Issue |
E3S Web of Conf.
Volume 452, 2023
XV International Online Conference “Improving Farming Productivity and Agroecology – Ecosystem Restoration” (IPFA 2023)
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Article Number | 06024 | |
Number of page(s) | 9 | |
Section | Energy-Efficient Construction and Renovation | |
DOI | https://doi.org/10.1051/e3sconf/202345206024 | |
Published online | 30 November 2023 |
Synthesis of synergetic laws of control of nonlinear dynamic plants
1 Department of Information Processing and Control Systems, Faculty of Electronics and Automation, Tashkent State Technical University named after Islam Karimov, Tashkent, Uzbekistan
2 Department of Automation and Control of Technological Processes and Production, Faculty of Cotton Industry Technology, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan
* Corresponding author: holdav2015@gmail.com
Given in the work the facilities of applying the methods of the synergistic approach for the synthesis of the law of control of nonlinear dynamic plants. To give, robust properties of the control law were proposed by applying a principle of integral adaptation, which permitted compensation for the impact of the external and parametric disturbances. The realization synergistic law of control is carried out by when constructing the analytical design of aggregated controllers, which procure asymptotic sustainability of the control system for nonlinear dynamic plants. For procuring technological invariance proposed principle of the synergistic control. Formulated an extended dynamical model of the system, which included external and internal disturbances. The essence of proposing the approach is to use an extended model of the plant, taking into account disturbances due to the switching on of integrators and procuring compensation for the influence of disturbances, in distinction from known ones, where uses separate models for each disturbance. The suggested methodology has confirmed examples of digital simulation and has shown an efficient proposed approach to tasks synthesis of a nonlinear system of control with dynamical plants, procuring asymptotic sustainability of the control system and recouping unmeasured and internal disturbance.
© The Authors, published by EDP Sciences, 2023
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