Vector Control Systems TRIZ Cases
- Motor Control Device Current Phase Map for Vibration Reduction
A motor control device generates d-axis and q-axis current instructions using a torque-dependent map to suppress vibration and sound noise.
- Sensorless Motor Control with Diagnostic Residual Monitoring
A sensorless motor control system estimates position using predictor-observer algorithms and electrical parameters.
- Brushless Starter Motor Control for Voltage Overshoot
A multi-phase brushless starter motor controller determines interim voltage commands based on monitored electrical current.
- Electric Machine Terminal Voltage Control for Freewheeling Transition
A control device adjusts terminal voltage to match expected freewheeling levels before switching modes.
- Motor Control Device Feedback Switching for High Duty Ratio Accuracy
A motor control device switches between calculated control current values to maintain accurate feedback during high duty ratio operation.
- EPS Motor Controller Dead Band Compensation for Noise Reduction
A motor controller uses dead band compensation to reduce operation noise in electric power steering systems.
- Permanent Magnet Motor Flux Observer for Demagnetization Monitoring
Flux observer module estimates magnet flux linkage using motor current and voltage measurements to detect rotor demagnetization.
- Vehicle Inverter PWM Control for Noise and Loss Reduction
Dynamic carrier frequency adjustment resolves the trade-off between motor noise and heat generation.
- Sensorless Synchronous Motor Drive Using Neutral Point Potential
A synchronous motor drive estimates rotor position by detecting neutral point potentials during PWM switching cycles.
- Motor Control Device Voltage Vector Correction for Flux Estimation
A motor control device corrects specified voltage vectors to suppress magnetic flux linkage estimation errors in single shunt current detection systems.
- Electric Motor Control Using Composite Angle for Field Weakening
A composite angle combining rotor position and pilot control optimizes electric motor modulation.
- AI Processor for Electric Vehicle Control Adaptability
An AI processor generates tailored control signals for electric components, resolving the trade-off between device complexity and user-specific adaptability.
- Electric Machine Controller Flux Weakening Six Step PWM Transition
Dynamic voltage limit adjustment during six step PWM transitions eliminates torque bumps and improves drivability.
- Electric Vehicle Controller LC Resonance Suppression
Controller adapts switching patterns based on motor rotation speed to suppress low and high order LC resonance while reducing switching loss.
- Sensorless Rotor Position Detection via Inductance Monitoring
Inductance-based detection eliminates high-current pre-positioning, resolving startup torque issues and vibration in sensorless motor control.