A hybrid adaptive Neural-Fuzzy tuned P.I. controller based Unidirectional Boost P.F.C. converter feeds B.L.D.C. drive

摘要

The demand for solid state A.C.-D.C. converters to enhance power quality in the expression of P.F.C. (Power Factor Correction) impels the proposal of miscellaneous topologies. This paper presents a hybrid Neural-Fuzzy Controller (N.F.C.) tuned P.I. controller based Unidirectional Boost P.F.C. converter not only for regulating the drawn current, minimizing harmonics pollutions (that deteriorating the system power quality) and enhancing the circuit efficiency but also for B.L.D.C. (Brush Less D.C.) machine speed controlling. The paper first presents a mathematical model and P.F.C. circuit; besides it depicts the way of hybrid controlling system evolves the controlling of drives performance at both transient and steady state conditions. It is important to be concerned that an integral robust S.S.E.E. (Steady State Error Eliminator) is paralleled to the system developing the controlling process wholly. Minimizing A.C. supply current distortion as close as to unity P.F. over a wide range of rotational speed is one of the advantages of this enhanced system. The presented modeled system contains Hybrid Neural-Fuzzy Controlling units, P.F.C. unit, unidirectional Boost Converter and B.L.D.C. machine; that simulated MATLAB model is proposed and discussed in details. Simulation results significantly depict the impressiveness of the proposed controlling system in T.H.D. reduction.