pass direction for a VSI inverter with an output LC filter

• Autorzy: Ufnalski B. , Grzesiak L. M.

Identyfikatory

DOI

10.1515/bpasts-2016-0013

• Języki publikacji: EN

Abstrakty

EN

An enhancement to the previously developed repetitive neurocontroller (RNC) is discussed and investigated in the paper. Originally, the time-base generator (TBG) has been used to produce the only input signal for the neural approximator. The resulting search space makes the dynamic optimization problem (DOP) of shaping the control signal solvable with the help of a function approximator such as the feed-forward neural network (FFNN). The plant under consideration, i.e. a constant-amplitude constant-frequency voltage-source inverter (CACF VSI) with an output LC filter, is assumed to be equipped with the disturbance load current sensor to enable implementation of the disturbance feed-forward (pDFF) path as a part of the non-repetitive subsystem acting in the along the pass p-direction. An investigation has been undertaken to explore potential benefits of using this signal also as an additional input for the RNC to augment the approximation space and potentially enhance the convergence rate of the real-time search process. It is numerically demonstrated in the paper that the disturbance feed-forward path active in the pass-to-pass k-direction (kDFF) improves the dynamics of the repetitive part as well indeed.

Słowa kluczowe

EN

repetitive control; feedforward neural network; dynamic optimization problem; repetitive disturbance rejection; voltage source inverter; disturbance dual feedforward path

PL

sterowanie powtarzalne; sieci neuronowe; problem optymalizacji dynamicznej; przetwornica napięcia; odrzucanie zakłóceń

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2016
• Tom: Vol. 64, nr 1
• Strony: 115--125
• Opis fizyczny: Bibliogr. 37 poz., rys., tab., wykr.

Twórcy

autor

Ufnalski B.

• Faculty of Electrical Engineering, Warsaw University of Technology, 75 Koszykowa St., 00-662 Warsaw, Poland

autor

Grzesiak L. M.

• Faculty of Electrical Engineering, Warsaw University of Technology, 75 Koszykowa St., 00-662 Warsaw, Poland

Bibliografia

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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.