A Novel Predictive Control Scheme for Interleaved Buck Converter in Low Power Applications
This paper presents a model predictive control (MPC) approach for Interleaved Buck Converter in low power applications. Traditional PI-based control strategies have an arduous tuning process and can affect its performance when there are fluctuations in the operating point. Therefore, an MPC-based control strategy is proposed because of its simplicity, intuitiveness, ease of implementation, and inclusion of nonlinearities and constraints. Firstly, the model of Interleaved Buck Converter (IBC) is developed. Secondly, a two-loop control strategy is developed with predictive inner current control and outer voltage control for DC link voltage regulation. In comparison to traditional control strategies, the proposed one has a better dynamic response. Finally, simulation studies are done using MATLAB Simulink, and a prototype experimental setup is developed to validate the effectiveness of the proposed control strategy in the dSPACE1104 platform.
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