UDK 517.977.1
APPLICATION OF SENSITIVE FUNCTIONS, WHICH USED TO COMPUTE TUBES INCLUDING THE TRAJECTORIES OF CONTROL SYSTEMS
A. N. Rogalyov
Institute of Computational Modeling SB RAS; 50/44, Akadmegorodok, Krasnoyarsk, 660036, Russian Federation
This article presented the use of sensitivity functions to compute the boundaries of inclusions of control systems reachability sets and their application to problems of estimation tolerances of aircraft motion, or missiles motion, or spacecraft motion. As a rule, the model of the control system is carried out throughout the range of the defining set of parameters in the framework of the sensitivity of numerical investigation of the parametric. The practical application of this approach is very often impractical or impossible because of the huge number of required computations and countless of the results. The combined use of the sensitivity functions and the analytical formulas of solutions proposed and implemented in the article, can effectively compute the inclusion of reachable sets. These sets include all trajectories of the control system, starting at the initial time point in the initial set. The inclusion of reachable sets are used in problems of guaranteed estimation of variance sets aircraft and in problems of control tolerances, considering that the current external disturbances of system and errors of observation are enclosed within certain limits (constrained by limitations). Defined sensitivity functions are derivatives of various state variables with respect the parameters of the appropriate group. Obtained these functions are solutions of the sensitivity equations constructed directly from a known parametric model of the system. Using the method, based on symbolical formulas for the solution and based on sensitivity function, allows getting a reliable estimate of reachable sets of control systems in conditions of uncertainty. Control actions are included on the right side of these systems arbitrarily, not only as an additive term. Application of this method involves the problem of estimating the maximum deviations of the aircraft motion at the stage of the automatic approach, the problem of determining the possibility of loss of stability of the aircraft motion at a given time, that is the problem of safety of the aircraft trajectory, the problem of the helicopter landing. Simplified criteria for buckling in such problems are the computation of a threshold or critical value of one of the motion parameters, and evaluation of the boundaries of all possible trajectories. The article presents the results of numerical methods based on the use of analytical formulas and sensitivity functions and evaluating all its possible values (reachable sets of control systems).
Keywords: maximum deviations, aircraft, critical values of parameters, guaranteed method of estimating, symbolical formula, sensitivity function.
References

1. Kurzhanskiy A. B. Upravlenie i nablyudenie v usloviyakh neopredelennosti [Control and Observation under Uncertainty]. Moscow, Nauka Publ., 1977, 390 p.

2. Chernousko F. L. Otsenivanie fazovogo sostoyaniya dinamicheskikh sistem [Estimation of Phase State of Dynamic Systems]. Moscow, Nauka Publ., 1988, 320 p.

3. Chernousko F. L. State Estimation for Dynamic Systems. Boca Raton: CRC Press, 1994, 304 p.

4. Ovseevich A. I., Shmatko A. M. [Concerning the comparison of probabilitic and guaranteed approaches to the prediction of the phase state of dynamical systems]. Izvestiya Akademii Nauk. Teoriya i sistemy upravleniya. 2007, No. 4, P. 11–16 (In Russ).

5. Chernousko F. L. [Ellipsoidal approximation of reachable sets of controlled linear systems with uncertain matrix]. Prikladnaya Matematika i Mekhanika. 1996, Vol. 60, No. 6, P. 940–950 (In Russ).

6. Kurzhanskii A. B., Furasov B. D. [Problems of Guaranteed Identification of Bilinear Systems with Discrete Time]. Izvestiya Akademii Nauk. Teoriya i sistemy upravleniya. 2000, No. 4, P. 5–12 (In Russ.).

7. Patsko B. V., Pyatko S. G., Fedotov A. A. [Threedimension Reachable Sets of Nonlinear Controlled Systems]. Izvestiya Akademii Nauk. Teoriya i sistemy upravleniya. 2003, No. 3, P. 8–16 (In Russ.).

8. Kuz’min V. P., Yaroshevskiy V. A. Otsenka predel’nykh otkloneniy fazovykh koordinat dinamicheskoy sistemy pri sluchaynykh vozmushcheniyakh. [Estimation of Maximum Deviations of Dynamical System Phase Coordinates Subjected to Stochastic Perturbations]. Moscow, Nauka Publ. 1995, 298 p.

9. Rosenwasser E. N., Yusupov R. M. Chuvstvitel’nost’ sistem avtomaticheskogo upravleniya. [The sensitivity of the automatic control systems]. Leningrad, Energiya Publ., 1969, 208 p.

10. Saltelli A., Andres Т. Н., Homma T. Sensitivity analysis of model output: An investigation of new techniques. Computational Statistics and Data Analysis, 1993, Vol. 15, P. 211–238.

11. Shengtai Li., Linda Petzold. Software and algorithms for sensitivity analysis of large-scale differential algebraic systems. Journal of Computational and Applied Mathematics. 2000, No. 125, P. 131–145.

12. Leis J., Kramer M. The simultaneous solution and sensitivity analysis of systems described by ordinary differential equations. ACM Transactions on Mathematical Software. 1988, Vol. 14, Iss. 1, March 1988, P. 45–60.

13. Novikov V. A., Rogalyov A. N. [Construction of convergent upper and lower estimations of Solutions of Ordinary Differential Equations Systems]. Zhurnal vychislitel’noy matematiki i matematicheskoy fiziki. 1993, Vol. 33, No. 2, P. 219–231 (In Russ.).

14. Rogalyov A. N. [Using Boundaries of Global Error for Guaranteed Estimates of Ordinary Differential Equations Solutions]. Vychislitel’nye tekhnologi, 2002, Vol. 7, No. 4, P. 88–95 (In Russ.).

15. Rogalyov A. N. [Guaranteed Methods for Ordinary Differential Equations Solving Based on Symbolic Formulae Development]. Vychislitel’nye tekhnologii, 2003, Vol. 8, No. 5, P. 102–116 (In Russ.).

16. Rogalyov A. N. [Inclusion of Sets of Differential Equations Solutions and Guaranteed Bbounds of Global Error]. Vychislitel’nye tekhnologii, 2003, Vol. 8, No. 6, P. 80–94 (In Russ.).

17. Rogalyov A. N. Computation of reachable sets guaranteed bounds. Proceedings of the IASTED International Conferences on Automation, Control, and Information Technology – Control, Diagnostics, and Automation (ACIT – CDA 2010). ACTA Press, B6, Calgary, Canada. 2010, P. 132–139.

18. Rogalyov A. N. [Guaranteed Bounds and Reachable Sets Constructing for Nonlinear Controlled Systems]. Vestnik SibGAU, 2010, No. 5(31), P. 148–154 (In Russ.).

19. Rogalyov A. N. [Computing of Guaranteed Bounds of Controlled Systems Reachable Sets]. Avtometriya. 2011, Vol. 47, No. 3, P. 100–112 (In Russ.).

20. Rogalyov A. N. [Calculation of Guaranteed Boundaries of Reachable Sets of Controlled Systems]. Optoelectronics, Instrumentation and Data Processing. Allerton Press. 2011, Vol. 47, No. 3, P. 287–296.

21. Rogalyov A. N., Rogalyov A. A. [Numerical Computations of Phase States Inclusions for Problems of Aircraft Displacement Inspection]. Vestnik SibGAU. 2012, No. 1(41), P. 53–57 (In Russ.).

22. Rogalyov A. N. [Safety of complex systems and evaluation of areas tolerance]. Sovremennye tekhnologii, sistemnyy analiz, modelirovanie. 2014, No. 4 (44), P. 84–91 (In Russ.).

23. Belogorodskiy S. L. Avtomatizatziya upravlenya posadkoy samoleta. [Automation management of landing]. Moscow, Transport Publ., 1972, 352 p.

24. Bukov V. N. Adaptivnye prognoziruyshie systemy upravleniya poletom. [Adaptive predictive flight control system]. Moscow, Nauka Publ., 1987, 232 p.

25. Fedorov S. M., Drabkin V. V., Kane V. M., Mikhailov O. I. Avtomatizirovannoe upravlenye samoletami i vertoletami. [Automatic control of aircraft and helicopters.] Moscow, Transport Publ., 1977, 248 p.

26. Gurman V. I., Kwokov V. N., Ukhin M. Yu. [Approximate methods for optimizing aircraft control]. Avtomatika  i telemekhanika. 2008, No. 4, P.191–200 (In Russ.).


Rogalev Alexey Nikolaevich – Cand. Sc., Docent, senior researcher, Institute of Computational Modeling SB RAS. E-mail: rogalyov@icm.krasn.ru.