Permanent Magnetic Brushless DC Motor Magnetism Performance depends on Different Intelligent Controller Response

This paper presents an intelligent controller to improve the performance of a permanent magnetic brushless dc motor (BLDCM) in a ball-and-beam system (BBS). The Hybrid interval type-2 Fuzzy Sliding Controller (HFSC) is designed and compared with a conventional extended-Karnik–Mendel (EKM)-type controller. The intelligent controller performance can affect the control phase margin condition which is to regulate the dc motor rotational flux directly due to factors of voltage and current. Based on this result, the flux distribution of the magnetic material of the BLDCM is investigated through finite element analysis (FEA). For torque response that is critical to the BBS performance, the proposed intelligent controller exhibits faster response than that achieved by a conventional approach. The computation efficiency of the developed controller is significantly enhanced, and the computing time can be reduced by more than 90%. Simulation results show that the torque required to achieve a prescribed control action can be reduced by more than 10%. This validates the performance of the proposed control approach.The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author