Title :
Optimal Fuzzy Design for the Positioning Control of a DC Servomotor Using DSP Chips
Author :
Yu, Gwo-Ruey ; Tao, C.W.
Author_Institution :
Nat. Ilan Univ., Ilan
Abstract :
Fuzzy logic combined with optimal tracking theory is proposed for the positioning control of a dc servomotor with model uncertainties. The novel control strategy is implemented through a digital signal processor. Sugeno-type product inference engine is applied to design the fuzzy inference mechanism first. Then the LQ calculus of variations technology is utilized to find the optimal parameters of fuzzy controller. No matter the position response or the control signal, both computer simulations and experimental results demonstrate that the LQ optimal fuzzy controller is superior to the traditional fuzzy controller.
Keywords :
DC motors; control system synthesis; digital signal processing chips; fuzzy control; fuzzy reasoning; linear quadratic control; machine control; position control; uncertain systems; DC servomotor; DSP chips; LQ calculus; LQ optimal fuzzy controller design; Sugeno-type product inference engine; digital signal processor; fuzzy inference mechanism; fuzzy logic; model uncertainties; optimal tracking theory; positioning control; Calculus; Digital signal processing chips; Digital signal processors; Engines; Fuzzy control; Fuzzy logic; Inference mechanisms; Optimal control; Servomotors; Uncertainty;
Conference_Titel :
Fuzzy Systems, 2006 IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9488-7
DOI :
10.1109/FUZZY.2006.1681779
