Impact Reaction Control With Operator Notification for Vehicle Evasion
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Solution Overview
Problem
Existing automated systems for vehicle control, such as aircraft, face challenges in accurately predicting and reacting to potential impacts like missiles, with traditional methods being limited by reliance on numerical integration methods that are slow and resource-intensive, and lacking adaptability to varying operational conditions.
Innovation Solution
An apparatus management system with an impact reaction system that includes an intervention control unit and operator notification unit, utilizing machine learning models to assess and generate commands for avoiding impacts, and a system training device to simulate behaviors and provide computer-readable instructions for operating the system, enhancing situational awareness and adaptability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If traditional numerical integration methods are used for impact prediction, then calculation accuracy can be maintained, but calculation speed is slow and computational resources are excessive
Solution Approach 1:
The patent replaces traditional numerical integration methods (mechanical calculation approach) with neural network-based deep learning models. The neural networks are trained offline to learn complex impact dynamics, enabling real-time prediction without intensive numerical integration during operation, thus achieving both high speed and maintained accuracy.
Solution Approach 2:
The patent performs preliminary training of neural network models offline using extensive simulation data generated through numerical integration. This pre-computation phase stores learned patterns in the neural network weights, allowing rapid inference during actual operation without repeating the computationally expensive integration process.
2Reliability
If automated control systems intervene to avoid impacts, then safety is improved, but operator awareness and control are reduced
Solution Approach 1:
The patent implements a feedback mechanism where the automated impact prediction system continuously provides information to the operator through the user interface. The system displays predicted impact parameters, confidence levels, and recommended maneuvers, allowing the operator to maintain situational awareness while benefiting from automated analysis. The operator can override or adjust system recommendations based on this feedback.
3Adaptability or versatility
If multiple control models are used to handle varying operational conditions, then adaptability is improved, but system complexity increases
Solution Approach 1:
The patent implements dynamic model selection where the system automatically chooses appropriate control models based on real-time operational conditions. Different neural network architectures and parameters are selected depending on factors such as impact type, range, threat level, and aircraft state, allowing the system to adapt to varying conditions without requiring manual configuration or complex hard-coded logic.
Data Source
AI summary
An apparatus management system for controlling at least one function of an apparatus, such as a vehicle, operated by an operator and exposed to a potential impact approaching the apparatus, includes: an impact reaction system, configured for generating a command for controlling the at least one function of the apparatus; wherein the impact reaction system includes: an intervention control unit; and an operator notification unit. The intervention control unit includes at least one control model configured for assessing at least one command for controlling the at least one function of the apparatus to perform an intervention to avoid the impact. The operator notification unit is configured to issue at least one notification to the operator regarding the at least one command. The intervention control unit is configured to output the at least one command for controlling the at least one function of the apparatus subsequent to issuance of the notification.


