Geometry Optimization of Flight Simulator Mechanism Using Genetic Algorithm
Апстракт
Flight simulators are motion platforms used to train pilots in various flight regimes. Theoretically, they need to simulate all flight cases and all forces acting upon the pilot during flight. In order to successfully simulate real flight, a moving part of the simulator needs to have six degrees of freedom. The pilot's body is moved and oriented in the space according to the video shown to him. Among many existing designs, parallel mechanisms based on the Stewart platform are most frequently used. In this paper, geometry optimization of the Stewart platform with rotary actuators (6-RUS) is done with a genetic algorithm. For the sake of optimization, it is necessary to define a minimum number of parameters that fully define mechanism with all constraints. The purpose of geometry optimization is to find a mechanism with a workspace that is suitable for simulating flight.
Кључне речи:
Rotary Stewart platform / Geometry optimization / Genetic algorithm / Flight simulatorИзвор:
Computational and Experimental Approaches in Materials Science and Engineering, Cnntech 2019, 2020, 90, 340-358Издавач:
- Springer International Publishing Ag, Cham
DOI: 10.1007/978-3-030-30853-7_20
ISSN: 2367-3370
WoS: 000613139400020
Scopus: 2-s2.0-85073232639
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Petrašinović, Miloš AU - Grbović, Aleksandar AU - Petrašinović, Danilo PY - 2020 UR - https://machinery.mas.bg.ac.rs/handle/123456789/3287 AB - Flight simulators are motion platforms used to train pilots in various flight regimes. Theoretically, they need to simulate all flight cases and all forces acting upon the pilot during flight. In order to successfully simulate real flight, a moving part of the simulator needs to have six degrees of freedom. The pilot's body is moved and oriented in the space according to the video shown to him. Among many existing designs, parallel mechanisms based on the Stewart platform are most frequently used. In this paper, geometry optimization of the Stewart platform with rotary actuators (6-RUS) is done with a genetic algorithm. For the sake of optimization, it is necessary to define a minimum number of parameters that fully define mechanism with all constraints. The purpose of geometry optimization is to find a mechanism with a workspace that is suitable for simulating flight. PB - Springer International Publishing Ag, Cham C3 - Computational and Experimental Approaches in Materials Science and Engineering, Cnntech 2019 T1 - Geometry Optimization of Flight Simulator Mechanism Using Genetic Algorithm EP - 358 SP - 340 VL - 90 DO - 10.1007/978-3-030-30853-7_20 ER -
@conference{ author = "Petrašinović, Miloš and Grbović, Aleksandar and Petrašinović, Danilo", year = "2020", abstract = "Flight simulators are motion platforms used to train pilots in various flight regimes. Theoretically, they need to simulate all flight cases and all forces acting upon the pilot during flight. In order to successfully simulate real flight, a moving part of the simulator needs to have six degrees of freedom. The pilot's body is moved and oriented in the space according to the video shown to him. Among many existing designs, parallel mechanisms based on the Stewart platform are most frequently used. In this paper, geometry optimization of the Stewart platform with rotary actuators (6-RUS) is done with a genetic algorithm. For the sake of optimization, it is necessary to define a minimum number of parameters that fully define mechanism with all constraints. The purpose of geometry optimization is to find a mechanism with a workspace that is suitable for simulating flight.", publisher = "Springer International Publishing Ag, Cham", journal = "Computational and Experimental Approaches in Materials Science and Engineering, Cnntech 2019", title = "Geometry Optimization of Flight Simulator Mechanism Using Genetic Algorithm", pages = "358-340", volume = "90", doi = "10.1007/978-3-030-30853-7_20" }
Petrašinović, M., Grbović, A.,& Petrašinović, D.. (2020). Geometry Optimization of Flight Simulator Mechanism Using Genetic Algorithm. in Computational and Experimental Approaches in Materials Science and Engineering, Cnntech 2019 Springer International Publishing Ag, Cham., 90, 340-358. https://doi.org/10.1007/978-3-030-30853-7_20
Petrašinović M, Grbović A, Petrašinović D. Geometry Optimization of Flight Simulator Mechanism Using Genetic Algorithm. in Computational and Experimental Approaches in Materials Science and Engineering, Cnntech 2019. 2020;90:340-358. doi:10.1007/978-3-030-30853-7_20 .
Petrašinović, Miloš, Grbović, Aleksandar, Petrašinović, Danilo, "Geometry Optimization of Flight Simulator Mechanism Using Genetic Algorithm" in Computational and Experimental Approaches in Materials Science and Engineering, Cnntech 2019, 90 (2020):340-358, https://doi.org/10.1007/978-3-030-30853-7_20 . .