Motor Parameters Estimation/Adaptation TRIZ Cases

Stored torque tester data lets an electric tool compensate force-multiplier wear and manufacturing error to avoid over-tightening or loosening.

By measuring motor resonance after power-off and storing it for restart, the controller keeps hair clipper blade drive near peak efficiency.

Frequency-response measurement lets motor servo control set the highest safe rigidity faster, reducing adjustment time and avoiding oscillation damage.

Dynamic switching between flat and normal PWM cuts inverter losses while preserving precise torque and managing thermal load.

Closed-loop speed feedback and virtual damping estimate motor inertia and friction accurately, reducing tuning complexity and rotor risk.

External correction data compensates motor speed and torque ripples from cogging and tolerances without added encoder storage.

By calculating load power from both voltage and current, this case improves motor drive power limiting when motor voltage varies.

Calibrated loss and switching-power models estimate motor-controller DC current from bus voltage without large efficiency tables.

Position-feedback mode switching lets one actuator control integrated stator windings, reducing power modules and control complexity.

Closed-loop excitation and virtual damping reveal motor inertia and friction at standstill, improving tuning accuracy without complex FFT processing.

AC frequency injection identifies output filter resonance and motor leakage inductance without disconnecting the filter, cutting setup time.

High-frequency impedance plus induced voltage in air-gap coils enables rotor position and temperature measurement even at standstill.

Load thresholds switch an escalator motor between variable frequency, star, and delta modes to improve energy saving under changing passenger loads.

Phase currents measured at different PWM times are converted to a common reference using fundamental and harmonic components for accurate torque control.

Phase currents are sampled late in the PWM passive state so eddy currents decay, improving low-speed sensorless rotor position accuracy.

Sequential phase-current peak sensing estimates rotor position before rotation, enabling stable sensorless BLDC startup without Hall sensors.

DC current induction calibrates inverter voltage by compensating semiconductor drops and deadtime, improving sensor-less motor control accuracy.

Sensor-driven control adjusts auger, impeller, and traction settings to prevent snow overload, clogging, stalling, and excess battery drain.

Variable floating phase timing lets a sensorless motor controller detect current zero points and Back-EMF more stably under load or voltage changes.

Unsynchronized PWM phase-current samples are converted to a common time by accounting for harmonics, improving torque accuracy and reducing ripple.

A non-linear estimator calculates rotor position from induced voltage deviations in electric motors.