Research of Temperature Control System Based on Parameter Self-tuning of Fuzzy PID
Kangling Fang
Abstract
Kangling Fang
Abstract
The industry temperature control system has features of nonlinear,time-varying and hysteretic,which seriously affected the speed and accuracy of the temperature control.In order to solve the less adaptable regulation of conventional PID parameter adjustment in the temperature control,a parameter self-tuning control method of fuzzy PID is adopted.The method uses fuzzy control rules to modify the PID parameters and utilizes the Simulink simulation toolbox of Matlab to make a contrast test between the conventional PID and fuzzy PID.Simulation results show that the control effect of parameter self-tuning of fuzzy PID is better than conventional PID in the overshoot and settling time,and the system speed,accuracy and dynamic performance are improved.
OpenAlex reports 2 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.
The industry temperature control system has features of nonlinear,time-varying and hysteretic,which seriously affected the speed and accuracy of the temperature control.In order to solve the less adaptable regulation of conventional PID parameter adjustment in the temperature control,a parameter self-tuning control method of fuzzy PID is adopted.The method uses fuzzy control rules to modify the PID parameters and utilizes the Simulink simulation toolbox of Matlab to make a contrast test between the conventional PID and fuzzy PID.Simulation results show that the control effect of parameter self-tuning of fuzzy PID is better than conventional PID in the overshoot and settling time,and the system speed,accuracy and dynamic performance are improved.
Key concepts: PID controller, Overshoot (microwave communication), Control theory (sociology), Settling time, Temperature control, MATLAB, Fuzzy control system, Fuzzy logic