3 May 2018 Survivability: a hierarchical fuzzy logic layered model for threat management of unmanned ground vehicles
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Abstract
Survivability has always been of interest in the defense of any armored vehicles. There has been many reports and papers on the survivability of U.S. Army ground vehicles. A Survivability severity model can be best described as the analogy to the layers of an onion, in which each layer of onion describes a different severity level and the phase of threat detected and severity to apply countermeasures. The objective of this paper is to suggest an evaluation tool that contains an algorithm and procedure for the reliability of manned and unmanned ground vehicles. A decision-making system is proposing for the theoretical survivability and is calculated from a threat level in the form of severity. A generic framework algorithm, consists of both linear and non-linear vehicle dynamics systems, and is included in this paper, which consists of the Fuzzy approach and various scenarios, based on straight path projection. Further, to increase the level of rigor, a layered fuzzy control system using various vehicle dynamics parameters [1] and a methodology for designing an adaptive hierarchical fuzzy model [2] and to accommodate various system parameters dependencies, are describing in this paper as a part of the survivability model. It is hoped that different users will tailor this evaluation tool and used extensively by various research workers working in different area. Several probabilistic cases were included in this paper and implemented by converting to linguistic fuzzy parameters to evaluate the algorithm. A simulation model is designed using supervisory fuzzy rule set and several simulation studies have been done which illustrate the effectiveness of the given approach. The result is a robust d flexible control system.
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Shashank Kamthan, Shashank Kamthan, Harpreet Singh, Harpreet Singh, Thomas Meitzler, Thomas Meitzler, } "Survivability: a hierarchical fuzzy logic layered model for threat management of unmanned ground vehicles", Proc. SPIE 10643, Autonomous Systems: Sensors, Vehicles, Security, and the Internet of Everything, 106430W (3 May 2018); doi: 10.1117/12.2304990; https://doi.org/10.1117/12.2304990
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