Model-based sensor fault detection to brushless DC motor using Luenberger observer

Fault detection (FD) techniques play a crucial role at increasing the reliability, maintainability and safety for engineering applications. Meanwhile, Brushless Direct Current (BLDC) motor is a main integrated part for engineering systems in several mechatronics and robotics applications. Therefore, this work presents a model-based sensor FD approach. The proposed approach is tailored for detecting speed sensor faults at BLDC motor through exploiting Luenberger observer. Several experiments are conducted in order to validate the performance of the proposed approach. During the conducted experiments different faults types are applied to the motor in order to test the proposed FD approach. The experimental results demonstrate the ability of the proposed approach to detect the time and size of the sensor faults.