Title :
Servocontroller tuning with fuzzy logic
Author :
Tseng, H. Chris ; Hwang, Victor H.
Author_Institution :
Dept. of Electr. Eng., Santa Clara Univ., CA, USA
fDate :
12/1/1993 12:00:00 AM
Abstract :
A fuzzy-logic-based self-tuning proportional-integral (PI) controller is designed that achieves robust tracking in unknown plants which may be open-loop unstable. Tuning of the conventional servocontroller parameters is accomplished through fuzzy approximate reasoning techniques. A Lyapunov function is used as a performance index in formulating the fuzzy rules. The proposed controller parameter tuning scheme greatly reduces the dimension of the fuzzy rule set. Computer simulations on an unstable nonlinear plant illustrate the validity of the approach
Keywords :
Lyapunov methods; adaptive control; control system synthesis; fuzzy control; performance index; self-adjusting systems; servomechanisms; two-term control; Lyapunov function; PI controller; fuzzy approximate reasoning; fuzzy logic; fuzzy rules; open-loop unstable plants; performance index; robust tracking; self-tuning proportional-integral controller; servocontroller tuning; unstable nonlinear plant; Fuzzy control; Fuzzy logic; Fuzzy reasoning; Lyapunov method; Open loop systems; Performance analysis; Pi control; Proportional control; Robust control; Tuning;
Journal_Title :
Control Systems Technology, IEEE Transactions on
