基于模糊控制的太阳电池最大功率点跟踪算法研究

RESEARCH OF MAXIMUM POWER POINT TRACKING OF SOLAR CELL BASED ON FUZZY CONTROLLING TECHNOLOGY

通过分析太阳电池的输出特性及最大功率点跟踪(MPPT)的基本原理,在电导增量法的基础上,采用模糊控制确定跟踪步长的大小和方向。在Matlab仿真环境下,建立模糊控制器和降压式(Buck)变换电路,在标准测试条件、光照强度和温度变化的情况下分别使用模糊控制法、扰动观察法和电导增量法进行最大功率点跟踪,仿真结果表明模糊控制法比扰动观察法和电导增量法在寻找最大功率点的速度和跟踪过程的稳定性上都要优越。

Through analyzing the output characteristics of solar cell and the basic principles of the maximum power point tracking （MPPT）, the fuzzy control method was used to determine the tracking step size and direction based on the conductance increment method. The fuzzy controller and Buck conversion circuit were set up in Matlab simulation environment. The fuzzy control method, the perturbation observation method and the conductance increment method were used for the maximum power point tracking, respectively, not only in the standard testing condition but also in the temperature and solar radiation changing condition. The simulation results show that the speed of finding the maximum power point is faster and the stability of the tracking process is also superior by fuzzy controller than the perturbation observation method and the conductance increment method.