EPE Association: EPE 2023 - DS3e: Estimation, Identification and Optimisation Methods

EPE 2023 - DS3e: Estimation, Identification and Optimisation Methods
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2023 ECCE Europe - Conference > EPE 2023 - Topic 04: Electrical Machines and Drive Systems > EPE 2023 - DS3e: Estimation, Identification and Optimisation Methods

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   Improving Steinmetz Parameters for Iron Loss Characterization with a Magnetic Measurement Kit
By Xiaobing SHEN, Hans WOUTERS, Wilmar MARTINEZ [View]
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Abstract: The non-linear features of iron losses forhigh-frequency components have posed great challengesfor accurately estimating iron loss. Engineers commonlyrely on practical models such as Steinmetz Equation (SE)families to predict iron losses. The constant parametersof the SE models for a certain magnetic material areobtained through curve fitting of its datasheet. However, itis crucial to acknowledge that the iron loss density variesacross different shapes and sizes of cores from the samematerial, which consequently affects the SE parameters.In this paper, a four-wire measurement kit is presented.Modified SE parameters for different sizes of a specificmagnetic material are derived based on experimentaldata. The predictions using these modified parametersdemonstrate higher accuracy compared to results obtainedusing constant Steinmetz parameters.

   Real-Time Parameter Estimations of DC-AC Converters Using a Kalman Filter Approach
By Yuan HUANG, Matthew ARMSTRONG, Shafiq ODHANO, Mohamed AHMEID [View]
[Download]

Abstract: This paper proposes an approach for real-time parameter estimation of inverter-based systems, with validation via simulation. The Recursive Least Squares (RLS) and the Kalman Filter (KF) algorithms are compared and evaluated, with the KF showing the advantage of maintaining stability and responsiveness due to its covariance matrix update scheme.

EPE 2023 - DS3e: Estimation, Identification and Optimisation Methods
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2023 ECCE Europe - Conference > EPE 2023 - Topic 04: Electrical Machines and Drive Systems > EPE 2023 - DS3e: Estimation, Identification and Optimisation Methods
	[return to parent folder]

	Improving Steinmetz Parameters for Iron Loss Characterization with a Magnetic Measurement Kit By Xiaobing SHEN, Hans WOUTERS, Wilmar MARTINEZ	[View] [Download]
Abstract: The non-linear features of iron losses forhigh-frequency components have posed great challengesfor accurately estimating iron loss. Engineers commonlyrely on practical models such as Steinmetz Equation (SE)families to predict iron losses. The constant parametersof the SE models for a certain magnetic material areobtained through curve fitting of its datasheet. However, itis crucial to acknowledge that the iron loss density variesacross different shapes and sizes of cores from the samematerial, which consequently affects the SE parameters.In this paper, a four-wire measurement kit is presented.Modified SE parameters for different sizes of a specificmagnetic material are derived based on experimentaldata. The predictions using these modified parametersdemonstrate higher accuracy compared to results obtainedusing constant Steinmetz parameters.

	Real-Time Parameter Estimations of DC-AC Converters Using a Kalman Filter Approach By Yuan HUANG, Matthew ARMSTRONG, Shafiq ODHANO, Mohamed AHMEID	[View] [Download]
Abstract: This paper proposes an approach for real-time parameter estimation of inverter-based systems, with validation via simulation. The Recursive Least Squares (RLS) and the Kalman Filter (KF) algorithms are compared and evaluated, with the KF showing the advantage of maintaining stability and responsiveness due to its covariance matrix update scheme.