Implementation of particle swarm optimization for tuning of PID controller in Arduino Nano for solar MPPT system / Muhammad Iqbal Mohd Zakki, Mohd Najib Mohd Hussain and Nawawi Seroji

Mohd Zakki, Muhammad Iqbal and Mohd Hussain, Mohd Najib and Seroji, Nawawi (2018) Implementation of particle swarm optimization for tuning of PID controller in Arduino Nano for solar MPPT system / Muhammad Iqbal Mohd Zakki, Mohd Najib Mohd Hussain and Nawawi Seroji. Journal of Electrical and Electronic Systems Research (JEESR), 13: 11. pp. 78-85. ISSN 1985-5389

Abstract

This paper presents the implementation particle
swarm optimization (PSO) embedded in Arduino Nano for
proportional-integral-derivative controller (PID) tuning as a
validation for real-time hardware application on the photovoltaic
maximum power point tracking (MPPT) system. The Arduino is
interfaced to the MATLAB/Simulink via serial communication
device to provide duplex communication for PID tuning. The
performance of PID tuning using PSO in Arduino was compared
with the performance of MATLAB PID tuner toolbox based on
simulation result via Simulink. The embedded PSO-PID provides
better performance of 10 times higher compared to MATLAB
PID tuner.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Mohd Zakki, Muhammad Iqbal
UNSPECIFIED
Mohd Hussain, Mohd Najib
UNSPECIFIED
Seroji, Nawawi
UNSPECIFIED
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Devices for production of electricity by direct energy conversion > Solar batteries. Solar cells
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Probes (Electronic instruments)
Divisions: Universiti Teknologi MARA, Pulau Pinang > Permatang Pauh Campus
Journal or Publication Title: Journal of Electrical and Electronic Systems Research (JEESR)
UiTM Journal Collections: UiTM Journal > Journal of Electrical and Electronic Systems Research (JEESR)
ISSN: 1985-5389
Volume: 13
Page Range: pp. 78-85
Keywords: PV, MPPT, PSO, PID, Arduino Nano
Date: December 2018
URI: https://ir.uitm.edu.my/id/eprint/63117
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