ROBUST UAV CONTROL SYSTEM WITH REDUNDANT NONORTHOGONAL MEASURING INSTRUMENT

Authors

  • O. A. Sushchenko National Aviation University, Kyiv
  • N. D. Novytska National Aviation University, Kyiv
  • Y. M. Bezkorovainyi National Aviation University, Kyiv
  • V. O. Golitsyn National Aviation University, Kyiv

DOI:

https://doi.org/10.18372/1990-5548.56.12934

Keywords:

Control system, nonorthogonal configuration, rate gyroscope, redundancy, robust controller

Abstract

The paper deals with synthesis of robust system assigned for operation on unmanned aerial vehicles. A feature of the system lies in using nonorthoginal measuring instrument. Synthesis of the controller was carried out by means of the robust structural synthesis. Such an approach requires  development of the mathematical model of a plant. Therefore models of longitudinal and lateral motion of an unmanned aerial vehicle` were obtained. These models take into consideration nonorthogonal redundant measuring system, which includes rate gyroscopes based on microelectromechanical systems technology. Matrices of state, control, observation in the state space were obtained using AeroSim Technology. Results of synthesied system simulation are represented. The obtained results can be useful for moving vehicles of the wide class.

Author Biographies

O. A. Sushchenko, National Aviation University, Kyiv

Aerospace Control Systems Department, Education & Research Institute of Air Navigation, Electronics and Telecommunications

Doctor of Engineering Science. Professor

N. D. Novytska, National Aviation University, Kyiv

Aerospace Control Systems Department, Education & Research Institute of Air Navigation, Electronics and Telecommunications

Master. Assistant

Y. M. Bezkorovainyi, National Aviation University, Kyiv

Aerospace Control Systems Department, Education & Research Institute of Air Navigation, Electronics and Telecommunications

Candidate of Science (Engineering). Associate Professor

V. O. Golitsyn, National Aviation University, Kyiv

Education & Research Institute of Air Navigation, Electronics and Telecommunications

Master

References

J. Cheng, J. Dong, R. Landry, and D. A. Chen, “Novel optimal configuration form redundant MEMS inertial sensors based on the orthogonal rotation method,” Sensors, vol. 14(8), pp. 13661–13678, 2014.

J. O. Nilsson, I. Skog, and P. Handel, An open-source multi inertial measurement unit (MIMU) platform. Inertial Sensors and Systems.

O. A. Sushchenko, Y. N. Bezkorovainyi, and N. D. Novytska, “Nonorthogonal redundant configurations of inertial sensors,” IEEE 4th International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD), 2017.

A. D. Epifanov, Redundant Systems of Aircraft Control. Moscow: Mashinostroenie, 1978, 178 p. (in Russian)

O. A. Sushchenko, Y. N. Bezkorovainyi, and N. D. Novytska, “Theoretical and Experimental Assessments of Accuracy of Nonorthogonal MEMS Sensor Aarrays,” EasternEuropean Journal of Enterprise Technologies, no. 3, pp. 78–87. Год???

G. J. Holland, P. J. Webster, J. A. Curry and et al., The aerosonde robotic aircraft: a new paradigm for environmental observations, Bulletin of the American meteorological society, vol. 82, no. 5, 2001, pp. 889–901.

D. McLean, Automatic Flight Control Systems, Prentice Hall, Inc., 1990, 593 p.

J. C. Jeromel, P. L. Peres, and S. R. Souza, “Convex Analysis of Output Feedback Control Problems: Robust Stability and Performance,” IEEE Trans, on Automatic Control. vol. 41, no. 7, Jul. 1996, pp. 903–1003.

AeroSim – Aerospace Technology. Mode of direct access: AeroSimwww.aerospace-technology.com/contractors/training/aerosim/

A. A. Tunik, J. C. Kim, and C. S. Yoo, “The Parameter Optimization of Aircraft’s Control Law from the Viewpoint of Some Airworthiness Requirements,” Proceedings of the 12th Korea Automatic Control Conf. “97 КАСС”. ICASE Publ. Seoul, 1997, pp. 1651–1654.

Brian L. Stevens and Frank F., Lewis, Aircraft Control and Simulation, [2nd ed.]. John Wiley & Sons Inc., 2003, 665 р.

S. Skogestad and I. Postlethwaite, Multivariable Feedback Control, New York: Jonh Wiley, 1997, 559 p.

I. P. Egupov, Methods of Robust, Neuro-Fuzzy and Adaptive Control, Moscow: MSTU named after N.E. Bauman, 2002. (in Russian).

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AUTOMATIC CONTROL SYSTEMS