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      Mechanically Actuated Capacitor Microphone Control using MPC and NARMA-L2 Controllers

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            Abstract

            In this paper, a capacitor microphone system is presented to improve the conversion of mechanical energy to electrical energy using a nonlinear auto regressive moving average-L2 (NARMA-L2) and model predictive control (MPC) controllers for the analysis of the open loop and closed loop system. The open loop system response shows that the output voltage signal need to be improved. The comparison of the closed loop system with the proposed controllers have been analyzed and a promising result have been obtained using Matlab/Simulink.

            Content

            Author and article information

            Journal
            ScienceOpen Preprints
            ScienceOpen
            27 June 2020
            Affiliations
            [1 ] School of Electrical and Computer Engineering
            [2 ] Faculty of Electrical and Computer Engineering
            Article
            10.14293/S2199-1006.1.SOR-.PPRDOZ8.v1
            b6f62d09-bbeb-48c1-b521-617c0cae64f5

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .


            All data generated or analysed during this study are included in this published article (and its supplementary information files).
            Engineering
            Microphone, Nonlinear auto regressive moving average-L2, Model predictive control

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