Stability analysis and speed control of brushless DC motor based on self-ameliorate soft switching control methods

In recent years, electric vehicles are the large-scale spread of transportation field has led to emergence brushless direct current (DC) motors (BLDCM), which mostly utilized in electrical vehicle systems. The speed control a BLDCM is subsystem, consisting torque, flux hysteresis comparators, and appropriate switching logic an inverter. Due sudden load torque variation improper pulse, not maintained properly. research, BLDC method gives better way motor. Also, rotor position information should be need for feedback power electronic converters varying pulse width modulation (PWM) proposed optimization work controls device manage supply BLDCM. this self-ameliorate soft (SASS) system simple effective motor technology, strategy intended stabilize at different conditions. SASS analyzing hall-based sensor values continuously. suggested model simulated using MATLAB Simulink tool, results reveal that maximum steady-state error value achieved 4.2, as well speedy recovery BLDCM's speed.