TECHNICAL MECHANICS
ISSN (Print): 1561-9184, ISSN (Online): 2616-6380

English
Russian
Ukrainian
Home > Journal Issues > No 1 (2020) Technical mechanics > 4
___________________________________________________

UDC 629.7+531.3+532.6

Technical mechanics, 2020, 1, 42 - 55

DISCRETE EVENT SIMULATION OF AN ONBOARD ACTIVE SYSTEM OF GOAL-ORIENTED EFFICIENCY SUPPORT FOR A ROCKET

DOI: https://doi.org/10.15407/itm2020.01.042

Gorbuntsov V. V., Zavoloka O. M.

      ABOUT THE AUTHORS

Gorbuntsov V. V.
Institute of Technical Mechanics of the National Academy of Sciences of Ukraine and the State Space Agency of Ukraine

Zavoloka O. M.
Institute of Technical Mechanics of the National Academy of Sciences of Ukraine and the State Space Agency of Ukraine

      ABSTRACT

      The aim of this paper is to elaborate a discrete event approach to the development of a methodology for the design of an onboard active system of goal-oriented efficiency support (OASGOES) for a rocket. Materials and methods: OASGOES discrete event models. Results and discussion. A typical model problem is formulated concerning active support of rocket goal-oriented efficiency, which provides for the detection and localization of failures (unforeseen malfunctions) of rocket systems and assemblies. The OASGOES must: (1) detect and localize failures with a required accuracy and as early as possible (before the failures pose major problems for the rocket operation), (2) alter the algorithm of the rocket flight control system, i. e., adapt the algorithm to the rocket operation under failure conditions so that the flight control system may continue to accomplish the control objectives and, as far as possible, provide optimal control, and (3) implement supervisory control by generating an optimal sequence of active control actions that restrict the behavior of the rocket and thus continuously keep it within the admissible state region. The paper discusses possibilities of OASGOES design with the use of discrete event simulation (DES) algorithms, which rely on the notions of observability, diagnosability, and supervisory control in discrete event systems. The proposed approach is illustrated by solving, with the use of methods of the algebraic dioid theory, the model problem of organization of a cyclic inspection of two rocket assemblies taking into account the required synchronous operation of the relevant blocks of the structural health monitoring system. Conclusions. It is expedient to use the discrete event approach in the development of a methodology for OASGOES design. The DES basic advantage is freedom from a detail simulation of the system under consideration.
      Pdf (English)







      KEYWORDS

active control system, algebraic dioid theory, failure detection and localization, discrete event simulation, diagnosability, rocket, goal-oriented efficiency support, supervisory control

      FULL TEXT:

Pdf (English)









      REFERENCES

1. Datta T. K. A state-of-the-art review on active control of structures (22nd ISET Annual Lecture). ISET Journal of Earthquake Technology. 2003. V. 40. No. 1. Pp. 1-17.

2. Flight Control Systems: Practical Issues in Design and Implementation. R. W. Pratt (Ed.). Reston: The Institution of Electrical Engineers, 2000. 408 pp.

3. Boller C., Meyendorf N. State-of-the-art in structural health monitoring for aeronautics. Proc. of Internat. Symposium on NDT in Aerospace. Furth, Bavaria, Germany, December 3-5, 2008. Furth, 2008. Pp. 1-8.

4. Gopalakrishnan S., Ruzzene M., Hanagud S. Computational Techniques for Structural Health Monitoring. London: Springer-Verlag, 2011. 500 pp. https://doi.org/10.1007/978-0-85729-284-1

5. Russian State Standard GOST R ISO 13374-1-2011. Machine Condition Monitoring and Diagnostics. Data Processing, Transfer, and Representation. Part 1. General Guidelines. Moscow: Standard Publishers, 2011. 18 pp. (in Russian).

6. Bendixen G. E., O'Connell R. F., Siegert C. D. Digital active control system for load alleviation for the Lockheed L-1011. Aeronautical Journal. 1981. V. 86. No. 849. Pp. 123- 30.

7. Kubica F., Livet T., Le Tron X., Bucharles A. Parameter-robust flight control system for a flexible aircraft. Control Engineering Practice. 1995. V. 3. No. 9. Pp. 1209-1215. https://doi.org/10.1016/0967-0661(95)00119-F

8. Aizenberg Ya. E., Zlatkin Yu. M., Kalnoguz A. N., Bataev V. A., Kuzmin A. I. Control on angles of attack and slip of the first stages of the launcher. Kosm. Nauka. Tehnol. 2002. V. 8. No. 1. Pp. 61-79. (in Russian). https://doi.org/10.15407/knit2002.01.061

9. Schmidt H.-J., Schmidt-Brandecker B. Design benefits in aeronautics resulting from SHM. Encyclopedia of Structural Health Monitoring. Christian Boller, Fou-Kuo Chang, Yozo Fujino (Eds.). Chichester: John Wiley & Sons Ltd., 2009. V. 4. Pp. 1915-1922. https://doi.org/10.1002/9780470061626.shm142

10. Gorbuntsov V. V., Zavoloka A. N. Simplified model of launch vehicle dynamics with account for airframe bending deformation during the active flight. Teh. Meh. 2010. No. 2. Pp. 93-102. (in Russian).

11. Gorbuntsov V. V., Zavoloka A. N. Active flight control of a launch vehicle with account for airframe bending deformation. Teh. Meh. 2011. No. 4. Pp. 125-136. (in Russian).

12. Gorbuntsov V. V., Zavoloka A. N., Sviridenko N. F. Active control of a launch vehicle disturbed motion based on system health monitoring data: problems and prospects. Teh. Meh. 2012. No. 1. Pp. 72-81. (in Russian).

13. Method and means to control a disturbed motion of an elastically deformed launch vehicle about its center of mass. Patent 102987 Ukraine: IPC Â 64 Ñ 13/00. No. U201209134; filed Jul. 25, 2012; published Aug. 27,,2013, Bul. No. 16. 6 pp. (in Ukrainian).

14. Gorbuntsov V. V., Zavoloka A. N., Sviridenko N. F. Mathematical model of an elastodeformed launch vehicle. Teh. Meh. 2013. No. 4. Pp. 59-70. (in Russian).

15. Gorbuntsov V. V., Zavoloka A. N., Sviridenko N. F. Methodic approach to formation of active control of hydrodynamic conditions in fuel tanks of carrier rocket based on status monitoring. Teh. Meh. 2015. No. 1. Pp. 30-41. (in Russian).

16. Gorbuntsov V. V., Zavoloka A. N., Sviridenko N. F. Special features of algorithm for active control of hydrodynamic status of tanks of launch vehicle. Teh. Meh. 2015. No. 4. Pp.103-116. (in Russian).

17. Gorbuntsov V. V., Zavoloka A. N., Sviridenko N. F. Active flight control for launch vehicle: a new approach and rational ways for its realization. Teh. Meh. 2016. No. 2. Pp. 32-43. (in Russian).

18. Gorbuntsov V. V., Zavoloka A. N., Sviridenko N. F. Increase in target-oriented efficiency of space medium-sized rocket: advanced lines for updating. Teh. Meh. 2016. No 4. Pp. 50-61. (in Russian).

19. Boikova M. V., Gavrilov S. D., Gavrilicheva N. A. Aviation of the future. Foresight. 2009. V. 1. No. 9. Pp. 5-15. (in Russian).

20. Krutilin A., Kokovin V., German G., Lovchikov S. The use of an airplane of the future should start today. Aviapanorama. 2008. No. 5. Pp. 3-8. (in Russian).

21. Russian State Standard 27002 - 2015. Reliability in Engineering. Terms and Definitions. Moscow: Standartinform, 2016. 14 pp. (in Russian).

22. Chen J., Patton R. J. Robust model based fault diagnosis for dynamic systems. Boston: Kluwer Academic Publishers, 1999. 324 pp. https://doi.org/10.1007/978-1-4615-5149-2_9

23. Patton R. J., Frank P. M., Clark R. N. Issues of Fault Diagnosis for Dynamical Systems. Berlin: Springer-Verlag, 2000. 364 pp. https://doi.org/10.1007/978-1-4471-3644-6

24. Simani S., Fantuzzi C., Patton R. J. Model-Based Fault Diagnosis in Dynamical Systems Using Identification Techniques. Berlin: Springer Verlag, 2002. 480 pp. https://doi.org/10.1007/978-1-4471-3829-7_2

25. De Persis C., Isidori A. A geometric approach to nonlinear fault detection and isolation. IEEE Transactions on Automatic Control. 2001. V. 45. No. 6. Pp. 101-119. https://doi.org/10.1109/9.928586

26. Chandler P. R., Pachter M., Mears M. System identification for adaptive and reconfigurable control. Journal of Guidance, Control and Dynamics. 1995. V.18. No. 3. Pp. 32-46. https://doi.org/10.2514/3.21417

27. Balakrishnan J., Narendra K. S. Adaptive control using multiple model. IEEE Transactions on Automatic Control. 1997. V. 42. No. 2. Pp. 111-120. https://doi.org/10.1109/9.554398

28. Cieslak R., Desclaux C., Fawaz A., Varaiya P. Supervisory control of discrete-event processes with partial observations. IEEE Transactions on Automatic Control. 1988. V. 33. No. 3. Pp. 249-260. https://doi.org/10.1109/9.402

29. Brandin B. A., Wonham W. M. Supervisory control of timed discrete-event systems. IEEE Transactions on Automatic Control. 1994. V. 39, No. 2. Pp. 329-342. https://doi.org/10.1109/9.272327

30. Cassandras C. G., Lafortune S. Introduction to discrete event systems. 2nd ed. New York: Springer Science + Business Media, 2008. 770 pp. https://doi.org/10.1007/978-0-387-68612-7

31. Sampath M., Sengupta R., Lafortune S., Sinnamohideen K., Teneketzis D. Diagnosability of discrete-event systems. IEEE Transactions on Automatic Control. 1995. V. 40. No. 9. Pp. 1555-1575. https://doi.org/10.1109/9.412626

32. Sampath M., Sengupta R., Lafortune S., Sinnamohideen K., Teneketzis D. Failure diagnosis using discrete-event models. IEEE Transactions on Control Systems Technology. 1996. V. 4. No. 2. Pp. 105-124. https://doi.org/10.1109/87.486338

33. Sampath M., Lafortune S., Teneketzis D. Active diagnosis of discrete-event systems. IEEE Transactions on Automatic Control. 1998. V. 43. N. 7. Pp. 908-929. https://doi.org/10.1109/9.701089

34. Ramadge P. J., Wonham W. M. The control of discrete-event systems. Proc. IEEE. 1989. V. 77. No. 1. Pp. 81-98. https://doi.org/10.1109/5.21072

35. Blanke M., Kinnaert M., Lunze J., Staroswiecki M. Diagnosis and fault-tolerant control. New York: Springer-Verlag, 2003. 420 pp. https://doi.org/10.1007/978-3-662-05344-7

36. Debouk R., Lafortune S., Teneketzis D. On an optimization problem in sensor selection. International Journal of Control. 2002. V. 12. No. 4. Pp. 417-445. https://doi.org/10.1023/A:1019770124060

37. Gorbuntsov V. V. Group-Theoretical Approach to the Solution of Combinatory Optimization Problems. Kiev: Naukova Dumka, 1983. 192 pp. (in Russian).

38. Heidergott B., Olsder G. J., van der Woude J. Max Plus at Work. Modeling and Analysis of Synchronized Systems: A Course on Max-Plus Algebra and Its Applications. Princeton: Princeton University Press, 2006. 232 pp. https://doi.org/10.1515/9781400865239

39. Krivutin N. K. Idempotent Algebra Methods in Problems of Complex System Simulation and Analysis. St. Petersburg: St. Petersburg University Publishers, 2009. 256 pp. (in Russian).





Copyright (©) 2020 Gorbuntsov V. V., Zavoloka O. M.

Copyright © 2014-2020 Technical mechanics


____________________________________________________________________________________________________________________________
GUIDE
FOR AUTHORS
Guide for Authors ==================== Open Access Policy
Open Access Policy ==================== REGULATIONS
on the ethics of publications
REGULATIONS on the ethics of publications ====================