Commissioning-calibrated GP-HOCBF safety filtering for ultra-supercritical boiler-turbine control under model mismatch

Ultra-supercritical boiler–turbine control requires coordinated pressure, separator-enthalpy, and power regulation under process dynamics. Model mismatch can make an upstream controller's proposed command inconsistent with operating constraints. This study develops RoCBF-SF, a Gaussian-process high-order control barrier function (GP-HOCBF) filter that projects proposed commands through a one-step quadratic program while retaining the upstream controller. Three residual GPs correct the model drift, and a chain-based uncertainty-weighted margin defines a tunable family of constraint tightenings. The analysis gives continuous-time forward invariance conditional on an independently valid total HOCBF-error bound and feasible full-row control. In a seven-state actuator-augmented benchmark with an exact input matrix, HOCBF without GP correction records 65,134/150,000 samples exceeding native-unit constraint tolerances across six drift-mismatch scenarios. A tune/test rule selects the GP-mean-only setting, ϵ κ = 0 . This setting, linear MPC, and GP-augmented nonlinear MPC each record 0/175,000 counted violations across nominal and mismatch conditions. The nonlinear reference reevaluates state-dependent residuals throughout its prediction horizon. Seeds held out from margin selection record zero counted violations and zero rejected QP candidates over 50,000 samples. Each seed uses a fitted, frozen GP; initial states and proposed-input sequences partially overlap with the main sweep. Applying the full implemented margin, ϵ κ = 1 , rejects 149,800/150,000 mismatch-scenario QP candidates under the deviation-input bounds. All benchmark filters share a bounded upstream proposal; MPC optimizes its own command sequence. Plant observations from a 660 MW unit comprise a 512-pair historian cohort, an illustrative matched pair of native 5 s windows, and 4320 controller-export records. The cohort's median pressure-residual standard deviation decreases by 3.93%, with a 95% post-day cluster-bootstrap interval of [-12.99,14.65]%. These observational comparisons include concurrent outage maintenance. Controller exports span 480.7–629.7 MW and document a fixed field configuration, ϵ κ = 0.1 . The GP remains frozen. All exported records have positive direct process margins; 43 records report guarded reduced-QP recovery. Maximum total task time is 28.665 ms against a 1000 ms deadline. The results identify GP mean correction as the effective benchmark component and characterize the operating range, recovery behavior, and execution time observed in the plant records.

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Publication Details

Journal
Measurement and Control
Published
2026-10-08
DOI
https://doi.org/10.1177/00202940261494894
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
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article

Commissioning-calibrated GP-HOCBF safety filtering for ultra-supercritical boiler-turbine control under model mismatch

Zhuang Shao, Jie Zhou, Lijun Lei, Peng Wang et al.
Measurement and Control
Advanced Control Systems Optimization
article

Commissioning-calibrated GP-HOCBF safety filtering for ultra-supercritical boiler-turbine control under model mismatch

Zhuang Shao, Jie Zhou, Lijun Lei, Peng Wang, Liang Zheng
article en

Abstract

Ultra-supercritical boiler–turbine control requires coordinated pressure, separator-enthalpy, and power regulation under process dynamics. Model mismatch can make an upstream controller's proposed command inconsistent with operating constraints. This study develops RoCBF-SF, a Gaussian-process high-order control barrier function (GP-HOCBF) filter that projects proposed commands through a one-step quadratic program while retaining the upstream controller. Three residual GPs correct the model drift, and a chain-based uncertainty-weighted margin defines a tunable family of constraint tightenings. The analysis gives continuous-time forward invariance conditional on an independently valid total HOCBF-error bound and feasible full-row control. In a seven-state actuator-augmented benchmark with an exact input matrix, HOCBF without GP correction records 65,134/150,000 samples exceeding native-unit constraint tolerances across six drift-mismatch scenarios. A tune/test rule selects the GP-mean-only setting, ϵ κ = 0 . This setting, linear MPC, and GP-augmented nonlinear MPC each record 0/175,000 counted violations across nominal and mismatch conditions. The nonlinear reference reevaluates state-dependent residuals throughout its prediction horizon. Seeds held out from margin selection record zero counted violations and zero rejected QP candidates over 50,000 samples. Each seed uses a fitted, frozen GP; initial states and proposed-input sequences partially overlap with the main sweep. Applying the full implemented margin, ϵ κ = 1 , rejects 149,800/150,000 mismatch-scenario QP candidates under the deviation-input bounds. All benchmark filters share a bounded upstream proposal; MPC optimizes its own command sequence. Plant observations from a 660 MW unit comprise a 512-pair historian cohort, an illustrative matched pair of native 5 s windows, and 4320 controller-export records. The cohort's median pressure-residual standard deviation decreases by 3.93%, with a 95% post-day cluster-bootstrap interval of [-12.99,14.65]%. These observational comparisons include concurrent outage maintenance. Controller exports span 480.7–629.7 MW and document a fixed field configuration, ϵ κ = 0.1 . The GP remains frozen. All exported records have positive direct process margins; 43 records report guarded reduced-QP recovery. Maximum total task time is 28.665 ms against a 1000 ms deadline. The results identify GP mean correction as the effective benchmark component and characterize the operating range, recovery behavior, and execution time observed in the plant records.

Measurement and Control
North China University of Water Resources and Electric Power (CN), China Resources (China) (CN), Tsinghua University (CN)
Openalex Percentile: Top 16%
Advanced Control Systems Optimization
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