The Research Of Maximum Power Point Tracking By Using Fuzzy PID Control In Photovoltaic System

Recently, with economic development rapidly, environmental pollution is getting worse. Inthe context of sustainable development, on a global scale, all are looking for a clean energy sourceto replace traditional fossil fuels. Solar energy who has a unique advantage boarded the stage andcherished by many countries. Construction of photovoltaic power generation system and improveits efficiency becomes particularly important.With the change in temperature and irradiance and other external parameters, the outputpowerofthephotovoltaic isconstantlychanging. To obtainthe maximumoutput power,maximumpower point tracking is indispensable. There are many ways for MPPT which has diverselimitations. Because of the PV system is a nonlinear system, use fuzzy control may have goodcontrol effect. To further reduce vibration and improve steady-state performance, in this paper,PID control and fuzzy control combining a fuzzy PID control method was proposed. The mainresearch contents are as follows:Firstly, the paper focuses on the photovoltaic grid-connected system and analyzes the currentsituation for domestic and foreign. To achieve Maximum Power Point Tracing (MPPT), DC/DCconverter circuit is required. Through the analysis of common topological structure, selects boostconverter as a controller and deduces its relevant parameters.Then, from the principle of photovoltaic power generation, introduces its equivalent circuitand the output characteristics in turn. Focuses on the principles of maximum power point tracking.Summary of several common MPPT methods and constant voltage tracking, perturbation andobservation, incrementalconductance are ina more detailed analysis, point out the advantages anddisadvantages. For nonlinear system, fuzzy control has advantage and use it for MPPT. In order toimprove the tracking speed and reduce volatility, as well as to improve the static performance,proposed fuzzy control and PID control combined. And has a depth research for fuzzy control andfuzzy PID control method of MPPT algorithm.Again, in the Matlab/Simulink environment, builds a simulation model of photovoltaic cells and photovoltaic arrays, and to demonstrate this simulation model’s versatility and validity.Achieve universal MPPT model with Boost circuit. For INC and fuzzy control and fuzzy PIDcontrol, conduct simulation experiments in turn. Especially for the case of illumination mutationsimplements simulation to verify the superiority of fuzzy PID control.Finally, establishes the experimental platform and chooses TMS320LF2812processorcontroller, and implement comparative experiments for fuzzy control and fuzzy PID control onthis platform. Experimental results show that the fuzzy PID control method has a faster trackingspeed and good static performance and little concussion.