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Variable static pressure adaptive fuzzy control method of variable air volume air conditioner system

An adaptive fuzzy and air-conditioning system technology, applied in fuzzy logic-based systems, CAD numerical modeling, instruments, etc., can solve the problem of incomplete coverage of effective fuzzy rules, etc., to achieve strong anti-interference control, short adjustment time, The effect of controlling process stability

Inactive Publication Date: 2020-06-16
XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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Problems solved by technology

[0003] The technical problem to be solved by the present invention is to provide a variable static pressure self-adaptive fuzzy control method for variable air volume air-conditioning systems in view of the deficiencies in the above-mentioned prior art. The traditional variable static pressure fuzzy control method relies on human experience to obtain fuzzy rules, resulting in The system has problems such as long control time, overshoot, and large energy consumption.
Through the learning ability of the subtractive clustering algorithm, the input samples are clustered and analyzed, the fuzzy quantification and fuzzy rules are optimized, and the fuzzy rules are trained by the neuro-fuzzy reasoning method to realize the VAV variable static pressure fuzzy control, which solves the effective fuzzy rule coverage of artificial experience summary Problems caused by incomplete rate

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  • Variable static pressure adaptive fuzzy control method of variable air volume air conditioner system

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Embodiment Construction

[0057] A variable static pressure adaptive fuzzy control method for a variable air volume air conditioning system, comprising the following steps:

[0058] S1. Before realizing the variable static pressure fuzzy control, simulate the air supply system of the variable air volume air conditioner through Matlab / Simulink software. The simulation objects are three adjacent rooms in the office area of ​​a laboratory building, and three phases of the office area are collected The relevant data of the adjacent room;

[0059] Simulation mathematical models include models of rooms, terminals, air ducts, fans, etc.

[0060] According to the conservation of energy, the room temperature change model is established, and the air is considered as a lumped parameter.

[0061]

[0062] Among them, ρ a is air density, kg / m 3 ; c a is the specific volume of the air supply, kJ / kg·℃; v is the volume of the air-conditioned room, m 3 ; Gs is the air supply volume, kg / s; T s is the air supply...

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Abstract

The invention discloses a variable static pressure adaptive fuzzy control method of a variable air volume air conditioner system. Before variable static pressure fuzzy control is achieved, through Matlab / Simulink software, the variable air volume air conditioner air supply system is subjected to analogue simulation, and data are collected; clustering subtraction is used for estimating the number of clusters and the cluster center position in one set of input data; screened input and output data are trained, and a Takigi-Sugeno fuzzy reasoning system capable of simulating data behaviors can begenerated; and a fuzzy rule obtained through training of a subtractive clustering method and an adaptive fuzzy reasoning system is applied to a variable static pressure fuzzy control system model. Through the method, the control process is more stable, anti-interference performance and energy saving performance are achieved, and the difficulty of rule obtaining through manual debugging can be solved to a certain degree.

Description

technical field [0001] The invention belongs to the technical field of energy-saving optimization control of a variable air volume air conditioning system, and in particular relates to a variable static pressure self-adaptive fuzzy control method for a variable air volume air conditioning system. Background technique [0002] At present, when dealing with the energy-saving part of the optimal control of the variable air volume air-conditioning system, many scholars put the energy-saving objects in the fan control and valve control. For the control of these two objects, fuzzy control is used more often, but most of them use fuzzy control. When completing fan or valve control, the fuzzy control rules all rely on human experience. Fuzzy reasoning is the most important part of the fuzzy control process. The quality of the rules will be directly reflected in the control effect, which will lead to problems such as long control time, overshoot, and large energy consumption in the s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F24F11/46F24F11/63G06F30/20G06F30/17G06N7/06G06F111/10G06F119/14G06F119/08
CPCF24F11/46F24F11/63G06N7/06
Inventor 于军琪余紫瑞赵安军王佳丽李若琳叶子雁
Owner XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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