Application of Self-adaptive Fuzzy PID in Temperature Control System
Cao Jian-hua
Abstract
Cao Jian-hua
Abstract
As temperature system has the characteristics of non-linearity,large inertia and time variability,normal PID and normal fuzzy control can not meet the requirement of precise molding system.A self-adaptive fuzzy control in large area and PID precision output in small area,which adjusts PID parameters based on deviation and the deviation change.The structure and principle of self-adaptive fuzzy PID controller are analysed,and Matlab/ Simulink and fuzzy logic toolbox are simulated,the results of simulation show that the self-adaptive fuzzy controller posses the flexible and adaptability advantages of fuzzy control and the precise character of PID control.It improves the control effect on temperature system.
OpenAlex reports 1 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.
As temperature system has the characteristics of non-linearity,large inertia and time variability,normal PID and normal fuzzy control can not meet the requirement of precise molding system.A self-adaptive fuzzy control in large area and PID precision output in small area,which adjusts PID parameters based on deviation and the deviation change.The structure and principle of self-adaptive fuzzy PID controller are analysed,and Matlab/ Simulink and fuzzy logic toolbox are simulated,the results of simulation show that the self-adaptive fuzzy controller posses the flexible and adaptability advantages of fuzzy control and the precise character of PID control.It improves the control effect on temperature system.
Key concepts: PID controller, Control theory (sociology), Adaptability, Fuzzy logic, Fuzzy control system, MATLAB, Temperature control, Control engineering