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.
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Sushchenko, O. et al. (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, vol 13375. Springer, Cham. https://doi.org/10.1007/978-3-031-10522-7_15
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