Application of Fuzzy Logic Controller for CSC Converter with BLDC Motor Drive

Abstract

This project presents a performance of the canonical switching cell (CSC) device fed brushless DC (BLDC) motor drive for power quality (PQ) improvement. The employment of CSC not solely controlled the DC link voltage however additionally create the inverter to control at low frequency in order that switching losses are reduced. Furthermore the utilization of front end CSC improves the power factor at AC mains. A design methodology is introduced that blends the classical fuzzy logic controllers in associate degree intelligent means and so a new intelligent controller has been achieved. Moreover, associate degree intelligent switching pattern is evoked on the mixing mechanism that produces a choice upon the priority of the two controller parts; particularly, the classical PI and also the fuzzy constituents. The simulations done on varied processes using the new fuzzy controller provides ‘better’ system responses in terms of transient and steady-state performances in comparison to the pure classical PI or the pure fuzzy controller applications. The performance graph has been plotted for the total harmonic distortion (THD) and also the power factor (PF). A front end Canonical switching cell device operating in Discontinuous inductor Current Mode (DICM) is planned for power factor correction operation at AC mains. fuzzy logic is introduced so as to suppress the chattering and enhancing the hardiness of the PFC control system. The performance has been evaluated with the help of Mat lab-Simulink.

Keywords— Diode Bridge Rectifier (DBR); Canonical switching cell (CSC) converter; discontinuous inductor current mode (DICM); Power factor correction (PFC); fuzzy logic control.