Faculty Publications

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Author: search.filters.author.Jena, D.Subject: search.filters.subject.Buck converter

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    Comparative analysis of PID, I-PD and fractional order PI-PD for a DC-DC converter
    (Institute of Electrical and Electronics Engineers Inc., 2022) Shanthini, C.; Devi, V.S.K.; RAJENDRAN, S.; Jena, D.
    This article presents the design of fractional order PI-PD (FOPI-PD) controller for maintaining the output voltage of a buck converter. Initially, some conventional controllers were adapted, and these controllers introduced the overshoot and large settling time. Therefore, a FOPI-PD has been adapted to overcome the above limitations. The advantage of the FOPI-PD controller is that the error passes through the proportional and integral rather than all the controller gains, which reduces the overall control action. Further, the efficacy of the controllers is investigated in different simulation studies. The results show that the fractional order PI-PD controller significantly enhances the settling time in the presence of different load levels and controller disturbances. © 2022 IEEE.
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    Condition monitoring of degradation parameters using dynamic mode decomposition
    (Institute of Electrical and Electronics Engineers Inc., 2023) Jena, D.; RAJENDRAN, S.
    The parameter estimation of the nonlinear system demands complex estimation algorithms. Recently data-driven modeling such as Dynamic Mode Decomposition (DMD) and Dynamic Mode Decomposition with Control (DMDc), has gained popularity in the field of parameter estimation and system identification of complex non-linear systems. In this paper, we have applied the DMDc technique for system identification and parameter estimation of the DC motor and DC-DC buck converter with and without knowledge of the input matrix. Further, this helps in condition monitoring and predictive maintenance of different passive components in the buck converter, such as capacitors and resistors. The results conclude that the DMD estimates those parameters within a tolerance limit of 2.2% with a minimum number of data required to capture the dynamics of the system. © 2023 IEEE.