Flight Path Control Across Modes and Environmental Constraints
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Solution Overview
Problem
Current flight control systems for aerial vehicles fail to determine optimal flight paths that consider environmental factors and operation modes, leading to suboptimal performance in terms of cost, noise, and obstacle avoidance.
Innovation Solution
A flight control apparatus that uses environmental information and parameter variations to determine an optimal flight path among candidate paths, incorporating modes such as comfort, express, and eco modes, while managing energy distribution between battery and fuel cell systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a flight control apparatus determines optimal flight paths based on environmental information and parameter variations for each operation mode, then flight efficiency and cost are improved, but the system complexity increases
Solution Approach 1:
The patent applies parameter changes by adjusting flight path parameters (altitude, speed, route) based on operation modes and environmental conditions. The system modifies parameters such as climb rate, cruise altitude, and descent angle according to comfort mode, express mode, or eco mode selections, enabling optimized flight paths without requiring complex hardware modifications.
Solution Approach 2:
The system implements dynamics by making the flight control system adaptive to changing conditions. It dynamically adjusts flight parameters based on real-time environmental information and selected operation modes, allowing the system to respond flexibly to different flight scenarios while maintaining a relatively simple underlying architecture.
2Reliability
If the system considers multiple environmental factors (cost, noise, obstacles) in path determination, then flight performance is improved, but the computational complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the flight control function into distinct operation modes (comfort mode, express mode, eco mode), each with specific parameter sets. This segmentation allows the system to handle multiple environmental factors through predefined mode-specific strategies rather than requiring complex real-time optimization across all factors simultaneously.
Solution Approach 2:
The system uses parameter changes to manage computational complexity by pre-defining parameter sets for different operation modes. Instead of computing optimal paths considering all environmental factors simultaneously, the system selects from pre-configured parameter combinations based on the chosen mode and environmental conditions, reducing real-time computational burden.
3Use of energy by moving object
If the apparatus manages energy distribution between battery and fuel cell systems, then energy efficiency is improved, but the control system complexity increases
Solution Approach 1:
The patent applies dynamics to energy management by dynamically adjusting the power distribution between battery and fuel cell systems based on flight phase and energy requirements. The system adaptively controls which power source is active during different segments of flight (takeoff, cruise, descent, landing), optimizing energy efficiency through real-time adjustments without requiring a completely new control architecture.
Data Source
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AI summary
The present disclosure relates to a flight control apparatus, a system including the same, and a method thereof. An example embodiment of the present disclosure provides a flight control apparatus, including: at least one processor, and memory storing instructions that, when executed by the at least one processor, cause the flight control apparatus to determine, based on environmental information and based on variations of a parameter for each operation mode of an aerial vehicle, a flight path among at least one candidate path associated with a destination for the aerial vehicle.