Design of The Adaptive Sliding Self-Organizing Cerebellar Model Articulation Controller for Switched Reluctance Motors

This study proposes an adaptive sliding self- organizing cerebellar model articulation controller (ASSOC)based on a novel design perspective. Self-organizing structures and adaptive laws are adopted to facilitate the dynamic parameter tuning functions of a cerebellar model articulation controller (CMAC) with fixed layers of association memory. The layers of association memory vary with a predetermined threshold value, thus improving control performance. In addition, the proposed ASSOC is applied on the switched reluctance motor direct torque control (DTC) system as a speed controller. The experimental results reveal that the proposed ASSOC exhibits excellent speed responses at various speeds.