A Novel Approach to Energy-Optimized Variable-Speed Sensorless-Based Brushless DC Motors (BLDC) Control for Automotive Wiper Applications

In this work, a new energy-optimized brushless DC motor (BLDCM) control algorithm is designed to enhance the system response during dynamic period for automotive applications. In the conventional sensor-based control, the reliability of the system is decreased with additional components and increased maintenance. Generally, the motor input voltage is sensed for the conventional BLDCM which is the widely used sensor-based control, using this method an accurate rotor position is not achieved at lower motor speeds. To improve the rotor position measurement, an observer-based state is added in the proposed sensorless-based BLDCM system. The proposed sensorless observer-based energy-optimized design is verified in MATLAB/Simulink for the BLDC wiper motor for automotive application. The observed results in MATLAB/Simulink validate the efficacy of the observer-based state estimation technique in terms of rotor position estimation and hence improved the dynamic performance of the BLDCM drive system.