Centrifugal heat pump control method based on machine self-learning

By employing a machine learning-based control method and utilizing a dynamic pressure sensor and a fractional-order PID controller, we have achieved look-ahead prediction and online self-tuning of surge margin for centrifugal heat pumps. This solves the problem of coordinating surge suppression and energy efficiency improvement, thereby enhancing operational stability and economy.

CN122129822APending Publication Date: 2026-06-02JINAN HEXIN ENERGY TECH CO LTD
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
JINAN HEXIN ENERGY TECH CO LTD
Filing Date
2026-04-30
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing centrifugal heat pump control methods struggle to balance surge suppression and energy efficiency improvement. They suffer from issues such as surge margin assessment being based solely on post-event assessments, fixed controller parameters lacking self-adaptability, and a lack of online self-learning mechanisms, resulting in insufficient operational stability and economic efficiency.

Method used

A machine learning-based control method is adopted, which extracts modal amplitude and phase index values ​​through dynamic pressure sensors, and combines fuzzy rule base and fractional PID controller to achieve look-ahead prediction and online self-tuning of surge margin, and optimize guide vane angle to improve operational stability and efficiency.

Benefits of technology

It enables forward characterization of surge precursors and adaptive correction of the controller, improving the operational stability and economy of centrifugal heat pumps over a wide range of operating conditions, and avoiding the passive response and energy efficiency sacrifice of traditional methods.

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Abstract

This invention discloses a centrifugal heat pump control method based on machine self-learning, belonging to the field of machine learning technology. The method includes the following steps: Step 1, synchronously sampling the output signals of multiple dynamic pressure sensors evenly distributed circumferentially at the inlet of the centrifugal heat pump compressor; Step 2, sending the input observation vector into the reservoir computing network of the edge controller, which consists of an input mapping layer, a reservoir layer, and an output mapping layer, to obtain the surge margin change rate prediction value by performing a first-order difference on the surge margin prediction values ​​of adjacent control cycles; Step 3, under the constraint of the feasible range of guide vane angle limited by the surge margin setpoint, determining the guide vane angle command value of the current control cycle by combining the pre-stored centrifugal heat pump efficiency characteristic diagram, and outputting it to the guide vane actuator. This invention improves the overall operational stability and economic efficiency of the centrifugal heat pump over a wide operating range.
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