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Method adopting fuzzy control to adjust genetic algorithm so as to optimize parameters and application of method

A technology of fuzzy control and genetic algorithm, applied in control/regulation system, temperature control, adaptive control, etc., can solve the problem of unsatisfactory control effect of thermal parameters

Inactive Publication Date: 2015-08-12
CHONGQING TECH & BUSINESS INST
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The purpose of the present invention is to provide a method of fuzzy control to adjust genetic algorithm optimization parameters and its application, aiming to solve the problem that the actual control effect of traditional fuzzy controllers on various kiln thermal parameters is not ideal

Method used

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  • Method adopting fuzzy control to adjust genetic algorithm so as to optimize parameters and application of method
  • Method adopting fuzzy control to adjust genetic algorithm so as to optimize parameters and application of method
  • Method adopting fuzzy control to adjust genetic algorithm so as to optimize parameters and application of method

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Experimental program
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Effect test

Embodiment 1

[0036] Example 1 Adjustment of input membership function in fuzzy control

[0037] The membership function curves of fuzzy variables can take various shapes, such as bell, trapezoid, triangle, and rod. Since the normal distribution curve is closer to people's thinking, the conventional fuzzy controller generally uses the isosceles triangle membership degree curve close to the normal distribution curve as the membership function of the input variable, such as figure 1 Equally spaced quantization is performed as shown. In fact, the system is complex and ever-changing. If such symmetrical and evenly distributed regular isosceles triangles are selected, it is difficult to meet the requirements of dynamic response and steady-state accuracy. For this reason, the present invention adopts genetic algorithm to automatically adjust the triangle apex position (the position of the bottom edge remains unchanged), thereby improving control accuracy, etc. Still use plus or minus 6 levels o...

Embodiment 2

[0064] Embodiment 2 Amendment of parameters in fuzzy control analytical formula

[0065] For a given system, the output response curve is divided into four zones vertically according to the positive and negative signs of E and C, and horizontally segmented according to the absolute value of the deviation E. When the "sections" are different, the control rules are also different. Control analysis The α in the formula U=- will also be changed accordingly, for this reason the intelligent adjustment factors p, q (that is α Automatically changing upper and lower limits) to adjust, then the fuzzy control analytical formula becomes:

[0066] U ijx = - [ | E i | 3 ( p x - q x ...

Embodiment 3

[0079] Embodiment 3 output rod-shaped spacing adjustment

[0080] After the adjustment of the membership function and control rules, the adjustment of the rod-shaped position of the output U is also very important, because it directly adjusts the controlled object, if it is not accurate, it will affect the control effect, and the genetic algorithm can be used to ensure the zero position of the origin When the rod position does not move, for the output rod spacing σ i and -σ i Adjust and optimize, the output membership function curve is as follows figure 2 shown.

[0081] (1) Coding

[0082] The coding of the output rod spacing is the same as the coding of the input membership function, only 3-bit binary code is enough, but because the valve opening is limited, the leftmost displacement and the rightmost displacement must be removed to avoid overflow. Four schemes can be randomly selected as chromosomes for genetic optimization, and their codes are shown in Table 3:

[00...

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Abstract

The invention provides a method adopting fuzzy control to adjust a genetic algorithm so as to optimize parameters and application of the method. According to the method of the invention, a genetic algorithm (GA) for global optimization is selected to perform automatic optimization solving on adjustment of a subordinating degree function, parameter correction of a fuzzy control rule analytic expression and position change adjustment of an output clavate subordinating degree function. The method includes the steps that the genetic algorithm is utilized to perform self-correction and self-adjustment on a fuzzy subordinating degree function curve, parameters p and q in the fuzzy control analytic expression U=f (E,C,p,q) and the position of the output clavate subordinating degree function, and therefore, fuzzy control satisfying requirements of experiences can be realized, and control accuracy and stability can be greatly improved, and designed control quality can be realized, and better control quality of a furnace temperature control system can be realized, and the system can be constantly in an optimized state in an operating process assuredly.

Description

technical field [0001] The invention belongs to the technical field of kiln temperature control, and in particular relates to a method for fuzzy control to adjust genetic algorithm optimization parameters and its application. Background technique [0002] The furnace temperature control system is a complex system, which has the characteristics of nonlinearity, time-varying parameters, many control variables, and delayed controlled variables, and there are many uncertain factors. The traditional fuzzy controller is difficult to ensure that the control effect of the system is always in an ideal state in the actual complex control system of various kiln thermal parameters. Contents of the invention [0003] The purpose of the present invention is to provide a fuzzy control method for adjusting genetic algorithm optimization parameters and its application, aiming to solve the problem that the actual control effect of traditional fuzzy controllers on various kiln thermal parame...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05D23/00G05B13/04
Inventor 刘旭飞李晓辉陈理君
Owner CHONGQING TECH & BUSINESS INST
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