MARGIN OF STABILITY OF THE TIME-VARYING CONTROL SYSTEM FOR ROTATIONAL MOTION OF THE ROCKET
DOI:
https://doi.org/10.15588/1607-3274-2024-3-16Keywords:
rocket motion control, time-varying system, Laplace transformAbstract
Context. The rocket motion control system is time-varying, since its parameters during flight depend on the point of the trajectory and fuel consumption. Stability margin indicators are determined in a limited area of individual points of the trajectory using algorithms that are developed only for linear stationary systems, which leads to the need to enter stock factor in hardware. In the available sources, due attention is not paid to the development of methods for determining the quantitative assessment of the stability margin of the time-varying control system.
Objective is to develop a methodological support for the construction of an algorithm for calculating the stability margin indicators of the time-varying system for controlling the rocket rotational motion in the plane of yawing using the equivalent stationary approximation at a selected trajectory section.
Method. The mathematical model of the control system for the rocket rotational movement in one plane is adopted in the form of a linear differential equation without considering the inertia of the executive device and other disturbing factors. The effect of deviation of parameters from their average values for a certain trajectory section is considered as a disturbance, which makes it possible to transition from a non-stationary model to an equivalent approximate stationary one. The Nyquist criterion is used to estimate the stability margin indicators, which is based on the analysis of the frequency characteristic of an open system, for the determination of which the Laplace transform mathematical apparatus is used. To simplify the transition from functions of time in the differential equation of perturbed motion to functions of a complex variable in the Laplace transform, time-varying model parameters are presented in the form of a sum of exponential functions.
Result. Methodological support was developed for building an algorithm for determining the stability margin of the rocket’s rotary motion control system at a given trajectory section with time-inconstant parameters.
Conclusions. Using the example of the time-varying system for controlling the rocket rotational movement, the possibility of using the Laplace transformation to determine the stability margin indicators is shown.
The obtained results can be used at the initial stage of project work.
The next stage of the research is an assessment of the level of algorithm complexity, considering the inertia of the executive device and the disturbed movement of the mass center.
References
Ihdalov I. M., Kuchma L. D., Poliakov M. V. et. al. Dynamic designing of rockets. Dynamic problems of rockets and space stages: Д44 monograph. D., ЛІРА, 2013, 280 p.
Tianrui Zhao, Zhou Bin, Michiel Wim Stability analysis of linear time-varying time-delay systems by non-quadratic Lyapunov functions with indefinite derivatives, Systems & Control Letters, 2018, No. 122, pp. 77-85. doi.org/10.1016/ j.sysconle.2018.09.012.
Zhou Bin, Yang Tian, James Lam On construction of Lyapunov functions for scalar linear time-varying systems, Systems & Control Letters, 2020, No. 135, P. 104591. doi.org/10.1016/j.sysconle. 2019.104591.
Kawano Yu. Converse stability theorems for positive linear time-varying systems, Automatica, 2020, No. 122, P. 109193. doi.org/10.1016/ j.automatica.2020.109193.
Zhou Bin On asymptotic stability of linear time-varying systems, Automatica, 2016, No. 68, pp. 266-276. doi.org/10.1016/j.automatica. 2015.12.030.
Peter Seiler, Moore Robert M., Meissen Chris et. al. Finite horizon robustness analysis of LTV systems using integral quadratic constraints, Automatica, 2019, No. 100, pp. 135-143. doi. org/ 10.1016/j.automatica.2018.11.009.
Bin Zhou Lyapunov differential equations and inequalities for stability and stabilization of linear time-varying systems Automatica, 2021, No. 131, P. 109785. doi.org/10.1016/j.automatica. 2021. 109785.
Mullhaupt Ph., Buccieri D., Bonvin D. A numerical sufficiency test for the asymptotic stability of linear time-varying systems, Automatica, 2007, No. 43, Issue 4, pp. 631-638. doi.org/ 10.1016/j.automatica.2006.10.014.
Xiaochen Xie, James Lam, Chenchen Fan et. al. A polynomial blossoming approach to stabilization of periodic timevarying systems, Automatica, 2022, No. 141, P. 110305. doi.org /10. 1016/j.automatica.2022.110305.
Snyder Steven, Zhao Pan, Hovakimyan Naira Adaptive control for linear parameter-varying systems with application to a VTOL aircraft, Aerospace Science and Technology, 2021, No. 112, P. 106621. doi.org/10.1016/j.ast.2021.106621.
Tian Bailing, Zong Qun, Wang Jie et al. Quasi-continuous high-order sliding mode controller design for reusable launch vehicles in reentry phase, Systems & Control Letters, 2013, No. 28.1, pp. 198-207. doi.org/10.1016/j.ast.2012.10.015.
Xingling Shao, Honglun Wang, HuiPing Zhang Enhanced trajectory linearization control based advanced guidance and control for hypersonic reentry vehicle with multiple disturbances, Aerospace Science and Technology, 2015, No. 46, pp. 523-536. doi.org/10.1016/j.ast.2015.09.003.
Yu Wenbin, Chen Wanchun, Jiang Zhiguo et. al. Analytical entry guidance for no-fly-zone avoidance, Aerospace Science and Technology, 2018, No. 72, pp. 426-442. doi.org/10.1016/j.ast. 2017. 11.029.
Wenbin Yu, Chen Wanchun, Jiang Zhiguo et. al. Analytical entry guidance for coordinated flight with multiple no-flyzone constraints, Aerospace Science and Technology, 2019. No. 84, pp. 273-290. doi.org/10.1016/j.ast.2018.10.013.
Zhang Whanging, Chen, Li Jinglin et al. Guidance algorithm for impact time, angle, and acceleration control under varying velocity condition, Systems & Control Letters, 2022, No. 123, P. 107462. doi.org/10.1016/ j.ast. 2022.107462.
Zhang Baoyong, Xu Shengyuan, Ma Qian et al. Outputfeedback stabilization of singular LPV systems subject to inexact scheduling parameters, Automatica, 2019, No. 104, pp. 1-7. doi.org/10.1016/j.automatica.2019.02.047.
Avdieiev V. V. Opredelenye parametrov modely systemyi stabylyzatsyy raketyi v protsesse poleta, Mezhdunarodnyi nauchno-tekhnycheskyi zhurnal «Problemyi upravlenyia y ynformatyky», 2021, No. 6, pp. 7892. (In Russian). doi.org/10. 34229/1028-0979-2021-6-8.
Daniel Silvestre. Set-valued estimators for uncertain linear parameter-varying systems, Systems & Control Letters, 2022, No. 166. 105311. doi.org/10.1016/j.sysconle.2022.105311.
Bako Laurent, Ndiaye Seydi, Blanco Eric An intervalvalued recursive estimation framework for linearly parameterized systems, Systems & Control Letters, 2022, No. 168, P. 105345. doi.org/ 10.1016/j.sysconle.2022.105345.
Tranninger Markus, Seeber Richard, Horn Martin Strong detectability and observers for linear time-varying systems, Systems & Control Letters, 2022, No. 170, P. 105398. doi.org/10.1016/ j.sysconle.2022.105398.
Korotina M., Romero J. G., Aranovskiy S. et al. A new online exponential parameter estimator without persistent excitation, Systems & Control Letters, 2022, No. 159, P. 105079. doi.org/10.1016/j.sysconle.2021.105079.
Golzari Ali, Pishkenari Hossein Nejat, Salarieh Hassan et al. Quaternion based linear time-varying model predictive attitude control for satellites with two reaction wheels, Aerospace Science and Technology, 2020, No. 98, P. 105677. doi.org/ 10.1016/j.ast.2019.105677.
Salahshoor Karim, Khaki-Sedigh Ali, Sarhadi Pouria An indirect adaptive predictive control for the pitch channel autopilot of a flight system, Aerospace Science and Technology, 2015, No. 45, pp. 78-87. doi.org/10.1016/ j.ast. 2015.04.016.
Sanchez Julio C., Gavilan Francisco, Vasquez Rafael Chance-constrained Model Predictive Control for Near Rectilinear Halo Orbit spacecraft rendezvous,Aerospace Science and Technology, 2020, No.100, P. 105827. doi.org/10.1016/ j.ast. 2020. 105827.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 V. V. Avdieiev, A. E. Alexandrov
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Creative Commons Licensing Notifications in the Copyright Notices
The journal allows the authors to hold the copyright without restrictions and to retain publishing rights without restrictions.
The journal allows readers to read, download, copy, distribute, print, search, or link to the full texts of its articles.
The journal allows to reuse and remixing of its content, in accordance with a Creative Commons license СС BY -SA.
Authors who publish with this journal agree to the following terms:
-
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License CC BY-SA that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
-
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
-
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.