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Fuzzy control method and device for chilled water of central air-conditioning and central air-conditioning system

A technology of fuzzy control and central air-conditioning, applied in heating and ventilation control systems, heating and ventilation safety systems, heating methods, etc., can solve problems such as biased judgments

Active Publication Date: 2012-10-17
SHANGHAI CREDY INTELLIGENT TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But it also has some shortcomings:
[0008]In addition, the rule bases in the prior art are almost all fixed rules based on so-called expert experience, but human judgment always has deviations, and the actual system is Different operating conditions do require different rule bases, and traditional fuzzy controllers cannot meet this requirement

Method used

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  • Fuzzy control method and device for chilled water of central air-conditioning and central air-conditioning system
  • Fuzzy control method and device for chilled water of central air-conditioning and central air-conditioning system
  • Fuzzy control method and device for chilled water of central air-conditioning and central air-conditioning system

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Experimental program
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Effect test

no. 2 example

[0166] Considering that the control system may be used for the first time, the fuzzy rule base and probability set may not be stored before, so before step 101, steps 100, 1001, 1002 are added. Specifically:

[0167] Step 100, judging whether the fuzzy control system is used for the first time? If yes, execute step 1001; if not, execute step 1002.

[0168] Step 1001, initialize a rule base and a probability set according to a predetermined method as an initial rule base and an initial probability set.

[0169] In this step, the predetermined method for initializing the rule base is:

[0170] Let an N x1 ×N x2 The (i, j)th element of the matrix R i，j is shown in the following formula:

[0171] R i , j = round ( N y × ( i N ...

no. 3 example

[0193] Step 100, judging whether the fuzzy control system is used for the first time? If yes, go to step 1001; if not, go to step 1002.

[0194] Step 1001: Initialize a rule base and a probability set according to a predetermined method as an initial rule base and an initial probability set.

[0195] Step 1002, calling out the rule base and probability set stored at the end of the last run from the database as the initial rule base and initial probability set.

[0196] Step 101. Calculate the initial cooling efficiency COP according to the control signal output from the initial fuzzy rule base and the initial probability set last .

[0197] Step 103: Randomly select a certain rule in the above-mentioned initial rule base, generate a modification direction corresponding to the probability of the rule, and modify the rule base.

[0198] Step 105, run according to the modified new rule base for a period of time t, and calculate the current cooling efficiency COP now .

[019...

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Abstract

The invention provides a fuzzy control method, a fuzzy control device for chilled water of a central air-conditioning and a central air-conditioning system. The method comprises the steps of acquisition of the temperature at the side of the chilled water and temperature difference change rate data, fuzzing treatment, fuzzy reasoning, defuzzication, output of a chilled water pump frequency control signal and dynamic correction of a fuzzy rule base. Particularly, the method comprises the following steps of: according to an initial fuzzy rule base and an initial probability set, calculating an initial refrigerating efficiency; randomly selecting a certain rule in the initial rule base to generate a correction direction of a corresponding probability and correcting the rule base; operating for a certain time according to the new rule base and calculating a current refrigerating efficiency; comparing the current refrigerating efficiency with the initial refrigerating efficiency to judge whether the current refrigerating efficiency meets a certain conditions relative to the initial refrigerating efficiency; if no, correcting the probability according to a preset correction strategy, obtaining the new rule and returning to the step of calculating the current refrigerating efficiency; and if yes, storing the expected rule base and the expected probability set. A rule change mechanism is added on the basis of the fuzzy control method, so that the fuzzy control can be more rapidly converged and a better energy-saving effect is achieved.

Description

technical field [0001] The invention relates to the technical field of central air-conditioning intelligent control and energy saving, in particular, to a fuzzy control method for central air-conditioning chilled water, a fuzzy control device and a central air-conditioning system. Background technique [0002] At present, the investment of equipment in the central air-conditioning system and the design of the power grid are all designed according to the maximum load. Therefore, the central air-conditioning is under partial load most of the time. In actual operation, when the central air-conditioning load decreases, it does not decrease much. The energy consumed is obviously unreasonable. With the advancement of technology, the miniaturization and practicalization of frequency converters have been promoted. In order to reduce the energy waste of the central air-conditioning system, people began to use frequency converters to control the water pumps and fans of the air-conditi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F24F11/00
Inventor 吴斌张纪文马志龙张宇魁
Owner SHANGHAI CREDY INTELLIGENT TECH
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