Abstract
This paper presents an intelligent controller to improve the performance of a permanent magnetic brushless DC motor (PM-BLDCM) in a ball-and-beam system (BBS). A hybrid interval type-2 fuzzy sliding controller (HFSC) was designed and compared with a conventional extended Karnik–Mendel (EKM)-type controller. The performance of the intelligent controller can affect the control phase margin condition, which regulates 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 was investigated through finite element analysis (FEA). For the torque response, which is critical to the performance of the BBS, the proposed intelligent controller exhibited faster response than that achieved by a conventional approach. The computation efficiency of the developed controller was significantly enhanced, and the computing time was reduced by more than 90%. Simulation results show that the torque required to achieve a prescribed control action was reduced by more than 10%. These results validate the performance of the proposed controller.
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