Development and control of BLDC Motor using fuzzy models

This paper presents the design and control of a small brushless DC (BLDC) motor. In order to control the developed BLDC motor, an adaptive fuzzy control (AFC) scheme via parallel distributed compensation (PDC) is developed for the multi- input/multi-output plant model represented by the Takagi-Sugeno (TS) model. The alternative AFC scheme is proposed to provide asymptotic tracking of a reference signal for systems with uncertain or slowly time-varying parameters. The developed control law and adaptive law guarantee the boundedness of all signals in the closed-loop system. In addition, the plant state tracks the state of the reference model asymptotically with time for any bounded reference input signal. The suggested design technique is applied to velocity control of a developed small BLDC motor.