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Adjusting the Parameters of the Adaptive Regulator in Super Twisting Sliding Mode Control for a Class of Uncertain Nonlinear Systems Based on Jaya Algorithm
https://doi.org/10.17586/0021-3454-2025-68-6-482-493
Abstract
An approach to adjusting the parameters of adaptive control in a sliding mode with super-twisting, used for nonlinear systems with parametric uncertainty, is presented. The approach is based on Jaya algorithm, which ensures the efficiency and stability of the control system in changing conditions. Taking into account the complexity of the model description and the presence of uncertainty, as well as fine-tuning the parameters of the regulator in sliding mode with supercooling are essential to ensure optimal system performance. The influence of various system parameters on its behavior and stability is studied using the Jaya algorithm, which ensures the achievement of an optimal mode of operation. The results of numerical simulation show that adaptive control of a nonlinear system in a sliding mode with super-twisting, optimized using the Jaya algorithm, provides higher system performance and resistance to interference, compared with traditional approaches. The effectiveness of the proposed approach is confirmed by the example of an inverted pendulum model on a trolley.
About the Authors
D. L. Hoang
ITMO University
Russian Federation
Russian Federation
Duc L. Hoang — Post-Graduate Student; Faculty of Control Systems and Robotics,
St. Petersburg.
N. A. Dudarenko
ITMO University
Russian Federation
Russian Federation
Natalia A. Dudarenko — PhD, Associate Professor; Faculty of Control Systems and Robotics,
St. Petersburg.
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Review
For citations:
Hoang D.L., Dudarenko N.A. Adjusting the Parameters of the Adaptive Regulator in Super Twisting Sliding Mode Control for a Class of Uncertain Nonlinear Systems Based on Jaya Algorithm. Journal of Instrument Engineering. 2025;68(6):482-493. (In Russ.) https://doi.org/10.17586/0021-3454-2025-68-6-482-493
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