Title :
A design of auto-tuning PID controller using fuzzy logic
Author :
Hong, Hyeong-Pyo ; Park, Suk-Joon ; Han, Sang-Joon ; Cho, Kyeong-Young ; Lim, Young-Chul ; Park, Jong-Kun ; Kim, Tae-Gon
Author_Institution :
Dept. of Instrum. Syst. Eng., Korea Atomic Energy Res. Inst., Taejon, South Korea
Abstract :
The authors describe an autotuning method for an intelligent PID (proportional-integral-derivative) control system. This method is based on the settling time of the process and is applied to the autotuning PID controller by using fuzzy logic. The autotuning algorithm proposed can tune the PID parameters online using the response characteristics of the PID control system. The performance of the controller was verified by computer simulation. Simulation shows good results. The proposed controller was tuned automatically to the optimal PID parameters under various initial conditions
Keywords :
control system analysis computing; control system synthesis; digital simulation; fuzzy control; fuzzy logic; optimal control; three-term control; PID controller; algorithm; autotuning method; computer simulation; control system synthesis; design; fuzzy control; fuzzy logic; online; optimal control; performance; settling time; three-term control; Automatic control; Computational modeling; Computer simulation; Control systems; Fuzzy logic; Intelligent control; Optimal control; Pi control; Proportional control; Three-term control;
Conference_Titel :
Industrial Electronics, Control, Instrumentation, and Automation, 1992. Power Electronics and Motion Control., Proceedings of the 1992 International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0582-5
DOI :
10.1109/IECON.1992.254452
