FUZZY BASED NONLINEAR SYSTEM TO IMPROVE THE PERFORMANCE OF MAXIMUM POWER POINT TRACKING IN MULTI-LEVEL INVERTERS

A Multilevel Inverter (MLI) acting recently has a medium-voltage inverter with a decreased redundancy in the components as an alternative superior choice. The interconnection sequence of many single-phase inverters also provides high quality input current and output voltage. In many applications related to power systems, the regenerative problem is a big problem. Finally, the regenerative Ness of an MLI fails and this problem is overcome by an improvement in the two-way power flow. To remove the regenerative problem, we use a fuzzy, non-linear system, which is coupled with a PI controller to control the Maximum Power Point (MPP) of the computer in the MPPT system. This approach uses a FNLS which adjusts the Fuzzy IN NLS membership. The required MPP is driven and simulation modeling with Simulink is carried out. In comparison with traditional approaches, the FNLS approach succeeds in applying the machine learning method to identify the MPP with less TH