| Citation: | Jia Baohui, Zhu Ziyu, Xue Peng. Correction of aero-engine component maps based on DAC-HOM with partitioned collaborative strategy[J]. Journal of Aerospace Power, 2026, 41（X）：20250583 doi: 10.13224/j.cnki.jasp.20250583
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To address the conflict between local adaptability and global consistency in aero-engine component map correction, a dynamic adaptive correction-hybrid optimization model (DAC-HOM) partition-based collaborative correction framework was proposed. The framework employed an embedded DAC-HOM as the unified correction kernel. By coupling this kernel with a Bernstein-basis adaptive surface characterized by dual degrees of freedom in rotational speed and operating-point distribution and a covariance-adaptive bandit-enhanced hippopotamus optimization algorithm (CABE-hippo), the framework enabled adaptive optimization and dynamic boundary adjustment for smooth characteristic surfaces. Building on this, a partition-based collaborative correction strategy for dual-source heterogeneous data was introduced, in which ground test conditions and high-altitude operating conditions represented by quick access recorder (QAR) flight data were corrected separately and then fused to obtain a globally consistent characteristic map. Compared with traditional progressive correction approaches, the proposed method effectively suppressed the propagation of local errors into the global region. Numerical results showed that the framework reduced the overall mean error to 2.61%, and decreased exhaust gas temperature, high-pressure rotor speed and fuel flow errors by 83.6%, 16.5%, and 46.8%, respectively. The proposed framework significantly improved the performance matching accuracy of aero-engine mathematical models at off-design points.
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