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An effective analog circuit design of approximate fractional-order derivative models of M-SBL fitting method

Murat Köseoğlu, Furkan Nur Deniz, Barış Baykant Alagöz, Hafız Alisoy

2021Engineering Science and Technology an International Journal27 citationsDOIOpen Access PDF

Abstract

There is a growing interest in fractional calculus and Fractional Order (FO) system modeling in many fields of science and engineering. Utilization of FO models in real-world applications requires practical realization of FO elements. This study performs an analog circuit realization of approximate FO derivative models based on Modified Stability Boundary Locus (M-SBL) fitting method. This study demonstrates a low-cost and accurate analog circuit implementation of M-SBL fitting based approximate model of FO derivative elements for industrial electronics. For this purpose, a 4th order approximate derivative transfer function model of the M-SBL method is decomposed into the sum of first order low-pass filters form by using Partial Fraction Expansion (PFE) method, and the analog circuit design of the approximate FO derivative model is performed. Firstly, by using the final value theorem, authors theoretically show that the time response of the sum of first order low-pass filter form can converge to the time response of fractional order derivative operators. Then, the approximation performance of proposed FO derivative circuit design is validated for various input waveforms such as sinusoidal, square and sawtooth waveforms via Multisim simulations. Results indicate an accurate realization of the FO derivative in time response (an RMSE of 0.0241). The derivative circuit realization of the M-SBL fitting model in the form of the sum of first order low pass filters can yield a better time response approximation performance compared to the Continued Fraction Expansion (CFE) based ladder network realization of the approximate derivative circuit.

Topics & Concepts

Realization (probability)Fractional calculusRC circuitDerivative (finance)Filter (signal processing)MathematicsWaveformApplied mathematicsAlgorithmComputer scienceVoltageEngineeringStatisticsEconomicsFinancial economicsElectrical engineeringComputer visionShort circuitTelecommunicationsRadarAdvanced Control Systems DesignFractional Differential Equations SolutionsAcoustic Wave Resonator Technologies
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