Calculated evaluation indexes recommend motor gain values that improve control performance and stability without expert trial-and-error.
Operational sensor data is correlated and fed into a live genset model to predict maintenance needs, cut downtime, and adapt to changing conditions.
Control unit detects generator voltage and motor speed to calculate idle friction torque for precise electric motor operation.
A control circuit predicts expected rotor position angles using a computational model to verify incoming sensor measurements against predefined thresholds.
A compact FPGA-based digital motor controller uses dedicated hardware circuits to process sensor data and generate commutation pulses for brushless DC motors.
A control system determines rotor inductance differences to specify torque-dependent operating trajectories.
A freewheeling circuit converts harmful phase winding energy into useful torque, eliminating large capacitors and extending service life.
A brushless DC machine uses semiconductor switches to form active or passive freewheeling circuits based on current direction.