This paper focuses on Hall-effect sensor fault detection and compensation for brushless dc (BLDC) drives. A methodology based on the Hall position vector phase differences is investigated to detect Hall fault. In order to obtain high-resolution position estimation in fault operation, an improved interpolation position estimation algorithm is described. The method's most innovative feature is the rapid fault diagnosis. After that, Hall signal noise is analyzed between sampling periods, and a correction machine to filter Hall noise and compensate the filter delay is proposed. Experimental results are shown to validate the effectiveness of the proposed method in the BLDC drive system.

In this paper, Hall-effect sensor faults are investigated in Sinusoidal-current-fed Permanent Magnet In-wheel Motor (PMIM) drives. And an effective methodology for their diagnostic and compensation is proposed. In particular, fault diagnostic only based Hall sensors signal, at the rising or falling edges of Hall signal, fault types of Hall sensors are diagnosed according to the specific type of Hall signal transitions and the current state of Hall signal. Fault-compensation based on reduced-order observer which has been devised to be free from the mechanical parameters (such as, inertia) in rotor position estimation process. The validity and effectiveness of the proposed methods are verified by experiments on PMIM with excessive and variable load.

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