Wind Motor Control TRIZ Cases

Dynamic air flow modifying elements adjust exposure to mitigate vortex and stall induced vibrations while reducing installation damage risks.

Independent rib rotation reduces inertia and response time while flexible skin prevents turbulence.

A wind turbine controller switches pitch characteristics to manage wake loads.

A line side crowbar circuit detects overvoltage events and diverts excessive current to protect wind turbine components.

Segmented classification models and preliminary training resolve contradictions between analysis reliability and device complexity.

A programmable logic controller monitors SCADA status to maintain windfarm power output within set parameters during system outages.

Centralized control merges decentralized wind farms into a single source, resolving interference issues and enhancing grid stabilization reliability.

Wind turbines share sensor data through transfer curves to maintain operation during failures.

A fixed displacement pump paired with a proportional bypass valve regulates continuous fluid flow.

Fiber optic sensors measure wind speed along turbine blades to mitigate flow separation and optimize performance in harsh environments.

Centralized coordination of turbine outputs resolves reliability and complexity trade-offs in wind parks.

A wind turbine blade pitch driving plate integrates the preconing angle into its structural faces to reduce component count.

Extendable air deflectors on rotor blades counteract excessive loads from wind gusts by altering airflow, preventing component damage.

Hierarchical multi bandwidth voltage controllers stabilize grid connection in weak grids by balancing fast local response against aggregate system stability.

External damper units attached to tower sections reduce vortex-induced vibrations, expanding the weather window for safe construction at higher wind speeds.

A wind turbine yaw drive incorporates a releasing unit with a gearbox and stopper to disengage drive force.

Segmented pitch control prevents negative stall at the outboard region, reducing drag and extending operational wind speed range.

A turbine mechanism with stepless variable-angle blades adjusts impact orientation to maximize fluid energy interception.

Depression collects leak oil while seal member prevents escape, resolving foreign object intrusion risks.

A floating wind turbine structure limits blade-to-sea clearance to reduce tower height and foundation weight.

Pressure sensor correlation detects rotating stall conditions and triggers corrective fuel scheduling actions.

A wind turbine uses pivotable blades and an annular shroud to capture kinetic energy from the hub.

A wind turbine control system adjusts operating modes to align residual lifetimes across a farm.

Event counters track threshold exceedances in wind plant controllers to prevent saturation during voltage fluctuations, ensuring stable grid integration.

A vertical spiral stator funnels wind into rotor blades to improve energy conversion efficiency while protecting the turbine from strong winds.

Local aerodynamic actuators modify blade lift to optimize power coefficients in sub-nominal wind speeds, resolving fixed-design inefficiencies.

An integrated testing unit monitors hydraulic fluid pressure and temperature to detect accumulator degradation without stopping the turbine.

Variable speed wind turbine control adjusts rotor rotational speed based on detected erosion risk conditions and accumulated blade damage.

A virtual wind power farm controller groups generator simulators to test SCADA stability before deployment.

A control arrangement limits auxiliary motor speeds to stay within a predetermined noise budget.

Counter-rotating stator and rotor blade assemblies limit maximum rotational speeds during extreme wind conditions without adding mechanical brake systems.

A wind turbine blade features an articulated tip that adjusts its aerodynamic profile during rotation to optimize lift generation.

A wind turbine control system adjusts rotor speed to avoid calculated edgewise vibration zones.

A wind power generation device uses an aerofoil to adjust tension on a piezoelectric film for stable vibration.

Controller activates multiple generators to manage torque, eliminating gearbox failures and braking energy loss.

Comparing monitored yaw angles against control signals detects unintended rotation, preventing energy loss and mechanical overload.

A wind turbine controller calculates an operating threshold using a continuous function based on meteorological data.

Turbine controller transitions ancillary systems to uninterruptible power supply while maintaining primary system operation.

A LIDAR sensor measures upwind wind dynamics to generate individual blade pitch commands that preemptively adjust rotor angles.

Rotating deflectors create sheltered regions behind Savonius turbine blades, reducing drag while enabling urban integration without complex infrastructure.

Membrane strips detect pressure deflection to determine angle of attack, reducing fatigue loads and fluid flow interference.

Power plant controller limits negative active power to reduce operational losses while maintaining grid connection reliability.

A wind turbine controller adjusts rotor blade pitch using calculated torsion data derived from operational parameters.

A wind farm system calculates wake losses by comparing estimated freestream power against actual measured output.

Spatio-temporal coupling in the uncertainty set reduces model conservativeness and improves calculation efficiency for optimal dispatching.

A thrust-based wind turbine wake control system adjusts rotor speed to steer fluid flow trajectories, reducing adverse loads on downstream turbines.

A vertical wind turbine adjusts independent blade pitch angles to maintain a constant tip-speed ratio during operation.

Dynamic electronic keys prevent grid failures by evaluating real-time power values before granting control access.

Diagnostic module segments frequency spectrum to distinguish lubrication vibrations from tower oscillations, enabling accurate yaw system health determination.

A machine learning model estimates wind direction using deflection sensor data from a rotor-nacelle assembly.