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Iterative learning refrigeration control system and method based on fractional order

A refrigeration system and iterative learning technology, applied to controllers, refrigerators, and refrigeration components with specific characteristics, can solve problems such as model inaccuracy, dead time, high thermal inertia, etc., to increase the degree of freedom in setting and improve robustness The effect of enhancing the degree of freedom of adjustment

Active Publication Date: 2020-06-09
SHANDONG UNIV
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  • Claims
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Problems solved by technology

However, many of the challenges associated with refrigeration system control arise from the fundamental characteristics of the components themselves and the heat transfer process, which lead to high thermal inertia, dead times, high coupling between variables, and strong nonlinearities
Therefore, refrigeration systems are complex systems with nonlinearities, and it is difficult to obtain an accurate model of the process
In previous work, model-based feedback controllers were used to control complex single-stage refrigeration processes, and the inaccuracy of the model would lead to poor control performance
[0005] The inventors found that the control of traditional refrigeration systems adopts a model-based feedback control method, which is time-consuming and requires complex model identification work, and the application of feedback control requires a trade-off between performance and robust stability. compromise

Method used

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  • Iterative learning refrigeration control system and method based on fractional order
  • Iterative learning refrigeration control system and method based on fractional order
  • Iterative learning refrigeration control system and method based on fractional order

Examples

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Embodiment 1

[0059] figure 1 The principle diagram of the iterative learning refrigeration control system based on fractional order of this embodiment is given.

[0060] In this embodiment, the refrigeration system is a single-stage cycle refrigeration system.

[0061] It should be noted that, in other embodiments, the refrigeration system may also adopt a multi-stage circulation refrigeration system.

[0062] The following is an example of a single-stage cycle refrigeration system:

[0063] Such as figure 2 As shown, the single-stage cycle refrigeration system includes a variable speed compressor, an evaporator, an electronic expansion valve and a condenser;

[0064] a variable speed compressor for receiving refrigerant as a circulating fluid in vapor form and compressing it at constant entropy;

[0065] Condenser, which is used to receive the compressed refrigerant in the form of a vapor, which is first exchanged with the secondary stream and the vapor is then condensed into a liqui...

Embodiment 2

[0114] This embodiment provides a fractional-order based iterative learning refrigeration control method, including:

[0115] According to the refrigeration effect deviation of the refrigeration system in the current operation cycle, the feedback control amount of the current operation cycle is obtained and compensated to the feedforward control amount to realize the fractional-order PID feedback control of the refrigeration system; the feedforward control amount after compensation is input to the refrigeration system Then output the corresponding actual cooling effect, and then judge whether the actual cooling effect reaches the preset cooling effect, if so, end the fractional-order PID control, otherwise, get the feedback control amount of the corresponding operation cycle and compensate it to the feed-forward control amount and continue to input to the refrigeration system; wherein, the refrigeration effect deviation of the refrigeration system includes the temperature devia...

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Abstract

The invention provides an iterative learning refrigeration control system and method based on fractional order. The iterative learning refrigeration control system based on the fractional order comprises a fractional order PID controller which is used for obtaining the feedback control quantity of the current operation period according to the refrigeration effect deviation of the refrigeration system of the current operation period and compensating the feedback control quantity to the feedforward control quantity to achieve fractional order PID feedback control over the refrigeration system; and a fractional order iterative learning controller which is used for estimating the feedforward control quantity of the next operation period according to the fractional order integral superpositionsum of the feedforward control quantity of the current operation period and the refrigeration effect deviation of the refrigeration system under the preset learning gain multiple so as to realize fractional order iterative learning control of the refrigeration system until the preset refrigeration effect is achieved, and the iterative control is ended.

Description

technical field [0001] The invention belongs to the field of refrigeration control, in particular to a fractional-order based iterative learning refrigeration control system and method. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] Refrigeration system is a cooling process to achieve and maintain a product or space lower than the temperature of the surrounding environment. It is used in many aspects such as food preservation, chemical and craft industry, manufacturing process, metal cold treatment, pharmaceutical manufacturing, ice making and so on. With the rapid development of modern technology, vapor compression refrigeration system has become the most commonly used means of commercial and residential space cooling, resulting in a rapid increase in energy consumption, negative impact on energy and economic balance. [0004] In recen...

Claims

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Application Information

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IPC IPC(8): G05B11/42F25B49/02
CPCF25B49/022G05B11/42
Inventor 孙鸿昌周风余赵阳王玉刚尹磊刘美珍贺家凯王达
Owner SHANDONG UNIV
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