An aircraft cabin temperature adaptive control system based on predictive control

By using an adaptive control system based on predictive control, the problems of accuracy and response speed in cabin temperature control of aircraft have been solved. This system achieves high precision, rapid response and adaptive capability in cabin temperature control, extends the mechanical life of valves, and improves cabin comfort and safety.

CN122064154BActive Publication Date: 2026-07-21NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Filing Date
2026-04-22
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing aircraft cabin temperature control systems cannot effectively handle cabin aging, changes in crew distribution, and non-uniform heat flow disturbances, resulting in decreased control accuracy and affecting valve mechanical lifespan. Furthermore, they have limited ability to handle sensor noise and unmodeled heat sources.

Method used

An adaptive control system based on predictive control is adopted. Noise is filtered out by a state cleaning module, a model wake-up module updates the high-dimensional predictive model, a prediction module optimizes the control sequence, and an execution module ensures that the temperature trajectory is within a safe range. Sensor noise and unmodeled heat sources are processed by combining high- and low-frequency fusion methods and orthogonal projection mechanisms.

Benefits of technology

It achieves high precision, rapid response, and adaptive capability for cabin temperature control, extends the mechanical life of valves, and improves cabin comfort and safety.

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Abstract

The application discloses a kind of aircraft cabin temperature adaptive control systems based on predictive control, it is related to temperature adaptive control technical field, including, state washing module is projected by manifold boundary and filters out sensor noise, output pure bottom state vector;Model wake-up module is based on information geometry feature evaluation high-dimensional prediction model and local directional update, realize the adaptive compensation to cabin body aging, occupant distribution change and non-uniform heat flow;Prediction module combines port hamilton energy topology equation, utilizes quadratic programming solver to calculate optimal control sequence under absolute passivity constraint, avoids hot and cold air hedging internal loss;Execution module utilizes flight path information entropy dynamic adjustment error envelope, intercepts or issues valve control instruction.The system fuses high and low frequency state estimation, sensitivity-driven parameter update and physical constraint optimization, realizes cabin temperature high-precision, fast response and adaptive control, while guaranteeing physical rationality and actuator life.
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