Wind Motor Control TRIZ Cases

A strain gauge sensor on the drive device bolt measures mechanical load changes to detect abnormal states in wind turbine systems.

A pneumatic safety relief valve discharges pressurized air to prevent overpressure damage in wind turbine rotor blade actuation systems.

A wind turbine control system manages active idle mode by detecting faulty blades and adjusting pitch angles to maintain controlled rotor speed.

A flexible rotor blade incorporates a stiff spar and damper pad to resolve edgewise instability in high-thrust regimes.

A streamlined duct wind turbine uses a rotating pedestal to align the intake port with wind direction.

A wind speed deviation correction model library maps terrain and meteorological influence factors to equivalent factors for adjusting predicted wind speeds.

Adaptive pitch control adjusts rotor blade angles based on real-time power data to prevent stall and increase energy extraction.

Dynamic gain adjustment coordinates adaptive flow and pitch controllers to compensate for flow regulation defects, ensuring safe turbine operation.

A wind turbine control system evaluates internal and external error signals to determine fault likelihood.

A wind turbine control system adjusts pitch angles and generator torque to manage mechanical loads.

A dual forecasting architecture generates and selects wind power predictions using local and remote systems to ensure continuous data availability.

Alternating magnetic poles increase flux density in the gap, resolving low thermal recovery from kinetic energy loss.

A wind turbine dynamic characteristics monitoring apparatus identifies operating models across wind speed ranges to adjust control parameters.

An asynchronous motor with capacitor banks and dump loads controls nacelle rotation without mechanical brakes, reducing maintenance costs.

A wind farm output control device estimates maximum power and distributes control amounts to individual turbines.

Dispatcher prioritizes critical turbine functions like yaw motors during grid loss, optimizing limited backup power allocation while reducing system costs.

A method uses site-specific aeroelastic models to calculate actual fatigue loads on wind turbine components for accurate life assessment.

Segmenting collective and individual pitch control resolves the complexity-adaptability contradiction, enabling vibration-free dynamic adjustments.

Segmenting the pitch system places complex controllers in the stationary nacelle, reducing rotating component fatigue and maintenance costs.

Segmented variable stator blades with distinct profile skeleton lines resolve radial gap flow losses while reducing blade count and weight.

Continuous yaw motor torque minimizes structural load stresses and energy loss from misalignment.

A barrier device with proximal and distal supports modifies airflow around wind turbine blades to reduce structural vibrations.

Centralized frequency conversion system reduces power losses in wind turbine DC connections.

Generator rotation distributes lubricant across wind turbine bearing surfaces, preventing false-brinelling damage.

A vertical wind generator uses a movable fore blade to adjust surface area.

Independent rotor blade pitch control generates upward lift forces to reduce dynamic loads on the support structure, enabling lighter mechanical designs.

A power management module adjusts consumer energy draw by monitoring the wind turbine supply bus voltage level.

Master controller coordinates dual rotors to counteract torque-induced misalignment and reduce energy losses.

A synchronous machine stabilizes grid frequency by coupling a power generation unit to the utility system.

A second turbine expands bleed air to drive a counter rotating generator, replacing heat exchangers and reducing system weight.

A wind turbine control system applies a trained machine learning model to estimate power output and adjust pitch settings.

A wind turbine blade mass change detection system extracts vibration frequencies from azimuthal data to identify icing conditions without structural modifications.

A wind farm control unit detects transient processes and transmits measured values to turbines at an increased clock rate, enabling coordinated grid support.

Segmented turbine calculations resolve the trade-off between measurement precision and control complexity by using local feedback loops.

Elastic connection enables passive blade pitch adjustment via aerodynamic pressure to prevent stall during wind gusts.

A mechanical rotation limit detector uses a pinion and transmission system to monitor toothed ring movement in wind turbine yaw assemblies.

Controller adjusts electric fluid pump speed using predicted flow values to deliver precise clutch fill during vehicle shifts.

A nacelle control system uses bending moment sensors to determine yaw angle from structural wind forces.

A wind turbine blade trailing edge noise reducing device integrates airflow modifying elements with serrations to control local boundary layer dynamics.

A rotor blade pitch control system generates aerodynamic forces to damp edgewise vibrations without adding mechanical mass.

A low-energy auxiliary turbine pre-heats components and charges capacitors, eliminating startup delays after outages.

Drive members rotate fairings to match nacelle yaw, preventing blade contact while suppressing vortex-induced vibrations.

A yaw error detection sensor measures stagnation pressure at two positions along the hub plane, eliminating rotor swirl errors that cause power loss.

A wind turbine control system uses a graphic user interface to set automatic rotational speed profiles for the rotor.

Variable pitch change rates restrict floating body sway by balancing aerodynamic braking force against rotor stability during turbine operation.

Decentralized wind turbine controllers exchange real-time data to bypass centralized processing delays, ensuring swift grid frequency response.

A supervisory controller coordinates wind turbine pitch and grid converter output to resolve frequency fluctuations caused by intermittent wind conditions.

A dynamic reference point shifts untwist operations away from the neutral position, reducing power losses while preserving cable integrity.

A condition monitoring apparatus segments sensor data to estimate rotation speeds and corrects the signals for accurate analysis.