Applied Mathematics & Information Sciences

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This paper examines the problem of designing a robust fuzzy speed controller of Brushless DC (BLDC) motors which is described by a Takagi-Sugeno (TS) fuzzy model. Based on a linear matrix inequality (LMI) approach, LMI-based sufficient conditions for BLDC motor to have an H¥ performance are derived. The proposed approach can overcome the nonlinearity and disturbances problems, while a conventional controller may suffer in controlling the motor speed due to some disturbance and nonlinearity of the BLDC motor. Finally, the effectiveness of the designed approach is demonstrated that the proposed methodology is provided a high performance robust control system for the BLDC motor through the simulation results.

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