Pilot Control Actions Optimal Model Modification and Its Application to the Piloting Performance Estimation Criteria Development

Aeronautical and Space-Rocket Engineering


Аuthors

Efremov A. V.*, Efremov E. V., Grishina A. Y.**

Moscow Aviation Institute (National Research University), 4, Volokolamskoe shosse, Moscow, А-80, GSP-3, 125993, Russia

*e-mail: pvl@mai.ru
**e-mail: GrishinaAY@mai.ru

Abstract

The most important requirements placed on the aircraft engineering at all historical stages of its development were achieving the highest efficiency of application while ensuring a required level of flight safety. These requirements are being reached in various ways, including both flight performance and handling characteristics improving. To design control systems, complex studying of the aircraft–pilot system is necessary. In this regard a need for studying the pilot behavioral regularities and developing mathematical model of his control actions occurs.
The presented article pays attention to the optimal approach to the pilot control actions development based on the optimal systems theory (the LQR method). This approach application allows obtaining rather close results of mathematical modeling and experimental studies in the field of medium and high frequencies with the little time consumption necessary for the aircraft–pilot system characteristics computing. However, the conducted studies revealed that such approach has a number of disadvantages. Firstly, the pilot's frequency response demonstrates significant phase advance in the low-frequency area, which was not observed in the experimental studies. Besides, practically all known publications on the pilot’s control actions optimal model consider stabilization task. Within the framework of this approach, accounting for the extra feedbacks, being introduced by the pilot (proprioceptive and acceleration information) is studied at present quite poorly. The disadvantage of the pilot's control actions mathematical model is as well the dependence of the results being obtained on the model input parameters, particularly, weight coefficients of the functional being minimized. This work deals with eliminating the above said disadvantages of the optimal model and expanding its capabilities. 
The developed modified optimal model of the pilot's control actions characteristics allowed:
• Confirming experimentally the expediency of the exact model of the controlled element dynamics replacing with an approximate analog in the low-frequency region while the controller synthesis by the LQR method. This replacement ensured compliance of the mathematical and seminatural modeling results.
• Accounting for the internal proprioceptive feedback, which allowed accuracy increasing of the aircraft-pilot system mathematical modeling, expanding the class of applied tasks to be solved and eliminating the controlled element dynamics effect on the quality functional weighting coefficients selection.
• Accounting for the additional channel of the acceleration information perception, which expanded the possibilities of the optimal control model application.
Application of the optimal model modification obtained while this study allowed enhancing the piloting performance prediction with the “New MAI Criterion”. Besides, the authors obtained the piloting performance criterion normalizing the aircraft-pilot system parameters in the lateral canal accounting for the acceleration information effect. Expressions for computing each factor (vestibular and visual) as well as integral subjective rating of the pilot were obtained.
The computed ratings have predicted the level of all 23 selected configurations from the LATHOS lateral channel dynamic configuration database, and matched the ratings obtained in the flight experiments. The prediction confidence coefficient of the subjective rating of the pilot prediction R2 is 0.9307.

Keywords:

pilot-vehicle system, modification of the pilot control actions characteristics optimal model, piloting performance estimation criteria, multimodal control tasks, steering levers, acceleration information

References

  1.  Arkhangel’skii YaA, Zaichik LE, Kuz’min PV, et al. The required volume of motion cues for full flight simulation of civil aircraft stall cases. Aerospace MAI Journal. 2023;30(2):169-178. (In Russ.). DOI: 10.34759/vst-2023-2-169-178
  2.  Tikhonov VN. Analysis of accuracy characteristics, probabilistic characteristics and expert evaluations of aircraft by the pilots while in-flight refueling. Aerospace MAI Journal. 2021;28(4):219-231. (In Russ.).  DOI: 10.34759/vst-2021-4-219-231
  3.  McRuer D, Graham D, Krendel E, et al. Human pilot dynamics in compensatory systems: Theory, models, and experiments with controlled element and forcing function variations. Technical Report AFFDL–TR–65–15, 1965.
  4.  Hess RA. Structural model of the adaptive human pilot. Journal of Guidance, Control and Dynamics. 1979;3(5):416-423. Article No. 79-1784R. DOI: 10.2514/3.56015
  5.  Kleinman DL, Baron S, Levison WH. An Optimal Control Model of Human Behavior. Proceedings of the 5th NASA - University annual conference on manual control. NASA-SP 215. 1969. p. 343-366.
  6.  Vereshchikov DV, Zhuravskii KA, Kostin PS. Motion control quality assessment of maneuverable aircraft. Aerospace MAI Journal. 2021;28(2):191-205. (In Russ.).  DOI: 10.34759/vst-2021-2-191-205
  7.  Xu S, Tan W, Sun L. Modeling Shared Control System Between Human Pilot and Autopilot for a Carrier-Based Aircraft Landing Task. IEEE Transactions on Human-Machine Systems. 2025;55(1):102-111. DOI: 10.1109/THMS.2024.3502178
  8.  Pontryagin LS, Boltyanskii VG, Gamkrelidze RV, et al. The mathematical theory of optimal processes. New York/London: John Wiley & Sons., 1962. 360 p. DOI: 10.1002/ZAMM.19630431023
  9.  Irgaleev IK, Efremov AV, Grishina AYu, et al. Optimal Control Model as an Approach to the Synthesis of a Supersonic Transport Control System. Aerospace Systems. 2025;8:117–124. DOI: 10.1007/s42401-024-00291-4
  10.  Kalman RE. A new approach to linear filtering and prediction problems. Transactions of the ASME – Journal of Basic Engineering (Series D). 1960;82:35-45.
  11.  Kleinman DL, Baron S, Levison WH. An optimal control model of human response. Part I: theory and validation. Automatica. 1970;6(3):357–369. DOI: 10.1016/0005-1098(70)90051-8
  12.  Schmidt DK. Optimal Flight Control Synthesis via Pilot Modeling. Journal of Guidance, Control, and Dynamics. 2008;2(4):308–312. Article No. 78-1286. DOI: 10.2514/3.55880
  13.  Efremov AV. The airplane-pilot system. Patterns and mathematical models of pilot behavior. Moscow: MAI; 2017. 193 p. (In Russ.).
  14.  Efremov AV, Efremov EV, Grishina AYu. Modification of the Optimal Control Model of the Pilot and Its Application to the Selection of Inceptor Characteristics. IFAC PapersOnLine. 2024;58(30):192–196. DOI: 10.1016/j.ifacol.2025.01.179
  15.  Curry RE, Hoffman WC, Young LR. Pilot modeling for manned simulation. Final report AFFDL-TR-76-124, 1976. 187 p.
  16.  Shirley RS. Motion Cues in Мan-Vehicle Control. Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics. Thesis; 1968, pp. 291-293.
  17.  Efremov AV, Efremov EV. Modification of the pilot behavior structural model and its application to the task of selecting the characteristics and type of inceptors. Aerospace MAI Journal. 2023;30(1):167-179. (In Russ.).  DOI: 10.34759/vst-2023-1-167-179
  18.  Efremov AV, Ogloblin AV, Rodchenko VV., et al. The pilot as a dynamic system. Moscow: Mashinostroenie; 1992. 330 p. (In Russ.).
  19.  Monagan SJ, Smith RE, Bailey RE. Lateral flying qualities of highly augmented fighter aircraft. Technical Report AFWAL-TR-81-3171, 1982. 283 p.
  20. MIL-STD-1797A. Flying qualities of piloted aircraft. Dayton, Ohio: Wright Paterson Air Force Base; 2004. 723 p.
  21.  Efremov AV, Efremov EV, Tiaglik MS. Advancements in Predictions of Flying Qualities, Pilot-Induced Oscillation Tendencies, and Flight Safety. Journal of Guidance, Control, and Dynamics. 2020;43(1):4–14. DOI: 10.2514/1.G004409

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