Research And Implementation Of Data-Driven Control For Dual-Buck Inverter

With the development of new energy,inverter as a new energy converter is widely used,its load capacity is increasing and it has more and more types,therefore,improving the output reliability of inverter is extremely important.In general,the main performance indexes of the inverter output waveform include fast dynamic response and lower total harmonic distortion,However,due to the existence of many linear unbalanced loads and the nonlinearity of the inverter itself,it is difficult to model accurately and the output voltage contains a large number of harmonics.Therefore,based on dual-buck inverter,a data-driven control method is proposed in this paper to improve the output characteristics of the inverter under unbalanced load,accordingly,the control performance of the inverter is improved.In order to solve the problem of the output voltage waveform distortion of periodic load inverters with rectifier,this paper analyzes and compares the research status of topological inverting at home and abroad and the development of related numerical control algorithms.Two kinds of data driven algorithmthe,which include data driven PID and iterative learning control are combined application in inverter output waveform control,the compound control algorithm does not consider the problem of inaccurate system model and meets the requirements of non-linear unbalanced load.This paper establishes the transfer function mathematical model of inverter system based on equivalent circuit model and discretizes it,starts from the output characteristic of inverter and analyzes the causes of the distortion of the output waveform and the solving method,the data-driven PID controller and iterative learning controller are designed,a detailed analysis of convergence of iterative learning control algorithms and the design of data-driven PID control parametersthe design parameters;then a simulation model of the inverter system is built on the PSIM platform,comparing with the simulation waveform of traditional PI double closed loop control and PI + iterative learning control,we can know that using data-driven PID + iterative learning control makes anti-periodic disturbance ability more stronger and dynamic response more faster,which shows the superiority of the control scheme in the simulation system.Finally,a lkw dual-buck inverter prototype is built based on the DSP(TMS320F28377D)controller,the design of main circuit parameters and conducting corresponding experiments is analyzed,the experimental results verify the feasibility of the theoretical analysis,which show that the control scheme of the inverter system has superior performance、the output waveform’s THD is low and high steady-state accuracy.