Paper
19 October 2023 Sliding mode control of LLC resonant converters
Jianning Lu, Jing He
Author Affiliations +
Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 127093X (2023) https://doi.org/10.1117/12.2685636
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China
Abstract
High-frequency conversion is an effective way to reduce the size and weight of power converters and to improve the efficiency and power density of converters. The LLC resonant converter has been widely used because of its ability to work at no-load and resonant tank current reflecting the lightness of the load, which is an advantage that ordinary series resonant converter and parallel resonant converter cannot match. Sliding mode variable structure control is essentially a special type of nonlinear control, whose nonlinearity is manifested in the discontinuity of the control, the difference between this control strategy and other controls is that the "structure" of the system is not fixed, but can be changed in the dynamic process according to the current state of the system (such as the deviation and its derivatives of each order, etc.) on purpose The system is forced to follow a predetermined "sliding mode" trajectory. Since the sliding mode can be designed independently of the object parameters and perturbations, this makes the variable structure control fast, insensitive to parameter changes and perturbations, does not require online system identification, and is physically simple to implement.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jianning Lu and Jing He "Sliding mode control of LLC resonant converters", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 127093X (19 October 2023); https://doi.org/10.1117/12.2685636
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KEYWORDS
Control systems

Complex systems

Computer simulations

Design and modelling

Digital filtering

Inductance

Resistance

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