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What is Real-Time Parameter Estimation of DCDC Converters Using A Self-Tuned Kalman Filter about?

This paper presents a novel method for real-time parameter estimation of synchronous dc–dc buck converters using a self-tuned Kalman filter (KF). The proposed KF approach enhances tracking performance by allowing different rates for updating parameter coefficients, demonstrating robust estimation even under abrupt load changes. Experimental results validate its effectiveness compared to traditional methods like the exponentially weighted recursive least-squares (ERLS) algorithm, highlighting faster converge

Author

leamusalberto

Language

EN