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

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

Title: ScienceOpen Preprints

Publisher: ScienceOpen

Publication date (Electronic preprint): 27 June 2020

Affiliations

[1 ] School of Electrical and Computer Engineering

[2 ] Faculty of Electrical and Computer Engineering

Author information

Mustefa Jibril https://orcid.org/0000-0002-3165-2410

Article

DOI: 10.14293/S2199-1006.1.SOR-.PPRDOZ8.v1

SO-VID: b6f62d09-bbeb-48c1-b521-617c0cae64f5

License:

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 .

History

Date received : 27 June 2020

Data availability: All data generated or analysed during this study are included in this published article (and its supplementary information files).

ScienceOpen disciplines: Engineering

Keywords: Microphone, Nonlinear auto regressive moving average-L2, Model predictive control