Title :
Nonlinear adaptive control of induction motor with unknown rotor resistance
Author :
Lee, Hou-Tsan ; Fu, Li-Chen ; Wu, Dong-Shiuh ; Wang, LeeJyi
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Abstract :
The paper proposes an adaptive speed/position tracking control of an induction motor subject to unknown load torque. The controller is developed based on a dynamic model obtained from the d-q-axis model (w.r.t. the stationary reference frame) of the motor under a special nonlinear coordinate transform so that either the speed or position control objective can be fulfilled. The underlying design concept is to endow the closed-loop system with a so-called maximal power transfer property while under lack of knowledge of some key system parameters, such as the rotor resistance, motor inertia and motor damping coefficient. To be rigorous, the proposed control scheme comes with a thorough proof derived based on Lyapunov stability theory. Numerical simulations and experimental results are also given to validate the effectiveness of the presented control scheme.
Keywords :
Lyapunov methods; adaptive control; closed loop systems; control system synthesis; induction motors; machine control; nonlinear control systems; observers; position control; torque control; velocity control; Lyapunov stability theory; closed-loop system; d-q-axis model; dynamic model; induction motor; maximal power transfer property; nonlinear adaptive control; nonlinear coordinate transform; position tracking control; speed tracking control; underlying design concepts; unknown rotor resistance; Adaptive control; Damping; Induction motors; Lyapunov method; Nonlinear dynamical systems; Position control; Power system modeling; Programmable control; Rotors; Torque control;
Conference_Titel :
Decision and Control, 2002, Proceedings of the 41st IEEE Conference on
Print_ISBN :
0-7803-7516-5
DOI :
10.1109/CDC.2002.1184542