Perpustakaan Digital ITB

This research aims to advance the understanding of air combat tactics by investigating the integration of Neutral-Advantage-Disadvantage-Mutual Disadvantage (NADM) influence diagrams with fuzzy logic as well as a standard method discussed in references within the context of Unmanned Combat Aerial Vehicles (UCAV) dogfighting scenarios. The primary goal is to evaluate the effectiveness of the NADM-based threat assessment system in comparison to a fuzzy logic-based guidance system, with a particular emphasis on their influence on manoeuvre decisions and positional advantage. Utilizing a MATLAB simulation model, this study employs two distinct methodological approaches: the first involves a standard methodology derived from equations based on aircraft positions and from previous references, while the second incorporates a fuzzy inference method. The simulations are designed to rigorously test and analyse the performance of these methods under various air combat scenarios. The results obtained from the simulations in this study evidently demonstrate the dominance of the fuzzy logic-based guidance system in a three dimensional model, yet a dominance of the standard method in a two-dimensional model based on the systems used and the scenarios simulated. Beyond more optimal trajectories, the fuzzy method consistently outperforms the standard approach in achieving its goals in within air-to-air combat simulations, indicating a remarkable capability to achieve and maintain superior positions in simulated dogfighting scenarios. In conclusion, this research contributes valuable insights into the realm of air combat tactics, providing an understanding of how the integration of NADM and FIS based threat assessment and guidance systems can significantly impact the decision-making processes of UCAVs. The findings enlighten the potential of fuzzy logic in air combat scenarios for advancing autonomous UCAV capabilities.