Neuro-Fuzzy Controller-Based Solar Panel Tracking System
The demand for the use of renewable energy sources has increased considerably, in recent years, due to the fast depletion of fossil fuels and population growth. Among the renewable energy sources, the solar photovoltaic (PV) system is a popular and the most economical renewable energy source. Electr...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Published: |
2019
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | The demand for the use of renewable energy sources has increased considerably, in recent years, due to the fast depletion of fossil fuels and population growth. Among the renewable energy sources, the solar photovoltaic (PV) system is a popular and the most economical renewable energy source. Electric power generation using solar PV system utilizes solar panels exposed to the sun. As the position of the sun changes throughout the day, solar tracking systems play a vital role in the efficient operation of a solar photovoltaic system. Therefore there is a need for an efficient controller for the tracking system to maximize the power output from the solar photovoltaic system. This thesis deals with the design and development of a smart controller based solar panel tracking system. Different types of controllers including P, PI, PID, and fuzzy logic controllers have been applied to the tracking system. However, the improvement is not found to be considerable. They have the disadvantage of being relatively hard to design and they may not work well for non-linear systems. This thesis proposes the design and development of a smart neuro fuzzy controller based solar panel tracking system. |
|---|