Based on PLC temperature PID - fuzzy control system design and simulation
Cao WeiBin, Meng Qingjian
Abstract
Cao WeiBin, Meng Qingjian
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
OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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