The Research Of Fuzzy Predictive Control Technology In The Inverter Dead-time Control

As social is progressing and developing, people’s living standards improve, the traditionalenergy sources oil, natural gas and coal will eventually be depleted, so the development andutilization of new energy is urgently required. Solar energy as green energy is proposed， for highlyconversion rate, does not have a negative impact on the environment, so much scholars favor it!solar installations converse its energy into DC energy through equipment, and daily life are oftenused in electrical equipment exchange Load. In order to supply the energy needs of AC load,usually the inverter to convert DC to AC power. Therefore, the energy conversion efficiency fromthe perspective of the inverter and use was extremely important.From the research of the current situation at home and abroad, there is serious shortcomings,such as the low conversion efficiency of the inverter, the output ripple, output waveform distortionand so on. Many scholars have done a lot of research, however, has failed to fundamentallyeliminate these problems. This article attempts to combine algorithms for PWM inverter dead-timecontrol, thereby improving the output waveform of PWM inverter.First, this paper introduces the fuzzy control algorithm and the predictive control algorithmfrom research status. The fuzzy adaptive control, reasoning, decision making, fuzzy identificationmethod, reliability analysis, and fuzzy systems are introduced to achieve several aspects, whenfuzzy control algorithm describes the current situation. The development process of predictivecontrol is described in detail, and also the predictive control algorithm problems and its advantages.Secondly, introduce the whole system architecture; outline the composition of each part.Several of the inverter topologies are compared to measure their respective strengths andweaknesses. Ultimately determine the full-bridge topology for the study. Also narrative the using ofthe algorithm methods, when describe of the structure of control algorithm.Again, introduce the fuzzy control algorithm and the principle of predictive control algorithms,according to the principles; obtain the data processing from control algorithms based on thestructure of the inverter. Simulate in MATLAB environment, and get satisfactory controlperformance. Move control algorithms to control the chip; make access to the appropriate PWMwaveform to the drive inverter circuit. Test system using the oscilloscope output ripple, comparedwith no use of algorithms, the effect is obvious.This dissertation controls algorithm PWM inverter dead time by combining the fuzzy controlalgorithm and the predictive, reduces the output ripple, and output waveform are effectivelyimproved. The algorithm is thought that a reasonable, provide a reference value for the furtherresearch of Power.