Parameter Estimation-Based Super Twisting Sliding Mode Control Strategy Implemented on a Bidirectional Diso DC-DC Converter
In this study, a rapid and resilient control strategy, referred to as parameter estimation-based super twisting sliding mode control (PEB-STSMC), is introduced. The PEB-STSMC comprises two key components: a reduced-order extended state observer (ROESO) for estimation and a chattering-free super twisting sliding mode controller (STSMC). The ROESO is designed to estimate one of the system's states, thereby minimizing the need for additional sensors and reducing the overall system cost. The bidirectional dual-input single-output (BDISO) converter featured in this work includes multiple ports, such as a DC power source port, an energy storage port, and an output port. A key focus in designing the PEB-STSMC controller is to ensure that the controlled states closely follow their reference values with the quickest possible dynamics while minimizing over/undershoot across different operational modes, such as buck and boost modes. The proposed control strategy's effectiveness is evaluated through simulation studies, where its performance is benchmarked against conventional methods, such as a finely tuned proportional-integral (PI) controller, a fixed-frequency sliding mode controller (FSMC), and a super twisting controller (STC). These comparisons are carried out using MATLAB/SIMULINK software to highlight the superior performance and benefits of the proposed approach.
Authors
- Saeed Hosseinnataj (ORCID: https://orcid.org/0009-0005-6995-5168)
- Jafar Adabi (ORCID: https://orcid.org/0000-0001-6743-1153)
- Majid Mehrasa (ORCID: https://orcid.org/0000-0002-7231-8996)
- Amirhossein Hosseini
Institutions
- University of New Orleans (US)
- Université de Lille (FR)
- École Centrale de Lille (FR)
- Babol Noshirvani University of Technology (IR)
Publication Details
- Published
- 2025-04-21
- DOI
- https://doi.org/10.1109/ictem66196.2025.11063580
- Primary Topic
- Advanced DC-DC Converters
- Type
- article
- Field-Weighted Citation Impact
- 0.00