一种载气蒸发冷凝器的控制方法及系统
By constructing a parallel model and using wavelet transform to separate interference signals, the problems of control accuracy and stability of the carrier gas evaporator condenser were solved, and adaptive adjustment and high-precision control were achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- LONGHUA TECHNOLOGY GROUP (LUOYANG) CO LTD
- Filing Date
- 2026-06-18
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional carrier gas evaporator condenser control methods are difficult to establish high-precision models and cannot effectively identify and compensate for nonlinear deviations, resulting in poor adaptability of fixed control parameters and easy to cause frequent actuator actions and unstable operation.
A process model consisting of a mechanistic sub-model and a neural network sub-model is constructed in parallel. The network weights are updated online using a sliding time window regularization parameter estimation method. Interference signals are separated by multi-resolution wavelet transform. The control output is optimized through an internal model controller to achieve adaptive adjustment.
It improves the control accuracy and operational stability of the carrier gas evaporator condenser, suppresses frequent actuator movements caused by high-frequency noise, and enhances anti-interference capabilities.
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Figure CN122408485A_ABST
Abstract
Citation Information
Patent Citations
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CN113606817A