Real Coded Mixed Integer Genetic Algorithm for Geometry Optimization of Flight Simulator Mechanism Based on Rotary Stewart Platform
2022
Аутори
Petrašinović, MilošGrbović, Aleksandar
Petrašinović, Danilo
Petrović, Mihailo G.
Raičević, Nikola
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Featured Application Low-cost flight simulators with electric rotary actuators and optimized geometry for flight simulation. Designing the motion platform for the flight simulator is closely coupled with the particular aircraft's flight envelope. While in training, the pilot on the motion platform has to experience the same feeling as in the aircraft. That means that flight simulators need to simulate all flight cases and forces acting upon the pilot during flight. Among many existing mechanisms, parallel mechanisms based on the Stewart platform are suitable because they have six degrees of freedom. In this paper, a real coded mixed integer genetic algorithm (RCMIGA) is applied for geometry optimization of the Stewart platform with rotary actuators (6-RUS) to design a mechanism with appropriate physical limitations of workspace and motion performances. The chosen algorithm proved that it can find the best global solution with all imposed constraints. At the same time, the obtained geom...etry can be manufactured because integer solutions can be mapped to available discrete values. Geometry is defined with a minimum number of parameters that fully define the mechanism with all constraints. These geometric parameters are then optimized to obtain custom-tailored geometry for aircraft flight simulation.
Кључне речи:
rotary Stewart platform / real coded mixed integer genetic algorithm / motion platform / geometry optimization / flight simulatorИзвор:
Applied Sciences-Basel, 2022, 12, 14Издавач:
- MDPI, Basel
DOI: 10.3390/app12147085
ISSN: 2076-3417
WoS: 000832403100001
Scopus: 2-s2.0-85137370853
Колекције
Институција/група
Mašinski fakultetTY - JOUR AU - Petrašinović, Miloš AU - Grbović, Aleksandar AU - Petrašinović, Danilo AU - Petrović, Mihailo G. AU - Raičević, Nikola PY - 2022 UR - https://machinery.mas.bg.ac.rs/handle/123456789/3730 AB - Featured Application Low-cost flight simulators with electric rotary actuators and optimized geometry for flight simulation. Designing the motion platform for the flight simulator is closely coupled with the particular aircraft's flight envelope. While in training, the pilot on the motion platform has to experience the same feeling as in the aircraft. That means that flight simulators need to simulate all flight cases and forces acting upon the pilot during flight. Among many existing mechanisms, parallel mechanisms based on the Stewart platform are suitable because they have six degrees of freedom. In this paper, a real coded mixed integer genetic algorithm (RCMIGA) is applied for geometry optimization of the Stewart platform with rotary actuators (6-RUS) to design a mechanism with appropriate physical limitations of workspace and motion performances. The chosen algorithm proved that it can find the best global solution with all imposed constraints. At the same time, the obtained geometry can be manufactured because integer solutions can be mapped to available discrete values. Geometry is defined with a minimum number of parameters that fully define the mechanism with all constraints. These geometric parameters are then optimized to obtain custom-tailored geometry for aircraft flight simulation. PB - MDPI, Basel T2 - Applied Sciences-Basel T1 - Real Coded Mixed Integer Genetic Algorithm for Geometry Optimization of Flight Simulator Mechanism Based on Rotary Stewart Platform IS - 14 VL - 12 DO - 10.3390/app12147085 ER -
@article{ author = "Petrašinović, Miloš and Grbović, Aleksandar and Petrašinović, Danilo and Petrović, Mihailo G. and Raičević, Nikola", year = "2022", abstract = "Featured Application Low-cost flight simulators with electric rotary actuators and optimized geometry for flight simulation. Designing the motion platform for the flight simulator is closely coupled with the particular aircraft's flight envelope. While in training, the pilot on the motion platform has to experience the same feeling as in the aircraft. That means that flight simulators need to simulate all flight cases and forces acting upon the pilot during flight. Among many existing mechanisms, parallel mechanisms based on the Stewart platform are suitable because they have six degrees of freedom. In this paper, a real coded mixed integer genetic algorithm (RCMIGA) is applied for geometry optimization of the Stewart platform with rotary actuators (6-RUS) to design a mechanism with appropriate physical limitations of workspace and motion performances. The chosen algorithm proved that it can find the best global solution with all imposed constraints. At the same time, the obtained geometry can be manufactured because integer solutions can be mapped to available discrete values. Geometry is defined with a minimum number of parameters that fully define the mechanism with all constraints. These geometric parameters are then optimized to obtain custom-tailored geometry for aircraft flight simulation.", publisher = "MDPI, Basel", journal = "Applied Sciences-Basel", title = "Real Coded Mixed Integer Genetic Algorithm for Geometry Optimization of Flight Simulator Mechanism Based on Rotary Stewart Platform", number = "14", volume = "12", doi = "10.3390/app12147085" }
Petrašinović, M., Grbović, A., Petrašinović, D., Petrović, M. G.,& Raičević, N.. (2022). Real Coded Mixed Integer Genetic Algorithm for Geometry Optimization of Flight Simulator Mechanism Based on Rotary Stewart Platform. in Applied Sciences-Basel MDPI, Basel., 12(14). https://doi.org/10.3390/app12147085
Petrašinović M, Grbović A, Petrašinović D, Petrović MG, Raičević N. Real Coded Mixed Integer Genetic Algorithm for Geometry Optimization of Flight Simulator Mechanism Based on Rotary Stewart Platform. in Applied Sciences-Basel. 2022;12(14). doi:10.3390/app12147085 .
Petrašinović, Miloš, Grbović, Aleksandar, Petrašinović, Danilo, Petrović, Mihailo G., Raičević, Nikola, "Real Coded Mixed Integer Genetic Algorithm for Geometry Optimization of Flight Simulator Mechanism Based on Rotary Stewart Platform" in Applied Sciences-Basel, 12, no. 14 (2022), https://doi.org/10.3390/app12147085 . .