Optimization of Fuzzy Logic Based Virtual Pilot for Wargaming

Alexandr Stefek and Petr Frantis
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Alexandr Stefek: Department of Informatics and Cyber Operations, Faculty of Military Technology, University of Defence, Kounicova 65, 662 10 Brno, Czech Republic
Petr Frantis: Department of Informatics and Cyber Operations, Faculty of Military Technology, University of Defence, Kounicova 65, 662 10 Brno, Czech Republic

Mathematics, 2021, vol. 9, issue 24, 1-17

Abstract: This paper deals with the design of an autopilot based on a set of fuzzy controllers. The model of the aircraft that the autopilot controls is defined as a model with 6 degrees of freedom, where the inputs to this model are the settings of the engine thrust (DX), rudder rotation (Dl) and elevators (Dm and Dn). The fuzzy controllers are of the Mamdani type, where the set of parameters defining the controller allow the derivation of membership functions of the input variables and membership functions of the output variables. The parameters of fuzzy controllers are determined by the optimization process. For the purpose of optimization, a fitness function is defined, which derives the simulation parameters from its parameter (vector), and the simulation subsequently performed and evaluated determines whether it is a feasible solution in addition the value of this solution. By this optimization process, the sub-optimal solution is found and is then used to define the settings of the fuzzy controllers and, therefore, the autopilot. This paper contains a description of each step of the solution of the described problem, and with the help of the obtained results, it is determined that the presented procedure allows us to find an autopilot capable of controlling the defined model of the aircraft. In addition, there is a brief description regarding the misconceptions explored during the development of the experiment.

Keywords: autopilot; fuzzy controller; flight simulation model; optimization (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
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