Algebraic Estimator based Model-free Predictive Control for Interleaved Buck Converter using Composite Simpson Rule

In order to solve the performance deterioration of interleaved buck converter under complex operational environments, a model-free predictive control based on algebraic estimator is proposed in this paper. Firstly, the mathematical model is replaced by ultra-local model to reduce the reliance of predictive model. Secondly, composite Simpson rule with low truncation error is applied in algebraic estimator to observe lumped disturbance accurately and improve the precision of predictive model. Thirdly, deadbeat control strategy and control delay compensation are designed to eliminate the effect of time delay. Finally, the effectiveness of proposed method is validated by experimental comparison.     «

In order to solve the performance deterioration of interleaved buck converter under complex operational environments, a model-free predictive control based on algebraic estimator is proposed in this paper. Firstly, the mathematical model is replaced by ultra-local model to reduce the reliance of predictive model. Secondly, composite Simpson rule with low truncation error is applied in algebraic estimator to observe lumped disturbance accurately and improve the precision of predictive model. Thir...     »