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Method and system for self-adjusting fuzzy PID (Proportion Integration Differentiation) parameters in furnace temperature control system

A temperature control system and parameter self-tuning technology, applied in temperature control, general control system, control/regulation system, etc., can solve the problem that PID parameters are difficult to guarantee the system control effect, and achieve the effect of good control quality

Inactive Publication Date: 2015-07-29
CHONGQING TECH & BUSINESS INST
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Problems solved by technology

[0014] The purpose of the present invention is to provide a method and system for self-tuning of fuzzy PID parameters in the furnace temperature control system, aiming to solve the problem that it is difficult to ensure that the control effect of the system is always in an optimal state for the PID parameters set once in the furnace temperature control system

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  • Method and system for self-adjusting fuzzy PID (Proportion Integration Differentiation) parameters in furnace temperature control system
  • Method and system for self-adjusting fuzzy PID (Proportion Integration Differentiation) parameters in furnace temperature control system
  • Method and system for self-adjusting fuzzy PID (Proportion Integration Differentiation) parameters in furnace temperature control system

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[0057] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0058] Because the furnace temperature system control has high real-time requirements, the design adopts the method of parameter online self-tuning based on fuzzy control. Structural Diagram of Conventional Fuzzy Controller [2] Such as figure 2 shown. It is composed of fuzzy interface, database, rule base, inference engine and defuzzification interface, etc.: the fuzzy interface converts the determined input into a fuzzy vector; the database stores all fuzzy.

[0059] The membership degree vector value of the subset provides data to the reasoning machine; the rule base stores intuitive reasonin...

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Abstract

The invention provides a method and a system for self-adjusting fuzzy PID (Proportion Integration Differentiation) parameters in a furnace temperature control system. The method comprises the following steps: selecting and quantifying variables in a PID controller and finding out a fuzzy relation of three PID control parameters including a proportionality coefficient KP, an integral coefficient KI and a differential coefficient KD , and system deviation e and a deviation varying rate ec; establishing a fuzzy relation table; and carrying out online modification on the three parameters by a fuzzy control method. The system corresponds to the method. After PID parameter online fuzzy self-adjustment is carried out, a normal working state is automatically switched, and a PID parameter adjusting process is automatically started when system performances are changed and the readjusted PID parameters so that the system has the better control quality.

Description

technical field [0001] The invention belongs to the technical field of furnace temperature control, in particular to a method and system for self-tuning of fuzzy PID parameters in a furnace temperature control system. Background technique [0002] Furnace temperature control system is a complex system, which has the characteristics of nonlinearity, time-varying parameters, many control variables, and delayed controlled variables. There are many uncertain factors interfering, and it is difficult to establish an accurate mathematical model. For complex systems, it is obviously inappropriate to use PID control. [0003] To improve system performance, it is first necessary to study the influence of PID adjustment parameters on the dynamic and static performance of the system, specifically including the following aspects: [0004] 1) The function of the proportional link is to reduce the deviation. Scale factor K P Increasing it can speed up the response speed, reduce the syst...

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Application Information

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IPC IPC(8): G05D23/00G05B13/04
Inventor 李晓辉刘旭飞沈敏
Owner CHONGQING TECH & BUSINESS INST
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