Abstract
The article explains the use of modifications the classical method PSO to optimize the training pilots task on aircraft simulators. Model is based on the identification of the specific guarantee of safety in the task of training pilots of the features of simulation with the use of modern optimization models for long-term quantitative forecast of random processes. The author proved that the classical optimization techniques to aircraft supporting function, the input and output variables, and classes of equations defined by the model author. These circumstances lead to the fact that the obtained models do not have sufficient flexibility that in turn affects their behavior when adding new data points. The increased accuracy and the introduction of additional variables in the optimization problem of security is solved based on the methodology PSO. On the basis of mathematical simulation shows the potential of the PSO for the identification of quality indicators of a new level for the purpose of guaranteeing flight safety. The method of group accounting of arguments presents an original method for solving problems that require structural and parametric identification of models. The author's approach to the problem of optimization consists in taking into account qualitative indicators in terms of aviation events at the gym. On the basis of the mathematical apparatus created a dynamic model based on the classical method PSO. The results obtained are of high precision in compliance with international regulations guaranteeing flight safety and pilot training ICAO and SHEL. Therefore, the method of group accounting of arguments will be effective mathematical tool to build the model and training procedures.
Highlights
The article explains the use of modifications the classical method PSO to optimize the training pilots task on aircraft simulators
Model is based on the identification of the specific guarantee of safety in the task of training pilots of the features of simulation with the use of modern optimization models for long-term quantitative forecast of random processes
The increased accuracy and the introduction of additional variables in the optimization problem of security is solved based on the methodology PSO
Summary
Ɉɫɧɨɜɧɨɣ ɩɪɢɱɢɧɨɣ ɚɜɢɚɰɢɨɧɧɵɯ ɫɨɛɵɬɢɣ ɩɪɢ ɞɟɣɫɬɜɢɢ ɧɚ ɷɤɢɩɚɠ ɧɟɫɤɨɥɶɤɢɯ ɧɟɝɚɬɢɜɧɵɯ ɮɚɤɬɨɪɨɜ ɹɜɥɹɸɬɫɹ ɞɟɣɫɬɜɢɹ ɫɚɦɨɝɨ ɷɤɢɩɚɠɚ. Ɇɨɜɢɡɧɚ ɩɨɫɬɚɧɨɜɤɢ ɷɬɨɣ ɫɬɪɚɬɟɝɢɱɟɫɤɨɣ ɧɚɭɱɧɨɣ ɩɪɨɛɥɟɦɵ ɡɚɤɥɸɱɚɟɬɫɹ ɜ ɬɨɦ, ɱɬɨ ɪɟɱɶ ɢɞɟɬ ɧɟ ɨ ɤɨɥɢɱɟɫɬɜɟɧɧɨɦ ɢɡɦɟɧɟɧɢɢ ɞɨɥɢ ɚɜɢɚɰɢɨɧɧɵɯ ɫɨɛɵɬɢɣ, ɤɨɬɨɪɵɟ ɩɪɢɯɨɞɹɬɫɹ ɧɚ ɞɨɥɸ ɱɟɥɨɜɟɱɟɫɤɨɝɨ ɮɚɤɬɨɪɚ, ɧɟ ɨ ɱɚɫɬɢɱɧɨɣ ɨɩɬɢɦɢɡɚɰɢɢ, ɚ ɨ ɤɚɱɟɫɬɜɟɧɧɨɦ ɢɡɦɟɧɟɧɢɢ ɨɛɳɟɣ ɬɟɧɞɟɧɰɢɢ ɨɬɧɨɫɢɬɟɥɶɧɨ ɜɥɢɹɧɢɹ ɱɟɥɨɜɟɱɟɫɤɨɝɨ ɮɚɤɬɨɪɚ ɧɚ ɚɜɢɚɰɢɨɧɧɵɟ ɫɨɛɵɬɢɹ ɟɳɟ ɧɚ ɫɬɚɞɢɢ ɬɪɟɧɚɠɟɪɧɨɣ ɩɨɞɝɨɬɨɜɤɢ ɩɢɥɨɬɨɜ. Ɉɫɨɛɟɧɧɨɫɬɶ ɬɚɤɢɯ ɮɚɤɬɨɪɨɜ ɡɚɤɥɸɱɚɟɬɫɹ ɜ ɬɨɦ, ɱɬɨ ɤɪɢɬɟɪɢɹɦɢ ɷɮɮɟɤɬɢɜɧɨɫɬɢ ɬɪɟɧɚɠɟɪɧɨɣ ɩɨɞɝɨɬɨɜɤɢ ɩɪɢ ɭɩɪɚɜɥɟɧɢɢ ɛɟɡɨɩɚɫɧɨɫɬɶɸ ɩɨɥɟɬɚ ɩɪɢ ɩɨɞɝɨɬɨɜɤɟ ɩɢɥɨɬɨɜ ɹɜɥɹɟɬɫɹ ɦɟɬɨɞ ɮɚɤɬɨɪɧɵɯ ɧɚɤɥɚɞɨɤ ɢ ɭɱɟɬɚ ɜɥɢɹɧɢɹ ɩɨɥɢɮɚɤɬɨɪɧɨɫɬɢ [7, 8]. Ⱦɚɧɧɚɹ ɦɨɞɟɥɶ ɩɨɡɜɨɥɢɬ ɦɢɧɢɦɢɡɢɪɨɜɚɬɶ ɜɪɟɦɹ ɩɨɞɝɨɬɨɜɤɢ ɩɢɥɨɬɨɜ ɞɥɹ ɨɛɟɫɩɟɱɟɧɢɹ ɛɨɥɟɟ ɧɚɞɟɠɧɵɯ ɪɟɡɭɥɶɬɚɬɨɜ ɨɛɭɱɟɧɢɹ ɧɚ ɬɪɟɧɚɠɟɪɟ ɩɪɢ ɡɚɞɚɧɧɨɦ ɭɪɨɜɧɟ ɛɟɡɨɩɚɫɧɨɫɬɢ ɢɦɢɬɢɪɭɟɦɵɯ ɫɨɛɵɬɢɣ. Ɉɫɨɛɨɟ ɦɟɫɬɨ ɫɪɟɞɢ ɧɢɯ ɩɪɢɧɚɞɥɟɠɢɬ ɚɥɝɨɪɢɬɦɭ ɨɩɬɢɦɢɡɚɰɢɢ ɪɨɟɦ ɱɚɫɬɢɰ (Particle Swarm Optimization – PSO) [10], ɱɬɨ ɨɛɭɫɥɨɜɥɟɧɨ ɜɨɡɦɨɠɧɨɫɬɶɸ ɟɝɨ ɩɪɢɦɟɧɟɧɢɹ ɞɥɹ ɷɮɮɟɤɬɢɜɧɨɝɨ ɪɟɲɟɧɢɹ ɲɢɪɨɤɨɝɨ ɤɪɭɝɚ ɡɚɞɚɱ ɨɩɬɢɦɢɡɚɰɢɢ, ɜ ɬɨɦ ɱɢɫɥɟ ɧɟɩɪɟɪɵɜɧɨɣ, ɞɢɫɤɪɟɬɧɨɣ, ɤɨɦɛɢɧɚɬɨɪɧɨɣ ɢ ɦɧɨɝɨɤɪɢɬɟɪɢɚɥɶɧɨɣ. Ɉɪɢ ɫɜɨɟɦ ɞɜɢɠɟɧɢɢ ɱɚɫɬɢɰɵ ɩɵɬɚɸɬɫɹ ɭɥɭɱɲɢɬɶ ɧɚɣɞɟɧɧɨɟ ɢɦɢ ɪɚɧɟɟ ɪɟɲɟɧɢɟ ɢ ɨɛɦɟɧɢɜɚɸɬɫɹ ɢɧɮɨɪɦɚɰɢɟɣ ɫɨ ɫɜɨɢɦɢ ɫɨɫɟɞɹɦɢ
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.