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A simplified situational environment risk and system reliability assessment for behavior assurance of autonomous and semi-autonomous aerial systems: A simulation study

机译:用于自主和半自主航空系统行为保证的简化情境环境风险和系统可靠性评估:仿真研究

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Autonomous and semi-autonomous aerial systems (AES) as example of autonomous and semi-autonomous systems (AS) have to perform tasks in complex and dynamic environment, for example in logistics and transportation applications. In this context AS's behavior has to be verifyably safe. Traditionally, behavioral safety aspects are combined with mission-related tasks. The consequence of this combination may be unmanageable system's complexity as well as unpredictable effects during the interaction with the environment leading to inapplicability of traditional safety assurance methods. Furthermore, real-time system's hardware reliability assessment and management are often not considered. This paper introduces a novel simplified real-time environmental situation risk assessment approach to be applied for determination of required situational AS's reliability. Furthermore, the novel real-time AS's hardware reliability assessment and situational hardware structure and behavior control for AS's safe behavior assurance is presented. The introduced approach can verify AS's safe situational behavior by real-time environmental risk assessment and AS's hardware structure and emergency behavior control to minimize the situational risk. A technical proof of concept is given demonstrating the successful use of the introduced approach based on AES and its environment simulation using Virtual Robot Experimental Platform in combination of concept realization using real soft Programmable Logic Controller.
机译:作为自主和半自治系统(AS)的自主和半自治航空系统(AES)必须在复杂和动态环境中执行任务,例如在物流和运输应用中。在这种情况下,随着的行为必须可以安全地安全。传统上,行为安全方面与关联相关任务相结合。这种组合的结果可能是无管理系统的复杂性以及在与环境中相互作用期间的不可预测的影响,导致传统安全保障方法的不适用。此外,通常不考虑实时系统的硬件可靠性评估和管理。本文介绍了一种简化的实时环境局面风险评估方法,用于确定所需情况的可靠性。此外,提出了新颖的实时作为硬件可靠性评估和局势硬件结构以及作为安全行为保证的行为控制。介绍的方法可以通过实时环境风险评估和硬件结构和紧急行为控制来验证为安全的情境行为,以最大限度地减少情境风险。概念的技术证明是通过使用真正的软可编程逻辑控制器组合使用虚拟机器人实验平台的基于AES及其环境模拟来展示介绍方法的成功使用。

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