本研究探討利用不同之模糊輸入信號設計太陽能最大功率追蹤之模糊控制器。最大功率追蹤透過升降壓電源轉換器來達成。本論文設計六個不同模糊輸入信號之太陽能最大功率追蹤模糊控制器。分別按照其物理現象及物理量，設計不同的控制器。並記錄設計控制器過程所碰到的難題，及相對應的因應對策，最後再個別對這幾種變數做分析比較。其中一種是由增量電導法做改良，此法為本研究中最好的方法，且設計簡易。我們利用此法則成功的設計一個具穩壓功能的太陽能最大功率追蹤系統。最後我們在MATLAB/SIMULINK環境上利用PLECS電路模擬工具成功的完成電腦模擬驗證。 This thesis investigates the design of fuzzy-logic-based solar power maximum power point tracking (MPPT) algorithm using different fuzzy input variables. Six fuzzy MPPT algorithms based on different input-variables are considered in the study. The fuzzy logic based MPPT function is accomplished through a buck-boost power converter. Based on the solar cell properties, details of the determinations and considerations of the fuzzy rules for each MPPT algorithms are presented in the thesis. Advantages and disadvantages of the considered algorithms are also summarized in the paper. Among them, the algorithm using the sum of the angle of the conductance and the angle of the increment of the conductance as the fuzzy input variable is the most promising one considered in the research. The algorithm is then used to design a voltage-regulated solar power MPPT system. Computer simulations based on MATLAB/SIMULINK and PLECS simulation tool are conducted to verify the design.
