STO-Activities: (no title)
Activity title:
Dynamic Reconfigurable Mission Planning for Improved Readiness of Autonomous Military Vehicles
Activity Reference:
AVT-382
Panel:
AVT
Security Classification:
NATO UNCLASSIFIED
Status:
Active
Activity type:
RTG
Start date:
2024-01-01T00:00:00Z
Actual End date:
2026-12-31T00:00:00Z
Keywords:
artificial learning and reasoning, data assimilation, digital twins, multiphysics modeling, multisource information fusion, Onboard sensing and computing, realtime datatodecision, reliability assessment
Background:
The core background to the activity proposed for this Research Task Group (RTG) is given by the work conducted under the AVT-355 Research Workshop on “Intelligent Solutions for Improved Mission Readiness of Military UxVs” and the specific follow-on activity AVT-ET-217 on “Dynamic Reconfigurable Mission Planning for Improved Readiness of Autonomous Military Vehicles”. The activity under AVT-ET-217 was motivated by the outcomes and the recommendations from the AVT-355 Working group #3 (WG#3) which identified Dynamic Reconfigurable Mission Planning (DRMP) as one of the key enabling technologies for extending the maintenance-free operating period of a vehicle and potentially increasing the mission effectiveness. Specific themes addressed by the working group included (i) What are the technologies required to enable damage-adaptive and/or degraded state maneuver? (ii) How is a mission profile optimized to maximize operational time? How are systems on UxVs reconfigured to maximize remaining reliability? (iii) For UxVs operating with limited forward resupply, how do mechanical/electrical power plants reconfigure to sustain operation?
Successful development and implementation of DRMP technologies require (1) mathematical models for a clear understanding of Common Operational Picture (COP) relation within mission goals and UxVs coordination (2) improved multidisciplinary computational models that include system interaction between primary structures, vehicle control, actuators, and the propulsion systems; (3) high speed onboard computational capabilities to perform real-time vehicle health and capability assessment, scenario simulations, rapid planning, and execution of dynamically feasible operations (maneuvers) for safe recovery; and (4) specific integrated sensors technologies for the addressed configurations and operations, with particular attention to reliability and durability of the measures. Different needs and priorities emerged for the air, sea and ground platforms which also motivated the need for further studies and more detailed assessment. DRMP capabilities are expressed over the time-frame of a mission, and are different from traditional maintenance technologies and conventional strategies which rather relate to the operational life of systems and vehicles. However, DRMP technologies complement maintenance approaches towards major improvements on vehicle operation and mission readiness.
These elements distinguish the focus of the activity of ET-217 from the focus of the companion topics addressed under AVT-ET-219 “Maintenance Modeling in UxV Design for Improved Readiness and Endurance” and follow-on activities. At the same time, synergies between the two efforts are acknowledged: the liaison between the two efforts is planned to continue with the follow-on activities. This activity proposal follows the recommendations from the AVT-ET-217 to address and expand the aforementioned themes through a Research Task Group dedicated to Dynamic Reconfigurable Mission Planning for Improved Readiness of Autonomous Military Vehicles.
Objectives:
The goal of the activity proposed for this Research Task Group is to conduct cross-disciplinary discussions about the body of knowledge and technologies required to enable advanced dynamic reconfigurable mission planning capabilities for air, sea and land military platforms. To achieve this goal the following themes will be considered: (i) mathematical methods for the COP modeling (understanding) in context of UxV mission goals setting, (ii) determining/assessing residual vehicle capabilities and enabling intelligent behavior, primary maneuver planning and execution; (ii) developing adaptive control architectures, theory and methods for understanding the complex dynamic behavior in the presence of structural damages, systems faults, failures of sensors and actuators, off-nominal or abnormal operating conditions; (iii) enabling high-speed onboard computations to perform real-time scenario simulations, maneuver planning and execution under system degraded conditions; (iv) assessing sensors systems information integrity.
The development of DRMP capabilities will be considered along two (nonorthogonal) directions: (a) DRMP based on state awareness from system to vehicle and from vehicle to fleet; and (b) DRMP based on situational awareness integrating system state and complex operational scenarios. The two directions are expected to pull different requirements for sensing technologies, responsiveness, decision objectives and criteria. The activity will be closely coordinated with the follow-on effort from ET-219 “Maintenance Modeling in UxV Design for Improved Readiness and Endurance” which will focus on modeling and decision making in the design phase of military vehicles, including therefore design aspects relevant to operations and maintenance, such as ensuring onboard data-to-decision hardware and software components and systems are effectively integrated for maintenance and operational use. The expected product will be a technical report. The anticipated duration of the effort is three years.
Topics:
The proposed Research Task Group will cover the following scientific areas:
(1) Digital twins, active learning and integrated sense-infer-plan-act paradigms as enablers of dynamic reconfigurable mission planning.
(2) Artificial reasoning, machine learning, big data, and scientific computing to estimate vehicle evolving/residual capabilities from sensor data and support intelligent maneuver planning.
(3) Multidisciplinary multifidelity modeling, model reduction, data assimilation for real-time diagnostics, prognostics, and reliability assessment.
(4) Multisource information fusion and virtual sensing for the understanding of system behavior under abnormal operating conditions and malfunctioning of onboard sensing and actuation equipment.
(5) Uncertainty quantification, rare events characterization, risk assessment to assist intelligent maneuver planning from onboard measured data.
(6) Sensing technology including reliability and durability of sensors, integrability, electronic components for control of measurement, signal processing, data transmission, powering (including harvesting technologies), etc.
(7) Awareness and assessment modeling of the operational environment, multi-criteria objective function development.
(8) Control methods for risk adaptive maneuver, load alleviation, and energy management.
(9) Other scientific and technology areas of potential relevance to the topic as per indication of the panel members.
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Created at 18/10/2022 14:00 by System Account
Last modified at 16/05/2024 05:00 by System Account
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