Performance Aware Residual-Space Resonant Control: A Two-Part Computational Study of the Matthews Residual Framework Part I: Wireless Power Transfer (Two Resonators) Part II: Tesla-Style Branch Management (Four Resonators)

This preprint presents two independently validated computational studies of adaptive resonant control, unified by a shared mathematical framework for identifying and holding the power-optimal operating state of a coupled resonant system, as distinct from the phase-locked state, which this work shows is frequently not the same thing. Part I develops closed-form residual-space mathematics for pairs and triads of coupled phases and validates a shifted-residual, search–identify–hold–reacquire controller on a two-resonator wireless-power-transfer plant. All electrical results were produced by an independent computational reconstruction after the original implementation became unavailable; a settling-time methodological error discovered during that reconstruction is documented in full, including its effect on every affected result, rather than silently corrected. Part II extends the same architectural principle to a four-resonator plant patterned on resonant-transformer topology, with a three-component residual vector, degradation- and opportunity-triggered reacquisition, and an extensive robustness and nonideality study. Every headline numerical claim in this part, including a 60-case robustness matrix and four separate nonideality studies, was independently reproduced to within Monte Carlo precision. A head-to-head comparison against standard perturb-and-observe control (the actual industry-standard method) is included, along with the correction of a bug found during that comparison’s own construction. A bridging section proves that the two parts’ residual constructions are not independent choices but the same covector/Gram-matrix formalism at different scales, with a general theorem covering a chain of any length. The central finding common to both parts: a controller can hold a branch with near-perfect phase coherence while delivering only a small fraction of the power actually available, demonstrated here as a reproducible failure mode, not a hypothetical one, in two structurally different plants. This is a computational study. No hardware has been tested, and the paper states explicitly, throughout, what is and is not established by the results presented. A brief note on the name: this framework is named in memory of my sister, Tracey Matthews, who encouraged me toward this area. This is a personal dedication and implies nothing about the correctness or importance of what follows, that should be judged on the mathematics, code, and results alone.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-17
DOI
https://doi.org/10.5281/zenodo.21419818
Primary Topic
Wireless Power Transfer Systems
Type
preprint
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Performance Aware Residual-Space Resonant Control: A Two-Part Computational Study of the Matthews Residual Framework Part I: Wireless Power Transfer (Two Resonators) Part II: Tesla-Style Branch Management (Four Resonators)

Stephanie L. Onweller
Zenodo (CERN European Organization for Nuclear Research)
Wireless Power Transfer Systems
preprint

Performance Aware Residual-Space Resonant Control: A Two-Part Computational Study of the Matthews Residual Framework Part I: Wireless Power Transfer (Two Resonators) Part II: Tesla-Style Branch Management (Four Resonators)

Stephanie L. Onweller
preprint en

Abstract

This preprint presents two independently validated computational studies of adaptive resonant control, unified by a shared mathematical framework for identifying and holding the power-optimal operating state of a coupled resonant system, as distinct from the phase-locked state, which this work shows is frequently not the same thing. Part I develops closed-form residual-space mathematics for pairs and triads of coupled phases and validates a shifted-residual, search–identify–hold–reacquire controller on a two-resonator wireless-power-transfer plant. All electrical results were produced by an independent computational reconstruction after the original implementation became unavailable; a settling-time methodological error discovered during that reconstruction is documented in full, including its effect on every affected result, rather than silently corrected. Part II extends the same architectural principle to a four-resonator plant patterned on resonant-transformer topology, with a three-component residual vector, degradation- and opportunity-triggered reacquisition, and an extensive robustness and nonideality study. Every headline numerical claim in this part, including a 60-case robustness matrix and four separate nonideality studies, was independently reproduced to within Monte Carlo precision. A head-to-head comparison against standard perturb-and-observe control (the actual industry-standard method) is included, along with the correction of a bug found during that comparison’s own construction. A bridging section proves that the two parts’ residual constructions are not independent choices but the same covector/Gram-matrix formalism at different scales, with a general theorem covering a chain of any length. The central finding common to both parts: a controller can hold a branch with near-perfect phase coherence while delivering only a small fraction of the power actually available, demonstrated here as a reproducible failure mode, not a hypothetical one, in two structurally different plants. This is a computational study. No hardware has been tested, and the paper states explicitly, throughout, what is and is not established by the results presented. A brief note on the name: this framework is named in memory of my sister, Tracey Matthews, who encouraged me toward this area. This is a personal dedication and implies nothing about the correctness or importance of what follows, that should be judged on the mathematics, code, and results alone.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Wireless Power Transfer Systems
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