VTOL Position Guidance via GUI Objectives and Adaptive Flight Plans

The patent introduces a guidance controller as an intermediary system between the pilot and the VTOL aircraft's flight control. This controller receives pilot input objectives, automatically generates detailed flight plans considering environmental obstacles, and provides real-time guidance commands. This intermediary system resolves the contradiction by automating complex positioning tasks (improving productivity) while maintaining simple pilot interaction through objective-based control (maintaining ease of operation).

The system implements continuous feedback loops where the guidance controller monitors aircraft position, compares it with the generated flight plan, and provides real-time corrective guidance. The system also feedbacks guidance quality metrics to the pilot, allowing for adaptive adjustment. This feedback mechanism enables efficient automated positioning while keeping the pilot engaged and in control, resolving the productivity-ease of operation contradiction.

The guidance system is segmented into distinct functional modules: objective processing module, flight plan generation module, guidance computation module, and display module. Each module handles a specific aspect of the guidance task, making the overall complex system manageable and maintainable. This segmentation allows high navigation accuracy through specialized algorithms in each module while organizing system complexity into manageable, modular components.

The flight plan generation is dynamic and adaptive, automatically adjusting the guidance path based on real-time environmental data and obstacles. The system dynamically recalculates flight plans when conditions change, providing adaptive navigation accuracy. This dynamic approach handles complexity through algorithmic adaptability rather than static complex configurations, resolving the accuracy-complexity contradiction.

The system performs preliminary actions by pre-processing environmental data and pre-generating multiple potential flight paths before they are needed. When obstacles are detected, the system can quickly switch to pre-computed alternative paths rather than calculating from scratch. This preliminary preparation maintains high safety through comprehensive obstacle avoidance while reducing real-time computational response time.

The guidance system changes parameters by adjusting flight plan variables (altitude, speed, path coordinates) in real-time based on obstacle proximity and type. Rather than complete recalculation, the system modifies key parameters of the existing flight plan to achieve safe avoidance maneuvers. This parameter-based adaptation maintains safety while significantly reducing computational response time compared to full replanning.