Wind Motor Control TRIZ Cases

By comparing turbine operation history with plasma on and off, this case separates blade flow separation from wind changes for precise control.

Abrupt shifts in converter available power expose wind turbine faults, enabling safe operating modes while keeping the turbine online.

Using different time constants for grid voltage rises and drops, this control approach stabilizes DC-link voltage in soft grids.

Multiple subsystem approvals and tamper-proof records let wind plants validate operating commands and attribute responsibility.

Grid voltage and frequency feedback coordinate turbine restart timing, preventing chaotic reconnection and stabilizing windfarm power delivery.

By pre-charging rotor kinetic energy and adjusting torque, the turbine delivers fast extra power to stabilize grid frequency after disturbances.

A farm controller lets turbines temporarily exceed local active power limits while the wind farm stays within grid connection point ranges.

Non-uniform power recovery after grid faults helps wind turbines restore output quickly while limiting rotor vibration, overspeed, and power overshoot.

Splitting grid signals into partial frequency bands helps converter-based feed devices detect and damp low-frequency oscillations without disrupting grid support.

Multiple proximity sensors and pulse edge timing compensate for misalignment and vibration to estimate rotor speed, azimuth, and direction.

Adaptive active and reactive power control helps wind farms detect and damp subsynchronous grid oscillations under changing network conditions.

A geared flywheel and adjustable electrical load tune counter-torque automatically, cutting vibration without bulky linkages or disassembly.

A control context table assigns turbine-specific power limits to hold group output at the grid point without oscillation or slow response.

Airflow turbines and generators convert driving air into DC power to recharge vehicle batteries or fuel cells while moving.

Estimated mechanical torque is checked against implausible thresholds to catch wind turbine drivetrain faults early and trigger shutdown before damage.

Active power curtailment lets a wind power plant meet grid reactive power demands during grid events without relying on costly STATCOMs.

Pressure sensing inside a wind turbine damper detects leaks early and idles the rotor to prevent unsafe operation and excess wear.

A rotating labyrinth collector separates air from hydraulic fluid in wind turbine pitch systems, easing de-airing and offshore maintenance.

Opposed spring devices mount the wind turbine gearbox housing to distribute loads evenly and improve vibration resistance with fewer parts.

Real-time vibration feedback varies the rotor speed exclusion zone to avoid tower resonance while limiting wind turbine power loss.

Variable magnetic fields damp wind turbine vibrations across multiple frequencies, cutting tonal noise without bulky mechanical dampers.

A removable centerpiece decouples the brake disc from a spinning yaw shaft, enabling safer service mounting and stable braking in extreme winds.

Combines reliability and time-series data in conditional survival models to predict wind turbine component failure risk and guide maintenance.

Replaceable linings, visual wear gaps, and grease zerks help wind turbine brake units cut maintenance and prevent friction damage.

A DNN predicts target turbine power from correlated array turbines, detecting 0.5% performance loss without wind speed sensors.

Allocating overboost capacity across turbines and staggering recovery helps wind farms meet demand while limiting wear and stabilizing grid frequency.

SCADA-based wake prediction updates turbine interaction models in real time to improve wind farm energy output with lower computing cost.

A clutch, synchronization brake, and differential gear let the motor sync to the grid unloaded, cutting startup current while delivering high torque.

A second proportional valve lowers rod-side pressure on demand, combining efficient regenerative pitch control with stronger peak load response.

A deformable secondary pinion removes gear backlash in a wind turbine pitch assembly, limiting micro-pitching and pitch bearing damage.

A compensation signal corrects encoder distortion in wind turbine generator shaft sensing, improving position accuracy and control stability.

Multi-agent reinforcement learning coordinates turbine actions under changing wind and wake effects to raise farm energy output and limit fatigue.

Reoriented torque arms around the drivetrain axis free walkway and handling space while keeping torque transfer in a more compact wind turbine nacelle.

Suspended weights on the tower flange shift wind turbine eigenfrequency to widen frequency separation and reduce resonance risk.

A deformable secondary pinion removes gear backlash in a wind turbine pitch assembly, reducing micro-pitching and pitch bearing damage.

Grid frequency events trigger shaped wind turbine power setpoint corrections that stabilize output without coupling to mechanical oscillations.

Tracks gearbox meshing angle from shaft positions and topology, avoiding internal sensors while enabling tonal noise reduction in wind turbines.

Hydraulic macro control with pneumatic micro adjustment replaces complex CVT mechanics to stabilize turbine generator speed and store energy.

Reinforcement learning replaces fixed cut-in thresholds with control actions based on wind, turbulence, temperature, and air density.

AI-tuned controller parameters adapt blade pitch, braking torque, and heating to icing states, improving wind turbine power and load control.

Multiple turbines share local wind data to build a consensus yaw target, improving power output while reducing misalignment and wear.

A second proportional valve manages rod-side pressure so wind turbine pitch drives stay efficient in normal operation and gain force reserve under peak loads.

Valve-controlled bypass and pressure-line circulation warms hydraulic fluid by friction, reducing cold-start pump load in wind turbine pitch systems.

High-speed control signal analysis identifies pitch bearing anomalies early, enabling targeted maintenance and less wind turbine downtime.

A top-installed yaw brake sleeve assembly enables secure field replacement from the bedplate top side, cutting downtime and crane-heavy repairs.

Measured backlash at a shared ring gear reference guides drive-device alignment, balancing loads and extending wind turbine drive life.

Real-time power pairs across low and high ranges calibrate BoP estimator parameters, improving internal power loss estimation.

Multiple predictive models and a consolidation model identify actual root causes of power asset anomalies, cutting diagnostic time and downtime.

Multiple ML models tune blade pitch and rotor speed under changing wind conditions to raise output while limiting maintenance costs.

Alarm event timestamps are cross-checked with operational time counters to catch transmission errors and improve wind turbine reporting accuracy.