Accuracy of measuring and observation processes depends greatly on the stabilization of the appropriate equipment located on moving vehicles. We propose to design stabilization systems based on robust control that can ensure the required accuracy in difficult conditions of real operation. The main issue of the research is the development of numerical algorithms for designing robust stabilization systems assigned for control of inertial platforms motion. The analysis of applications and classification of inertially stabilized platforms is given. The block diagram of the algorithm of the robust parametrical optimization is represented. Features of this numerical algorithm are discussed including forming the optimization criterion and implementation of the optimization procedure. The block diagram of the robust structural synthesis is represented. Features of forming the function of mixed sensitivity are given. Results of simulation for the inertially stabilized platforms assigned for the operation of the ground moving vehicles are shown.
Gervasi, O., Murgante, B., Hendrix, E.M.T., Taniar, D., Apduhan, B.O. (eds) Computational Science and Its Applications – ICCSA 2022. ICCSA 2022. Lecture Notes in Computer Science
Volume
13375
Year of publishing
2022
Citation
DSTU
Sushchenko O., Averyanova Yu., Ostroumov I.V., Kuzmenko N.S., Zaliskyi M., Solomentsev O., Kuznetsov B., Nikitina T., Havrylenko O., Popov A., Volosyuk V., Shmatko O., Ruzhentsev N., Zhyla S., Pavlikov V., Dergachov K., Tserne E.Algorithms for Design of Robust Stabilization Systems. Gervasi, O., Murgante, B., Hendrix, E.M.T., Taniar, D., Apduhan, B.O. (eds) Computational Science and Its Applications – ICCSA 2022. ICCSA 2022. Lecture Notes in Computer Science. . № 13375. P. 198-213 DOI: 10.1007/978-3-031-10522-7_15.
IEEE
O. Sushchenko et al., "Algorithms for Design of Robust Stabilization Systems," in Gervasi, O., Murgante, B., Hendrix, E.M.T., Taniar, D., Apduhan, B.O. (eds) Computational Science and Its Applications – ICCSA 2022. ICCSA 2022. Lecture Notes in Computer Science, vol. 13375, , pp. 198-213, doi:10.1007/978-3-031-10522-7_15.
Harvard
Sushchenko O., Averyanova Yu., Ostroumov I.V., Kuzmenko N.S., Zaliskyi M., Solomentsev O., Kuznetsov B., Nikitina T., Havrylenko O., Popov A., Volosyuk V., Shmatko O., Ruzhentsev N., Zhyla S., Pavlikov V., Dergachov K., and Tserne E., 2022. Algorithms for Design of Robust Stabilization Systems. In Gervasi, O., Murgante, B., Hendrix, E.M.T., Taniar, D., Apduhan, B.O. (eds) Computational Science and Its Applications – ICCSA 2022. ICCSA 2022. Lecture Notes in Computer Science, 13375 (pp. 198-213).
Springer
Sushchenko, O., Averyanova, Yu., Ostroumov, I.V., Kuzmenko, N.S., Zaliskyi, M., Solomentsev, O., Kuznetsov, B., Nikitina, T., Havrylenko, O., Popov, A., Volosyuk, V., Shmatko, O., Ruzhentsev, N., Zhyla, S., Pavlikov, V., Dergachov, K., Tserne, E.: Algorithms for Design of Robust Stabilization Systems. Gervasi, O., Murgante, B., Hendrix, E.M.T., Taniar, D., Apduhan, B.O. (eds) Computational Science and Its Applications – ICCSA 2022. ICCSA 2022. Lecture Notes in Computer Science 13375, 198-213 (2022). doi:10.1007/978-3-031-10522-7_15.
BibTex
@InProceedings{10.1007/978-3-031-10522-7_15,
author="Sushchenko, Olha
and Averyanova, Yuliya
and Ostroumov, Ivan
and Kuzmenko, Nataliia
and Zaliskyi, Maksym
and Solomentsev, Oleksandr
and Kuznetsov, Borys
and Nikitina, Tatyana
and Havrylenko, Olena
and Popov, Anatoliy
and Volosyuk, Valerii
and Shmatko, Oleksandr
and Ruzhentsev, Nikolay
and Zhyla, Simeon
and Pavlikov, Vladimir
and Dergachov, Kostiantyn
and Tserne, Eduard",
editor="Gervasi, Osvaldo
and Murgante, Beniamino
and Hendrix, Eligius M. T.
and Taniar, David
and Apduhan, Bernady O.",
title="Algorithms for Design of Robust Stabilization Systems",
booktitle="Computational Science and Its Applications -- ICCSA 2022",
year="2022",
publisher="Springer International Publishing",
address="Cham",
pages="198--213",
abstract="Accuracy of measuring and observation processes depends greatly on the stabilization of the appropriate equipment located on moving vehicles. We propose to design stabilization systems based on robust control that can ensure the required accuracy in difficult conditions of real operation. The main issue of the research is the development of numerical algorithms for designing robust stabilization systems assigned for control of inertial platforms motion. The analysis of applications and classification of inertially stabilized platforms is given. The block diagram of the algorithm of the robust parametrical optimization is represented. Features of this numerical algorithm are discussed including forming the optimization criterion and implementation of the optimization procedure. The block diagram of the robust structural synthesis is represented. Features of forming the function of mixed sensitivity are given. Results of simulation for the inertially stabilized platforms assigned for the operation of the ground moving vehicles are shown.",
isbn="978-3-031-10522-7"
}