2010Unpublished venueRequires access

Based on PLC temperature PID - fuzzy control system design and simulation

Cao WeiBin, Meng Qingjian

Open publisher page 11 citations

Abstract

Temperature control plays a very important role in industrial control. It is one of four industrial control parameters. Based on PLC (programmable controller) on the basis of the traditional PID control and current popular intelligent control of fuzzy control combination of control plan, to realize the integral design of the control algorithm, and achieve in a large scale, a fuzzy control is used to improve the system of damping performance and reduce overshoot, But in small range, using PID control, in order to improve the response speed of the system, accelerate response process, and give a reference model to achieve simulation of system in MATLAB

About this research paper

What this paper is about

Temperature control plays a very important role in industrial control. It is one of four industrial control parameters. Based on PLC (programmable controller) on the basis of the traditional PID control and current popular intelligent control of fuzzy control combination of control plan, to realize the integral design of the control algorithm, and achieve in a large scale, a fuzzy control is used to improve the system of damping performance and reduce overshoot, But in small range, using PID control, in order to improve the response speed of the system, accelerate response process, and give a reference model to achieve simulation of system in MATLAB

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OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Temperature control plays a very important role in industrial control. It is one of four industrial control parameters. Based on PLC (programmable controller) on the basis of the traditional PID control and current popular intelligent control of fuzzy control combination of control plan, to realize the integral design of the control algorithm, and achieve in a large scale, a fuzzy control is used to improve the system of damping performance and reduce overshoot, But in small range, using PID control, in order to improve the response speed of the system, accelerate response process, and give a reference model to achieve simulation of system in MATLAB

Key concepts: PID controller, Overshoot (microwave communication), Temperature control, Control engineering, Control theory (sociology), Control system, Fuzzy control system, MATLAB

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