Adaptive control of power factor correction converter using nonlinear system identification
作者： K.M. Tsang , W.L. Chan
关键词: Control engineering 、 Control theory 、 System identification 、 Control theory 、 Adaptive control 、 PID controller 、 Converters 、 Engineering 、 Nonlinear system identification 、 Power factor 、 Voltage regulation
摘要: PID controllers have been very successful in industrial applications. However, for nonlinear processes, their performances are not satisfactory. Conventional active power factor correction (PFC) converters use classical PI to carry out output voltage regulation and correction. Since the process is highly nonlinear, an adaptive controller has developed improve performance of PFC converters. An orthogonal least squares estimation algorithm was incorporated identification boost A parsimonious model obtained based on prediction error reduction ratio test. The mean then implemented online tracking system parameters derived fitted model. Experimental studies were carried demonstrate effectiveness proposed control harmonic elimination.
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