3D Airflow-Sensing Flight Control for VTOL Transition Tracking

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current control methodologies for Vertical Take Off and Landing (VTOL) vehicles fail to accurately and safely manage transitions between flight modes due to complex interactions between propellers and wings, often relying on overlapping control systems that do not adequately consider real-time aerodynamic forces.

Innovation Solution

A control system incorporating a trajectory planner, position controller, attitude controller, and force allocation module, utilizing a three-dimensional airflow sensor to generate a composite adaptive force model, which allocates forces to rotors and control surfaces to maintain equilibrium and adjust dynamic positions during transitions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If overlapping control systems are used for transition between flight modes, then the vehicle can switch between VTOL and fixed-wing modes, but the control accuracy deteriorates due to complex interactions between propellers and wings

Engineering Contradiction:
Improveflight mode transition capabilityVSAvoidcontrol accuracy
Core Design Contradiction:
Adaptability or versatilityVSManufacturing precision

Solution Approach 1:

The patent implements a dynamic transition strategy where the controller automatically adjusts control parameters based on real-time flight conditions and aerodynamic force measurements. The system transitions from static overlapping control to dynamic adaptive control, where the force allocation module continuously modifies rotor and control surface commands to compensate for changing aerodynamic interactions during mode transitions.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes control parameters dynamically during transition by using airflow sensor data to detect aerodynamic forces and adjusting the force allocation to rotors and control surfaces accordingly. This allows the controller to adapt gain schedules and control surface deflections based on actual aerodynamic conditions rather than relying on fixed overlapping control parameters.

Inventive Principle:
Principle #35Parameter changes

2Adaptability or versatility

If typical transition methods are used, then the vehicle can move between flight modes, but the control precision deteriorates due to over or under compensating one mode for the other

Engineering Contradiction:
Improveflight mode transition capabilityVSAvoidposition tracking accuracy
Core Design Contradiction:
Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent incorporates real-time feedback from three-dimensional airflow sensors that measure aerodynamic forces acting on the vehicle. This feedback is fed to the force allocation module, which adjusts rotor and control surface commands to maintain accurate position tracking during transitions. The system continuously compares desired versus actual aerodynamic forces and compensates for discrepancies, preventing over or under compensation of flight modes.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system performs preliminary measurements of aerodynamic forces using airflow sensors before and during transition initiation. This allows the controller to pre-adjust control parameters and force allocations to anticipate aerodynamic changes, rather than reacting to position errors after they occur, thereby maintaining higher tracking accuracy throughout the transition process.

Inventive Principle:
Principle #10Preliminary action

3Device complexity

If conventional control systems are used, then the vehicle structure can remain simple, but the control reliability deteriorates during transition phases due to inadequate consideration of real-time aerodynamic forces

Engineering Contradiction:
Improvecontrol system structureVSAvoidtransition phase safety
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The patent integrates a three-dimensional airflow sensor module that serves multiple functions: measuring aerodynamic forces, detecting flight mode transitions, and providing feedback for force allocation. This multi-functional sensor approach enhances reliability during transitions without proportionally increasing system complexity, as a single sensor module performs what would otherwise require multiple separate measurement systems.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This solution enables more precise and accurate control of VTOL vehicles during transitions by accounting for real-time aerodynamic forces, reducing transient overshoot and improving tracking capabilities, thus enhancing the safety and efficiency of flight maneuvers.

Implementation Method 1

a three-dimensional airflow sensor module connected to the force allocation module and configured to provide incident velocity airflow data to the force allocation module

Methodology Applied
Scientific EffectAirflow sensing: Pitot Tube

Data Source

PatentUS11733715B2Airflow sensing based adaptive nonlinear flight control of a flying car or fixed-wing VTOL
Publication Date: 2023.08.22 CALIFORNIA INST OF TECH
  • US11733715B2 patent drawing
  • US11733715B2 patent drawing
  • US11733715B2 patent drawing

AI summary

A fixed-wing vertical take-off and landing (VTOL) vehicle configured with a composite adaptive nonlinear tracking controller that utilizes a real-time accurate estimation of the complex aerodynamic forces surrounding the wing(s) and rotors in order to achieve a high performance flight. The method employs online adaptation of force models, and generates accurate estimation for wing and rotor forces in real-time based on information from a three-dimensional airflow sensor. The novel three-dimensional airflow sensor illustrates improved velocity tracking and force prediction during the transition stage from hover to forward flight.