Optimized fractional low and highpass filters of (1 + α) order on FPAA

• Autorzy: Singh N. , Mehta U. , Kothari K. , Cirrincione M.

Identyfikatory

DOI

10.24425/bpasts.2020.133123

• Języki publikacji: EN

Abstrakty

EN

This work proposes an optimum design and implementation of fractional-order Butterworth filter of order (1 + α), with the help of analog reconfigurable field-programmable analog array (FPAA). The designed filter coefficients are obtained after dual constraint optimization to balance the tradeoffs between magnitude error and stability margin together. The resulting filter ensures better robustness with less sensitivity to parameter variation and minimum least square error (LSE) in magnitude responses, passband and stopband errors as well as a better –3 dB normalized frequency approximation at 1 rad/s and a stability margin. Finally, experimental results have shown both lowpass and highpass fractional step values. The FPAA-configured outputs represent the possibility to implement the real-time fractional filter behavior with close approximation to the theoretical design.

Słowa kluczowe

EN

fractional-order filter; FPAA; realization; robustness; bilevel optimization

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2020
• Tom: Vol. 68, nr 3
• Strony: 635--644
• Opis fizyczny: Bibliogr. 24 poz., tab., rys.

Twórcy

autor

Singh N.

• School of Engineering and Physics, University of the South Pacific, Laucala, Suva, Fiji, now at SPARC Hub Headquarters, 71 Normanby Rd, Notting Hill VIC 3168, Australia

autor

Mehta U.

• School of Engineering and Physics, University of the South Pacific, Laucala, Suva, Fiji

autor

Kothari K.

• School of Engineering and Physics, University of the South Pacific, Laucala, Suva, Fiji

autor

Cirrincione M.

• School of Engineering and Physics, University of the South Pacific, Laucala, Suva, Fiji

Bibliografia

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Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).