Fault identification on hall-effect sensors positioning in brushless DC motor drives via a fuzzy inference system

In this study, a diagnostic method to identify the misplacement angle of a Hall-effect position sensor in brushless DC motor drives is presented. The proposed method is based on a single signal measurement, deployed on a Fuzzy Inference System (FIS), and can be implemented on a micro-processor for near real-time diagnosis of the unbalanced positioning of a sensor. The designed FIS was evaluated in a wide range of misplacement angles and its ability to determine both low and high error values was verified. The calculated local and overall accuracy values prove the high performance of the proposed diagnostic method.