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Utilizing Simulation Technologies in the Development of Autonomous Platforms

机译:在自主平台开发中利用仿真技术

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摘要

The modern combat theater is being populated by an increasing number of unmanned platforms that are operated in a wide variety of missions. These platforms, like manned platforms in joint operations, have to operate in concert as an integrated force. The operation of large numbers of unmanned platforms in a specific mission requires the use of autonomous platforms which can operate without a tight operator control. Such a paradigm enables a single operator (or a small group of operators) to control a large force of unmanned platforms conducting a mission similarly to the HQ command-support that a manned force will be receiving. The need to increase the autonomous capabilities of unmanned platforms operating in an integrated force promotes the development of Semi Automated Forces (SAF) and Fully Automated Forces (FAF). The core technologies required in the development of operational of SAF and FAF are 1. Platform control 2. Sensor control 3. Multi sensor data fusion. 4. Mission management and mission control 5. Learning and adaptive behavior In a "Parallel Universe" Computer Generated Forces (CGF) are used in the Simulation domain to populate a synthetic environment. A current requirement from a synthetic environment is to have it populated with a large number of entities that behave in a sound and coherent manner. This causes a situation in which the number of trainees, exercise controllers and role players is not sufficient to run each entity/platform by a dedicated person and actually a high level of autonomous behavior is required from these CGFs. Therefore modern simulation and Scenario Generation and Animation Systems make use of CGF that are guided by a Combat Doctrine, Mission Directives, and employ autonomous planning and mission management modules. These CGFs are reactive and responsive to the arena in which they operate and perform as SAF and FAF within the synthetic environment. In addition in simulation systems adaptive behavior and learning technologies are used to create realistic changing scenarios that present a more challenging environment for trainees in training systems.The technology used for the development and operation of modern CGF highly resembles that of SAF and FAF. Decision making mechanism developed for CGF can be reused and embedded in Autonomous platforms, as well as learning and adaptive behavior technologies which will enable the SAF and FAF to optimally react to the changing conditions and the opponents' behavior in the real combat theater. Importing technologies from the CGF domain for the development of SAF and FAF provides an advantage as these technologies are already tested and proven in the "actual" management of multiple collaborating entities as are expected to be in the future Battle Theater.
机译:越来越多的无人操作平台可在各种任务中使用,这是现代作战战场的重要组成部分。这些平台,就像联合作战中的有人值班平台一样,必须作为一个综合力量协同作战。在特定任务中要操作大量无人驾驶平台,需要使用自主平台,而这些平台可以在没有严格操作员控制的情况下运行。这样的范例使单个操作员(或一小群操作员)可以控制无人平台的大部队,执行与执行有人值守的HQ命令支持类似的任务。增强在综合部队中操作的无人平台的自主能力的需求促进了半自动部队(SAF)和全自动部队(FAF)的发展。 SAF和FAF作战发展所需的核心技术是1.平台控制2.传感器控制3.多传感器数据融合。 4.任务管理和任务控制5.学习和适应性行为在“并行宇宙”中,计算机生成的力量(CGF)在“模拟”域中用于填充合成环境。合成环境的当前要求是让其填充大量以健全和连贯的方式运行的实体。这导致以下情况:受训人员,锻炼控制者和角色扮演者的数量不足以由专门人员来运行每个实体/平台,并且实际上,这些CGF需要高度自治的行为。因此,现代模拟,场景生成和动画系统利用了以作战理论,任务指令为指导的CGF,并采用了自主计划和任务管理模块。这些CGF对合成环境中的SAF和FAF起作用并发挥作用的场所具有反应性和响应性。此外,在模拟系统中,自适应行为和学习技术还用于创建逼真的变化场景,从而为培训系统中的学员提供更具挑战性的环境。用于现代CGF的开发和运营的技术与SAF和FAF非常相似。为CGF开发的决策机制可以重复使用,并可以嵌入自主平台以及学习和适应性行为技术中,这些技术将使SAF和FAF能够对实际战场中变化的条件和对手的行为做出最佳反应。从CGF领域导入技术以开发SAF和FAF提供了一个优势,因为这些技术已经在多个协作实体的“实际”管理中进行了测试和验证,预计将在未来的战区中使用。

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