Vector Control Systems TRIZ Cases

Hall-sensor vector control lets a brushless DC motor deliver haptic force feedback without force sensors or resolvers, cutting cost and complexity.

Motor coil heating via a reversible PWM rectifier warms the battery during charging, cutting extra hardware and low-temperature charge delays.

A calibrator modifies speed from battery voltage, torque, and motor speed to keep electric motor control accurate within CPU and memory limits.

Dynamic switching between open- and closed-loop motor control helps impact tools reach torque faster without overdriving or stripping fasteners.

Discrete Hall signals from dual magnet tracks deliver high-resolution angle detection at startup while avoiding noisy incremental processing.

Closed-loop motor control adjusts winding current by rotor position to deliver target torque quickly and reduce mower slip during climbs.

Adjusted q-axis gain compensates for discrete-time current control in electric power steering, reducing noise and preserving torque response.

Compensating torque from zero-sequence current suppresses unintended motor torque during battery charging, improving efficiency and preventing vehicle creep.

Periodic position detection errors distort motor speed calculation; this case corrects them with position-based speed compensation.

A dual-mode motor flux estimator switches from current-based low-speed estimation to voltage integration at high speed to reduce inductance error.

Neural-network gain tuning helps steer-by-wire controllers adapt to speed and torque changes, improving steering precision and robustness.

Fixed-duty voltage vectors estimate rotor speed and position after power restoration, enabling SynRM restart without overcurrent or braking torque.

PWM speed reduction keeps back-EMF detectable before inverter short-circuit stopping, limiting current peaks and transistor stress.

During motor backspin, the drive matches flux and speed to electrical losses so generated power runs the drive instead of being wasted as heat.

Reactive power feedback and flux calculation enable stable sensorless synchronous reluctance motor control with fewer motor parameters.

A q-axis-driven d-axis adjustment suppresses field-weakening noise and vibration in electric power steering motors without sacrificing speed response.

By trimming torque when motor countervoltage meets the rectified bus, this case improves power factor and limits torque ripple and winding loss.

Real-time inductance and resistance estimation replaces gain tables, improving electric motor current control accuracy across operating conditions.

Phase-based switching between constant current and vector control lowers power use while keeping transfer member spacing accurate.

A non-zero excitation current before sensorless switchover keeps coil current stable and prevents unstable rotor position and speed detection.

Periodic voltage and current variations map flux curves and differential inductance in synchronous reluctance motors without costly bench tests.

Harmonic test signals and current sensing calibrate electric machine controllers to cut mechanical and acoustic oscillations without torque sensors.

Electrical test signals reveal rotor angle change to calibrate d-q axis orientation and prevent wrong rotation in encoderless drives.

Natural stator current harmonics are filtered and demodulated to estimate synchronous rotor position without sensors or signal injection.

Back-EMF zero-crossing detection switches three-phase motor waveforms automatically to keep fan speed stable while reducing noise and vibration.