Control system of damper of variable-air-volume air distributor and control method thereof

Patent metadata

Field	Value
Publication number	US-12129010-B2
Application number	US-202117439812-A
Country	US
Kind code	B2
Filing date	Mar 23, 2021
Priority date	Sep 23, 2020
Publication date	Oct 29, 2024
Grant date	Oct 29, 2024

Abstract

Disclosed is a control method of a damper of a variable-air-volume air distributor and a control system thereof, mainly comprising a volume adjusting valve for the variable-air-volume air distributor, a valve actuator, a BP neural network-based main controller, a data collector and a user operation panel. The control method thereof is to use, mainly based on the collected room temperature and static pressure at the inlet of the air distributor, the BP neural network predictive model to establish a nonlinear model of temperature & static pressure and valve opening, perform training and optimization, and optimize the output valve opening to obtain and label an optimal value as the set value of the controller to control the action of the valve actuator, thereby realizing an automatic variable air volume.

First claim

What is claimed is:

1. A control system of a damper of a variable-air-volume air distributor, comprising a volume adjusting valve for the variable-air-volume air distributor, a valve actuator, a BP (Back-Propagation) neural network-based main controller, a data collector and a user operation panel, wherein a signal of a set temperature of the user operation panel is connected to an input of the BP neural network-based main controller, the data collector collects room temperature and a static pressure at an inlet of the variable-air-volume air distributor, the collected data is connected to the input of the BP neural network-based main controller through different sensors, and an output of the BP neural network-based main controller is connected to an input of the valve actuator;
wherein the BP neural network-based main controller comprises a BP neural network predictive control module;
wherein the BP neural network predictive control module is a dual-input single-output module; and by setting two inputs of the BP neural network model for an opening action of the damper as a static pressure u and a demanded air volume v within an air duct, respectively, and one output as a valve opening y, the established mathematical model of the opening action of the damper is as follows:

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Assignees

• Univ Jiangsu Science & Tech

Inventors

• Feng Guozeng
• Meng Bo
• Bao Guozhi
• Gu Xinxin
• Gu Chen
• Xu Tong

Classifications

• F24F2110/40

  Pressure, e.g. wind pressure · CPC title

• F24F2110/10

  Temperature · CPC title

• F24F11/755

  for cyclical variation of air flow rate or air velocity · CPC title

• F24F11/63

  Electronic processing · CPC title

• B60H1/00835

  Damper doors, e.g. position control (construction or arrangement of damper doors B60H1/00664; B60H1/00864 takes precedence) · CPC title