An Indirect Voltage Regulation for Boost Converters Using Robust Adaptive Sliding Mode Control
This paper presents an indirect adaptive sliding mode control (SMC) strategy for boost converters that are highly susceptible to input voltage fluctuations and load variations. The proposed control method ensures robust output voltage regulation by tracking the reference voltage to a desired value using a finite-time voltage control approach. To achieve this, the system is first transformed into a set of new state variables, enabling the generation of an accurate reference current signal. An adaptive estimation technique is then employed to compensate for uncertain parameters, including variations in input voltage and load resistance. A key feature of the proposed approach is the introduction of an adaptive sliding surface specifically designed to enhance tracking performance and improve output voltage regulation. The finite-time stability of the overall system, including the adaptive gain and sliding variable, is rigorously proven through theoretical analysis. Extensive simulation studies are conducted to validate the effectiveness of the proposed control scheme under various operating conditions, including different uncertainties in input voltage and load changes, as well as multiple reference voltage settings. The results demonstrate that the proposed control strategy ensures fast transient response, reduced steady-state error, and improved robustness, making it a suitable candidate for practical boost converter applications.
Authors
- Santosh Sonar (ORCID: https://orcid.org/0000-0001-5972-583X)
- Sanjoy Mondal (ORCID: https://orcid.org/0000-0003-1011-7627)
- Madhumita Pal (ORCID: https://orcid.org/0000-0002-4907-9763)
Institutions
- University of Engineering & Management (IN)
- Thapar Institute of Engineering & Technology (IN)
Publication Details
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1109/icoei65986.2025.11013763
- Citations
- 1
- Primary Topic
- Advanced DC-DC Converters
- Type
- article
- Field-Weighted Citation Impact
- 0.73