Fuzzy PID control instrument and control method

A technology of fuzzy control algorithm and control method, applied in electric controllers, controllers with specific characteristics, etc., can solve problems such as unsatisfactory control effect, large control error, affecting automation control efficiency, etc., to improve efficiency and control effect. , the effect of reducing the overshoot problem and shortening the stability period

Active Publication Date: 2016-03-16
SHUNCHANG COUNTY HONGRUN PRECISION INSTR
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The PID control technology of the above scheme only uses the fuzzy algorithm to obtain the correction value of the PID parameters. Although this control method using only the fuzzy algorithm can quickly make the controlled object reach the expected set value and the response speed is fast, its overshoot Large, large control error, low precision; and another existing PID control technology only uses the PID algorithm to obtain the correction value of the PID parameters, although the accuracy is improved,

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  • Fuzzy PID control instrument and control method
  • Fuzzy PID control instrument and control method

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Experimental program
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Embodiment 1

[0073] Please refer to figure 1 , the present embodiment provides a fuzzy PID control method, which may include:

[0074] S1: preset set value SV, and PID parameters including proportional gain P, integral time I and differential time D;

[0075] S2: Real-time collection of industrial signals of controlled equipment on the industrial site through sensors to obtain real-time sampling values;

[0076] S3: Calculate and obtain the actual deviation EPC according to the real-time sampling value and the set value SV, and obtain the deviation range EP according to the preset proportional gain P;

[0077] S4: Judging whether the actual deviation EPC falls outside the deviation range EP; obtaining the judgment result;

[0078] If the judgment result is that the actual deviation EPC is outside the deviation range EP, execute S41;

[0079] If the judgment result that the actual deviation EPC is within the deviation range EP, execute S42;

[0080] S41: first use the fuzzy control algo...

Embodiment 2

[0087] This embodiment is an extension of the solution of Embodiment 1, and the same content will not be repeated. The difference is that it also includes the process of preprocessing the real-time sampling values ​​collected in real time in S2, specifically including:

[0088] S21: Sequentially perform gating, filtering and op-amp processing on the real-time sampling value, and then transmit it to the digital-to-analog conversion module, convert the simulated real-time sampling value into a real-time sampling value digital signal, and then transmit it to the microprocessor MCU11;

[0089] S22: the microprocessor MCU11 samples the real-time sampled value digital signal according to multiple time-sharing samples in a sampling period, obtains the sampled value after the average filtering, and saves the average sampled value in the data memory as an effective real-time sampled value, It is used to calculate the subsequent actual deviation EPC.

[0090] The preset parameter in the...

Embodiment 3

[0093] see figure 2 , providing a fuzzy PID controller, comprising:

[0094] Obtaining module 1, used to obtain real-time sampling values;

[0095] The sampled value processing module 8 is used to sequentially perform gating, filtering and op-amp processing on the real-time sampled value, and then convert it into a real-time sampled value digital signal;

[0096] The time-sharing sampling module is used to sample the real-time sampled value digital signal multiple times in a sampling cycle to obtain an average sampled value, and then use the average sampled value as an effective real-time sampled value to calculate the actual deviation EPC .

[0097] The preset module 6 is used to preset the set value and PID parameters including proportional gain P, integral time I and differential time D;

[0098] The first calculation module 2 is used to calculate and obtain the actual deviation EPC according to the real-time sampling value and the set value;

[0099] The second calcul...

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Abstract

The invention provides a fuzzy PID control instrument and control method. The method comprises the following steps: obtaining a real-time sampling value; according to the real-time sampling value and a set value, calculating to obtain an actual deviation EPC, and according to a preset proportion gain P, calculating to obtain a deviation scope EP; if the actual deviation EPC is beyond the deviation scope EP, correcting a preset PID parameter by use of a fuzzy control algorithm until the actual deviation EPC is within the deviation scope EP; and if the actual deviation EPC is within the deviation scope EP, calculating to obtain a control output value by use of a PID algorithm. According to the invention, fuzzy dynamic control and the PID algorithm are combined together so that the response speed of automation control is improved, and at the same time, it can be ensured that over-regulation and under-regulation conditions do not occur in the rapid rising process of a measured amount; and furthermore, the stable period of an automatic control process is also shortened, the method can be better applied to complex working condition environments with changeable measured amounts, and the efficiency of automatic control and the control effect are substantially improved.

Description

technical field [0001] The invention relates to the field of automatic control, in particular to a fuzzy PID controller combined with a fuzzy algorithm and a PID algorithm and a control method. Background technique [0002] PID controllers are widely used in the field of industrial automation control. They are mainly used to complete fixed-point control of collected physical quantity signals such as temperature, pressure, liquid level, and flow in industrial environments, replacing traditional manual experience value judgments and adjustments to production processes. Inaccurate judgment of artificial experience value, unsatisfactory control effect and other problems. A general PID controller mainly includes: an acquisition module, ADC, MCU, display module, and output control module. The acquisition and analog-to-digital conversion of industrial signals are completed through the acquisition module and ADC, and the PID mathematical operation is completed through the program al...

Claims

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Application Information

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IPC IPC(8): G05B11/42
CPCG05B11/42
Inventor 林善平卞坚斌杨飞任琼叶丽芳
Owner SHUNCHANG COUNTY HONGRUN PRECISION INSTR
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