Improved Model-Free Predictive Current Control With Forgetting Factor

An improved model-free predictive current control with forgetting factor (IMFPCCFF) is presented in this article. The main advantages of previous model-free predictive current control (MFPCC) are that it is only based on detecting the load currents and the current differences. It does not require any parameter of the system. However, this approach has noticeable disadvantages: high requirements on sampling accuracy increase system cost and reduce system reliability, and the reduction of sampling interval in high-frequency converters amplifies sampling noise in adjacent current increment calculations. This article utilizes more historical data to suppress the impact of sampling noise on system performance while introducing a forgetting factor to cope with changes in operating conditions. The feasibility and superiority of the proposedmethod are verified by experiments.