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• W2123762051 abstract "We describe a new method for design of adaptive controls for switching power converters that leverages the information-rich frequency response data obtained using the correlation-based analysis dubbed Digital Network Analyzer Technique. Compared to existing single-frequency based adaptive control methods such as limit-cycle and relay-feedback based autotuning, this method provides a unified approach to target many distinct problems plaguing converter control designers. The major strength of this method is that a single adaptive controller structure is able to fix multiple converter problems with a generalized and online identification and adaptation procedure. Also, unlike the conservative nature of robust control, adaptive control attempts to maintain relatively high performance at each time instant whenever possible. A step-by-step procedure is given which explains how the control platform can use the converter to perturb the system, identify the non-parametric frequency response of the plant, fit the data to a parametric model, and synthesize a control which meets user specifications. Simulation results are provided for a comprehensive set of realistic scenarios, where each test case uniquely degrades the converter frequency response. In each case, the performance and stability degradation is mitigated through targeted control adaptation." @default.
• W2123762051 created "2016-06-24" @default.
• W2123762051 creator A5024049341 @default.
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• W2123762051 date "2011-03-01" @default.
• W2123762051 modified "2023-09-27" @default.
• W2123762051 title "Adaptive control of power converters using Digital Network Analyzer Techniques" @default.
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• W2123762051 doi "https://doi.org/10.1109/apec.2011.5744844" @default.
• W2123762051 hasPublicationYear "2011" @default.
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