Title :
Adaptive backstepping control of induction motor with uncertainties
Author :
Tan, Hualin ; Chang, Jie
Author_Institution :
Sci. Center, Rockwell Int. Corp., Thousand Oaks, CA, USA
Abstract :
Adaptive backstepping control design is applied to a nonlinear induction motor system model with both electrical and mechanical dynamics. To emphasize the motion control applications, the effective inertia and load torque are considered as unknown parameters. With full state measurement, both rotor speed and rotor flux amplitude tracking objectives are satisfied, which improves power efficiency without affecting the speed regulation. The proposed approach has a straightforward design and stability analysis procedure, while avoiding overparameterization and keeping the control law structure simple
Keywords :
adaptive control; control system analysis; control system synthesis; dynamics; induction motors; machine vector control; motion control; nonlinear control systems; stability; uncertain systems; velocity control; adaptive backstepping control; effective inertia; electrical dynamics; full state measurement; load torque; mechanical dynamics; nonlinear induction motor system model; power efficiency; speed regulation; stability analysis; Adaptive control; Backstepping; Control design; Induction motors; Motion control; Nonlinear dynamical systems; Power system modeling; Programmable control; Rotors; Uncertainty;
Conference_Titel :
American Control Conference, 1999. Proceedings of the 1999
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4990-3
DOI :
10.1109/ACC.1999.782729