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Distributed model-free self-adaptive control technology for indoor heating, ventilation and air conditioning of building

A model-free adaptive, HVAC technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve the problem of control performance degradation and achieve the effect of improving control performance

Pending Publication Date: 2022-05-10
QINGDAO UNIV OF SCI & TECH
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Problems solved by technology

[0008] The above processing methods lead to the fact that if the complex system is sensitive to certain state responses of the system within a certain time window, the control law cannot respond in time, resulting in reduced control performance

Method used

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  • Distributed model-free self-adaptive control technology for indoor heating, ventilation and air conditioning of building
  • Distributed model-free self-adaptive control technology for indoor heating, ventilation and air conditioning of building
  • Distributed model-free self-adaptive control technology for indoor heating, ventilation and air conditioning of building

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Embodiment Construction

[0037] In order to better illustrate the purpose and advantages of the present invention, the content of the invention will be described in further detail below in conjunction with the embodiments and corresponding drawings.

[0038] Step S1: Establish the dynamic model of multi-zone HVAC, write it in matrix form and then discretize it.

[0039] Specifically, the following temperature dynamics model in a single room is established:

[0040]

[0041] It can be seen from the model that each room affects each other and has a complex topological relationship. External disturbances also increase the uncertainty of the system. The temperature dynamics model of each room can be written as:

[0042]

[0043] For the convenience of representation, it is expressed as a matrix and discretized:

[0044] T(t+1)=(I+ΔtC - R)T(t)+ΔtC - U(t)+ΔtC - ω(t) (a3)

[0045] Among them, T(t)=[T 1 (t),T 2 (t),...T z (t)] T , each element in the vector represents the temperature of each ...

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Abstract

The invention discloses a distributed model-free self-adaptive control technology for indoor heating, ventilation and air conditioning of a building, and belongs to the field of intelligent control. In order to solve the problem of building indoor multi-zone temperature control with complex topological information and external disturbance, the control scheme is as follows: establishing a dynamic model of a multi-zone heating ventilation air conditioner, writing the dynamic model into a matrix form, and discretizing the dynamic model; a single room physical model is expressed as a general non-affine nonlinear system, and a linear data model containing a pseudo gradient is converted through a differential median theorem; based on a linear data model, a distributed model-free adaptive control law is designed in combination with topology information; and designing a parameter estimation index function by combining a linear data model, and estimating an unknown pseudo gradient in the control method. According to the distributed model-free self-adaptive control technology for the indoor heating, ventilation and air conditioning of the building, a data driving method is used, the method does not depend on model information, only online and offline data and related topological information are used, the temperature adjusting performance of the heating, ventilation and air conditioning is improved, and the indoor temperature adjusting requirement of the building is met.

Description

technical field [0001] The invention relates to the technical field of intelligent control, in particular to a distributed model-free adaptive control technology for building indoor HVAC. Background technique [0002] With the development of science and technology in human society, energy issues have been paid more and more attention by scientists. In terms of energy consumption, building energy consumption accounts for a relatively high proportion, and the HVAC system, as an important temperature regulation system, is the key to consumption. Therefore, it will be a good idea to design related control algorithms to improve the performance of HVAC control and reduce energy consumption. [0003] For the HVAC system, we have the following points: A1: with strong nonlinearity; A2: with internal uncertainty and external interference; A3: with complex topological relationships between different regions. Among them, A1 and A2 mean that the system is difficult to obtain or accurat...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/02
CPCG05B13/024
Inventor 林娜池荣虎徐鉴张慧敏
Owner QINGDAO UNIV OF SCI & TECH
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