Implementation and comparison of Perturb and Observe, and Fuzzy Logic Control on Maximum Power Point Tracking (MPPT) for a Small Satellite
Abstract
In a small satellite, with the restriction of the size of solar arrays, variation of the sun radiation, and low efficiency of solar cells, there is a huge demand for Maximum Power Point Tracking (MPPT). However, the main issue with using solar cells is to reach its maximum power point because of the change in the temperature and sun radiation. There are some basic and hybrid MPPT methods, which in this paper, the Perturb and Observe (P&O) method, has been designed which is a fast method with high reliability. But, because of power oscillation around the operating point in P&O method, a fuzzy method is used for maximum power point tracking so that without the need for temperature and light sensors, reduction of output power oscillations can be achieved. Simulation results indicate that by using the fuzzy method, the output power is less fluctuated and therefore more power can be driven from the same solar panel.
Keywords
Full Text:
AbstractReferences
Ahmadi, H., Gholamzadeh, M., Shahmoradi, L., Nilashi, M., & Rashvand, P. (2018). Diseases diagnosis using fuzzy logic methods: A systematic and meta-analysis review. Computer Methods and Programs in Biomedicine, 161, 145-172.
Alam, M. S., Azeem, M., & Alouani, A. T. (2013). Modified queen-bee algorithm-based fuzzy logic control for real-time robust load matching for a solar PV system. IEEE Transactions on Sustainable Energy, 5(2), 691-698.
Bouchafaa, F., Hamzaoui, I., & Hadjammar, A. (2011). Fuzzy Logic Control for the tracking of maximum power point of a PV system. Energy Procedia, 6, 633-642.
Chen, Y.-K., & Chen, K.-H. (2010). Prediction maximum power point tracking method for PV-battery micro-satellite systems with body mounted Solar Panels. Paper presented at the The 2010 International Power Electronics Conference-ECCE ASIA-.
Chiu, C.-S. (2010). TS fuzzy maximum power point tracking control of solar power generation systems. IEEE Transactions on Energy Conversion, 25(4), 1123-1132.
Femia, N., Petrone, G., Spagnuolo, G., & Vitelli, M. (2005). Optimization of perturb and observe maximum power point tracking method. IEEE transactions on power electronics, 20(4), 963-973.
Moaveni, B., Fathabadi, F. R., & Molavi, A. (2020). Supervisory predictive control for wheel slip prevention and tracking of desired speed profile in electric trains. ISA transactions, 101, 102-115.
Moaveni, B., Rashidi Fathabadi, F., & Molavi, A. (2020). Fuzzy control system design for wheel slip prevention and tracking of desired speed profile in electric trains. Asian Journal of Control.
Nilashi, M., bin Ibrahim, O., & Ithnin, N. (2014). Hybrid recommendation approaches for multi-criteria collaborative filtering. Expert Systems with Applications, 41(8), 3879-3900.
Sharma, D., & Purohit, G. (2012). Advanced perturbation and observation (P&O) based maximum power point tracking (MPPT) of a solar photo-voltaic system. Paper presented at the 2012 IEEE 5th India International Conference on Power Electronics (IICPE).
Taherbaneh, M., & Menhaj, M. B. (2007). A fuzzy-based maximum power point tracker for body mounted solar panels in LEO satellites. Paper presented at the 2007 IEEE/IAS Industrial & Commercial Power Systems Technical Conference.
Wilamowski, B. M., & Li, X. (2002). Fuzzy system based maximum power point tracking for PV system. Paper presented at the IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.