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
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 interf...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
UiTM Press
2018
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/63117/1/63117.pdf https://ir.uitm.edu.my/id/eprint/63117/ https://jeesr.uitm.edu.my/v1/ |
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| Summary: | 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. |
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