Aircraft Power Plants TRIZ Cases

A resettable frangible link lets operators disconnect a failed autonomous actuator, regain manual control, and reconnect for normal operation.

A resettable frangible link creates predictable actuator breakaway, letting operators override autonomous control and later restore coupling.

Precomputed lateral and longitudinal wind shifts replace repeated trigonometric calculations for faster, accurate aircraft trajectory prediction.

Car-style steering, pedals, and altitude hold simplify UAM flight control while reducing passenger discomfort and motion sickness.

Real-time climb-rate monitoring triggers thrust, control-surface, or landing-gear actions during takeoff to improve obstacle clearance.

Independent processors drive selected aircraft actuators to remove single-point failures and maintain stable flight with lower redundancy cost.

An altitude-adjusted CAS-TAS relationship cuts conversion error on non-standard days while keeping trajectory airspeed estimates computationally light.

AI-derived sensor values let aircraft engine control continue through sensor faults, reducing redundant hardware and maintenance disruption.

Combining symmetric engine-torque modeling with collective pitch differences estimates individual hovering-aircraft rotor torques without sensors.

Potential flight path angle coordinates autoflight and autothrust to keep speed-on-throttle climbs and descents smooth and energy managed.

Sensor-based landing detection shuts down aerial vehicle propulsion automatically, reducing power-off errors, delay, and energy waste.

When a motor fails, the controller shuts down the opposing propulsor and shifts bank-to-yaw priorities to stabilize a canted-hex VTOL for landing.

An inverted deep-stall landing keeps active control during descent, protecting camera payloads from impact while enabling precise UAV touchdown.

Independent processors for each actuator remove single points of failure, helping aircraft maintain stable flight after actuator faults.

Wind-based trajectory adjustment repositions tethered aircraft to balance payload load and cut battery drain during multi-aircraft lifting.

A UAV detects image or sensor mission cues to interrupt its route, run sub-missions, and capture relevant data with less storage and transmission waste.

Payload-detection maneuvers let a VTOL UAV estimate weight, center of gravity, and inertia, then tune control gains for stable flight and landings.

An inner-loop auto-throttle converts flight path acceleration commands into throttle rate changes, improving control in nonlinear regions.

Prioritized control allocation redistributes limited thrust across aircraft actuators to preserve stability during failures and saturation.

Sensor and control-signal oscillation detection adapts aircraft control bandwidth to suppress elastic structural vibration with lower complexity and power use.

Roll-angle-triggered propeller speed profiles counter Dutch-roll turbulence in eVTOL aircraft without added control surfaces.

Acceleration during taxi is matched to reference data to infer engine thrust, improving fuel estimates, emissions tracking, and airport scheduling.

Consistent NADP cues on vertical, altitude, engine, and annunciation displays clarify thrust and altitude transitions and reduce pilot workload.

A calculated thrust resolver angle restricts throttle movement to keep aircraft out of hold mode and maintain preferred flight conditions.

Prioritized pseudo-control allocation keeps under-actuated aircraft stable when actuator failures reduce control authority and cause saturation.

Adjustable motor arms and propeller positions let a UAV switch in flight between agile compact flight and more power-efficient cruising.

Multiple smaller UAVs couple into one aircraft to carry heavier payloads farther while avoiding the weight and power penalties of a larger drone.

A flight controller checks remote pilot authority and blocks unsafe or noncompliant autopilot commands in electric aircraft.

Measured flight characteristics update the aircraft energy state model to correct weight, icing, and wind effects in performance prediction.

Coordinated rear thrust and tail-wing control offsets pitch moment and drag, keeping lift and posture stable during mode transition.

When rotor power is limited, thrust-margin selection caps vertical control to preserve attitude control and support safer UAV landing.

Variable climb thrust follows a planned trajectory to cut turbine gas temperature, reduce engine wear, and limit fuel and time penalties.

An improved virtual actuator enables smooth aero-engine fault reconfiguration without overshoot or oscillation, while preserving control targets.

Multiple smaller UAVs couple into one transport unit to carry heavier payloads farther while lowering energy use and avoiding oversized single-aircraft designs.

A variable acceleration-rate profile changes tiltrotor rotor speed between flight modes to limit transient torque loads and smooth component stress.

Wind-based trajectory adjustment shifts upwind and downwind aircraft around the payload axis to balance lift and reduce battery use.

Combining wind sensing, acceleration, and propulsive force estimation helps small moving bodies detect wind influence and maintain stable control.

Machine-learning flight guidance helps eVTOL pilots handle complex modes by predicting flight paths and displaying recommended maneuvers.

Precomputed lateral and longitudinal air-mass offsets cut onboard trajectory prediction load while preserving wind-corrected accuracy.

Acceleration and propulsion data are used to estimate wind force, improving moving body attitude control and stability in changing wind conditions.

When rotor power is limited, this case shows how thrust-margin selection constrains vertical control to preserve attitude control for safe UAV landing.

Separating sensors from interference-generating electronics and pre-configuring components improves multi-rotor UAV reliability and safety.

Dynamic clearance control de-rates cruise thrust and widens tip gaps during throttle advances to cut leakage without blade-shroud contact.

In-flight propeller repositioning lets a UAV shift between compact maneuverability and extended energy-efficient flight.

High-frequency wind sensing with pre-mapped actuator commands improves aircraft hovering stability and positioning in turbulent loading phases.

Timestamped simulator logs let engineers rewind and step through AI quadcopter flight events to isolate piloting code errors faster.

Converts flight path acceleration error into throttle rate commands, helping pilots manage aircraft acceleration without drag-dependent control.

An asymmetric integrated airspeed error model adapts throttle reference in real time to handle changing landing weather and reduce pilot input.

Dynamic energy meeting points and joining profiles help pilots anticipate dissipation needs and avoid cockpit information overload.