| Title |
Application of Neural Network Control Algorithm and Maximum Power Tracking of Sun Photocell using Sunlight Sensor |
| Authors |
Seok-Ju Yoo ; Sung-Su Lee ; Wal-Seo Park |
| Keywords |
Maximum Power Of Photocell ; Neural Network Algorithm |
| Abstract |
Recently, photovoltaic generator system is widely extended by energy policy of the government. Add to this, high efficiency of photocell power generation is steady needed to sun tracking method. However sun tracking method is not widely extended by insufficiency of tracking technology. As method of solving this problem, this paper applied sunlight sensor and neural network control algorithm for maximum power tracking of sun photocell. Sun tracking sensor consists of one upright square pole and four light sensor of east, west, south, north on flat board. Sun tracking dual axes control is operated respectively by two motor. Motor control input is calculated by neural network control algorithm. The function of proposed control method is verified by sun tracking experiment of photocell generation. The sun tracking method of this paper is increased 32[％] efficiency more than fixed method. |