Title :
Control of induction motors based on adaptive decoupling linearization
Author :
Guohai, Liu ; Zhaochun, Huang ; Zhiling, Liao ; Hao, Zhang ; Jianbin, Wu
Author_Institution :
Jiangsu Univ. of Sci. & Technol., China
Abstract :
General formulation of decoupling problem is presented and applied to the speed regulation of the induction motor under the assumption that disturbing inputs are equal to zero. The two subsystems: rotor speed and rotor flux, are treated as the reference model of adaptive control for the next section. An adaptive law is presented to counteract the harmful effects of disturbances, which cause the loss of decoupling and linearizing. It Is proved in the paper that the errors between outputs of reference model and control object are exponentially convergent to zero, and the system is stable. By choosing parameters, the algorithm reduces the complexity of calculation at the same time. This makes it more suitable for the speed control system performed by the high-speed DSPs. Simulations show that flux and speed are still decoupled during the transient of the system. The proposed control is suitable for high-dynamic performance applications
Keywords :
control system analysis; control system synthesis; induction motors; machine control; machine theory; model reference adaptive control systems; rotors; velocity control; adaptive decoupling linearization; calculation complexity; control design; control simulation; disturbing inputs; high-dynamic performance applications; induction motor control; model reference adaptive control; parameters selection; rotor flux; rotor speed; speed regulation; Adaptive control; Couplings; Error correction; Induction motors; Programmable control; Rotors; Sensorless control; Stators; Torque; Voltage;
Conference_Titel :
Electrical Machines and Systems, 2001. ICEMS 2001. Proceedings of the Fifth International Conference on
Conference_Location :
Shenyang
Print_ISBN :
7-5062-5115-9
DOI :
10.1109/ICEMS.2001.971922