Vehicle Maneuver Control Model Selection for Missile Avoidance

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Solution Overview

Problem

Current vehicle management systems with artificial intelligence assistance lack reliability in controlling vehicle functions, particularly in dynamic scenarios like missile avoidance, where multiple models are not effectively utilized to enhance mission success.

Innovation Solution

A vehicle management system with a missile avoidance system that employs multiple control models, each trained for different scenarios and conditions, where a maneuver control unit and missile avoidance management unit select the most appropriate model based on real-time data from sensors and external sources to generate and execute control commands.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a single control model is used in the vehicle management system, then the device complexity is reduced, but the reliability of vehicle control decreases

Engineering Contradiction:
Improvereliability of vehicle controlVSAvoiddevice complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The control model is segmented into multiple specialized control models (first control model, second control model, etc.), each trained for specific scenarios or conditions. The missile avoidance management unit segments the decision-making process by selecting which control model to activate based on current operating conditions. This segmentation allows each control model to specialize in particular situations, improving overall reliability without requiring a single overly complex model to handle all scenarios.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system dynamically selects and activates different control models based on real-time operating conditions. The missile avoidance management unit continuously monitors the current state and dynamically switches between control models as needed. This dynamic adaptation allows the system to maintain high reliability across varying conditions while keeping individual control models relatively simple and manageable.

Inventive Principle:
Principle #15Dynamics

2Adaptability or versatility

If multiple control models are deployed to handle different scenarios, then the adaptability of the vehicle management system improves, but the device complexity increases

Engineering Contradiction:
Improveadaptability to different scenariosVSAvoiddevice complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system segments the adaptability requirement into multiple specialized control models, each optimized for specific scenarios (e.g., different missile types, environmental conditions, vehicle states). This segmentation allows the system to adapt to diverse scenarios while keeping each individual control model focused and manageable, rather than requiring one monolithic complex model to handle everything.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The missile avoidance management unit acts as an intermediary between the multiple control models and the maneuver control unit. It receives input data, determines the appropriate operating conditions, selects the suitable control model, and manages its activation. This intermediary layer provides a clean interface that manages the complexity of having multiple control models without exposing that complexity to the rest of the system, thereby maintaining adaptability while controlling overall system complexity.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Reliability

If a single control model is used, then the ease of operation is maintained, but the reliability of mission execution decreases

Engineering Contradiction:
Improveprobability of successful mission executionVSAvoidease of operation
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The control system performs self-service by automatically selecting and activating the appropriate control model based on the current operating conditions. The missile avoidance management unit monitors the situation and autonomously determines which control model to use without requiring manual intervention. This self-service mechanism maintains ease of operation while improving mission execution reliability through the use of multiple specialized control models.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system dynamically adapts its behavior by automatically switching between control models based on real-time conditions. This dynamic selection process occurs autonomously without requiring operator intervention, maintaining ease of operation. Meanwhile, the ability to dynamically select the most appropriate control model for current conditions significantly improves the reliability of mission execution compared to using a single static control model.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentEP4492177A1Vehicle management system for controlling at least one function of a vehicle
Publication Date: 2025.01.15 AIRBUS DEFENCE & SPACE GMBH
  • EP4492177A1 patent drawingFigure 1
  • EP4492177A1 patent drawingFigure 2~3
  • EP4492177A1 patent drawing

AI summary

A vehicle management system (10) includes a missile avoidance system (11) that generates command for controlling at least one function of a vehicle. The missile avoidance system (11) includes a maneuver control unit (100) and a missile avoidance management unit (50). The maneuver control unit (100) includes at least two control models. Each of the at least two control models generates the command for controlling the at least one function of the vehicle (1), and each of the at least two control models can be selectively put in an active state or an inactive state. The missile avoidance management unit (50) selects one of the at least two control models and putts it in the active state. The maneuver control unit (100) outputs the command for controlling the at least one function of the vehicle (1) provided by the control model that is in the active state.