2012
DOI: 10.4028/www.scientific.net/amr.472-475.3063
|View full text |Cite
|
Sign up to set email alerts
|

Research on Self-Tuning Fuzzy PID Control Strategy of Metallurgy Furnace Temperature

Abstract: Aim at the effect of the control method in traditional metallurgy furnace temperature is not good, a self-tuning fuzzy PID control method combining fuzzy control with PID control was proposed in this paper based on the analysis of the advantages and disadvantages of the PID control and fuzzy control method, and a concrete control algorithm was put forward and simulation experiment was finished. The simulation results show that the effect of the controller is good, and the control of system is fast and smoothly… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2021
2021
2022
2022

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 2 publications
0
2
0
Order By: Relevance
“…In the application process of fuzzy algorithm, the fuzzy interface is used to realize the transformation from input parameters to fuzzy universe, and the proportion relationship between input parameters and universe is established through quantitative factors, and the output accurate parameter value is transformed into fuzzy language value; the knowledge base can be divided into a fuzzy database and a fuzzy rule base according to different internal functions: the database contains the membership functions of all fuzzy subsets of the input and output parameters that have been set in advance. The rule base expresses expert knowledge as language rules in the form of if-then, and establishes the mapping relationship between different quantization levels of input and output parameters for subsequent fuzzy reasoning; the inference engine performs fuzzy inference on the input parameters through the established knowledge base to obtain the fuzzy output; the defuzzification interface completes the conversion of the fuzzy parameters to the precise output through the de-fuzzification operations such as the center of gravity method [18].…”
Section: Figure 12 Schematic Diagram Of Application Process Of Fuzzy ...mentioning
confidence: 99%
See 1 more Smart Citation
“…In the application process of fuzzy algorithm, the fuzzy interface is used to realize the transformation from input parameters to fuzzy universe, and the proportion relationship between input parameters and universe is established through quantitative factors, and the output accurate parameter value is transformed into fuzzy language value; the knowledge base can be divided into a fuzzy database and a fuzzy rule base according to different internal functions: the database contains the membership functions of all fuzzy subsets of the input and output parameters that have been set in advance. The rule base expresses expert knowledge as language rules in the form of if-then, and establishes the mapping relationship between different quantization levels of input and output parameters for subsequent fuzzy reasoning; the inference engine performs fuzzy inference on the input parameters through the established knowledge base to obtain the fuzzy output; the defuzzification interface completes the conversion of the fuzzy parameters to the precise output through the de-fuzzification operations such as the center of gravity method [18].…”
Section: Figure 12 Schematic Diagram Of Application Process Of Fuzzy ...mentioning
confidence: 99%
“…Combined with actual drive motor parameters, sensor parameters and mechanical structure parameters, appropriate selection of some parameters can convert the second-order correction transfer model with delay link into the mathematical model shown in (18), which is convenient for subsequent algorithm model construction and simulation analysis.…”
Section: The Construction Of the Integral Separation Fuzzy Pid Simula...mentioning
confidence: 99%