Actuated Automatically TRIZ Cases

Span-wise gust segmentation improves aircraft modal suppression by turning inertial sensor signals into control surface commands that damp turbulence vibrations.

A flight-mode-driven detent lets aircraft control levers lock for manual use and move freely during autonomous operation.

Sensors and a flight controller maintain stable electric aircraft control when pilot intervention is limited or unavailable.

A self-locking detent lets aircraft control levers stay constrained in manual flight and move freely through full range in autonomous modes.

Weights unsuitable UAV flight data lower during training, improving automatic piloting accuracy and stability across variable conditions.

During manual flight, sensor-based error metrics drive control surface actuators to hold trajectory setpoints and reduce pilot workload.

A touchscreen flight UI overlays maps, routes, and a guarded emergency stop to simplify autonomous farm drone control for non-experts.

Using wind speed and direction data, the airframe turns nose-first to limit lift interference and improve landing speed and reliability.

Differential port and starboard LFC operation reveals drag imbalance in flight, helping detect clogging and maintain fuel-saving laminar flow.

An independent piloting interface adds backup setpoints to pre-existing aircraft controls, supporting safe single-pilot cargo conversion.

Real-time wind sensing and spray records help an agricultural drone adjust droplet size and flight settings to limit drift near field edges.

Preset auto modes handle takeoff and landing while allowing temporary user input, reducing manual gear and power errors.

A base station uses action-allowable time and 3D danger maps to guide drones toward safer autonomous emergency navigation and landing.

Real-time wind sensing adjusts UAV height, nozzle orientation, and droplet size to cut spray drift near field edges and sensitive areas.

Simultaneous flap and aileron control cuts adverse yaw, improves roll response, and supports spin recovery across VTOL flight modes.

Automatic landing gear control uses flight-condition feedback to retract earlier and extend later, cutting drag, noise, and pilot workload.

Automatic landing gear timing uses flight conditions and control-surface requests to cut drag, noise, and pilot workload.

Uses clearance data to automate supersonic vehicle descent, managing sonic boom limits, weather, and restricted areas.

Blending Visual-SLAM with triaxial sensor estimates by flight position keeps UAV attitude control stable when magnetic or inertial readings are unreliable.

Routes an aircraft to the best landing destination using terrain, obstacle, and merit data for autonomous emergency landing.

Sensing-driven display control shows or suppresses UAV camera images based on whether the operator can visually track the aircraft.

Flight control computers automate rotor tilt angle and rate commands from airspeed, acceleration, and pitch inputs to cut pilot workload.

Modular sensor cores stream analyte data to mapped displays for real-time hazardous plume visualization without sensor downtime.

Dynamic flight-state-based authorization lets one terminal switch control among aerial vehicles, cutting operator load and coordination complexity.

Automatic landing control detects indication signals, lets users adjust attitude or speed in real time, then resumes the preset mode.

A flight control approach turns a tailsitter aircraft into the wind during takeoff or landing to cut form drag, improve stability, and lower power use.

A mobile sub-drone measures wind at different positions and altitudes, helping the main drone adjust flight paths and landing in real time.

LiDAR-based route planning and lens adjustment keep pixel resolution constant when drones image recessed or protruding target surfaces.

Markers carrying movement vectors and fail-safe codes guide indoor autonomous flight without GPS or storing full 3D routes.

Dynamic control-volume limits let multiple aircraft control laws blend smoothly during vertical-to-cruise transitions, avoiding actuator conflict.

By comparing expected and sensed elevator load, this case detects yoke interference early and disconnects auto pitch trim to prevent out-of-trim flight.

Dynamic control-volume limits let multiple flight laws overlap smoothly, avoiding actuator conflict during copter-to-jet transitions.

Spoiler positioning shifts the pressure transition away from the flap to cut high-speed maneuver loads without heavier control surfaces.

Multi-parameter descent detection triggers automatic flap extension to add drag earlier and reduce speed during excess energy steep descents.

Rapid torque modulation from a wing-mounted electric thrust unit cuts wing root bending loads and damps gust-induced oscillation.

Calculates landing-site merit and obstacle-aware routes so an aircraft can complete an emergency landing without pilot intervention.

Tilt sensing and per-rotor thrust adjustment let a UAV stay level and stable when cargo shifts the center of gravity.

Autopilot blade-pitch control lets a hybrid aircraft hover at a set pitch angle, improving pilot visibility while preserving stable position.

Authenticated mode switching activates single-pilot equipment and verifies flight conditions to cut aircraft reconfiguration downtime.

A limited pilot interface paired with autopilot and collision avoidance cuts training needs while keeping urban air taxi flights safe.

Object type and landing-zone position are used to block UAV takeoff or landing only when detected obstacles pose a real safety risk.

Pitch-based rotor tilt control compensates for wind-driven airspeed errors to keep VTOL aircraft stable during hovering and low-speed flight.

A second UAV detects wind ahead of the lead aircraft, cutting response delay and improving trajectory stability in changing conditions.

Spring-loaded control rods return to center while sensor feedback holds flight altitude, reducing crosstalk and pilot workload.

A toroidal duct and retractable control surfaces cut UAV size and mass while preserving vertical take-off, landing, and real-time imaging.

Real-time position tracking updates moving no-fly zones so UAVs can reroute around people, trains, and other ground objects.