• Aashutosh Sharma
• Piyush Agrawal

As the demand of energy is increasing, non-conventional energy resources is becoming very popular. Solar, wind, biogas etc are being looked as for alternative resource. The solar PV being the most popular in many places because of its various advantages such as low maintenance, long life etc. Due to the non linear current-voltage characteristic, output of PV panel is quite low. Maximum power point tracker (MPPT) are used to increase the efficiency of the system by making it to operate at maximum power. There are many MPPT techniques are available in literature. These are classified on these techniques are based on their design, sensor requirement, speed, effectiveness, cost and their implementation. These existing techniques have their own advantages and disadvantages. This paper presents a ANN based constant voltage technique which increases the efficiency of the system.

Photo voltaic (PV) Array, MPPT, PMDC motor, ANN, DC-DC converter.

"ARTIFICIAL NEURAL NETWORK BASED MAXIMUM POWER POINT TRACKERING TECHNIQUES IN SPV SYSTEMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.640-642, June 2019, Available :http://www.jetir.org/papers/JETIR1907K97.pdf

"ARTIFICIAL NEURAL NETWORK BASED MAXIMUM POWER POINT TRACKERING TECHNIQUES IN SPV SYSTEMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp640-642, June 2019, Available at : http://www.jetir.org/papers/JETIR1907K97.pdf