Title :
Speed control design of a 2-mass drive system by using integrated fuzzy observer and linear quadratic control
Author :
Pai, Neng-Sheng ; Li, Tzuu-Hseng S.
Author_Institution :
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
fDate :
6/24/1905 12:00:00 AM
Abstract :
This paper presents a control scheme for the speed controller in a 2-mass motor drive system. The speed controller is based on state feedback compensation. The state observer obtains unmeasured states for this system. It is not only accuracte but also fast by utilizing the integrated fuzzy observer. The optimal controller configuration is composed by a load compensator and a linear quadratic (LQ) regulator including an integrator. The load disturbance is directly compensated by the estimated load. Simulation results show that the proposed integrated fuzzy observer provide the better estimation performance than that of the Kalman filter and the proposed control scheme can effectively track the desired speed in the presence of load disturbance
Keywords :
Kalman filters; compensation; control system synthesis; filtering theory; fuzzy control; industrial control; linear quadratic control; observers; rolling mills; state feedback; velocity control; 2-mass drive system; Kalman filter; LQ control; LQ regulator; compensation; estimated load; estimation performance; integrated fuzzy observer; linear quadratic control; linear quadratic regulator; load compensator; load disturbance; optimal controller configuration; rolling mill drive system; speed control design; state feedback compensation; state observer; Control systems; Fuzzy control; Fuzzy systems; Milling machines; Observers; State estimation; State feedback; Torque; Velocity control; Vibration control;
Conference_Titel :
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7280-8
DOI :
10.1109/FUZZ.2002.1004960