Title :
Cascaded model predictive position control of induction motor with constraints
Author :
Lu Gan ; Liuping Wang
Author_Institution :
Sch. of Electr. & Comput. Eng., R. Melbourne Inst. of Technol., Melbourne, VIC, Australia
Abstract :
In this paper, position control of induction motor is addressed by using a continuous-time Model Predictive Control (MPC) algorithm. The control system is designed based on the indirect vector control technique and the cascaded control structure with two MPC controllers is proposed. The operational constraints are imposed on the currents, which provides safety protection for the control system. The exponential data weighing technique used in MPC design is deployed for obtaining a fast inner-loop dynamic response and a slow outer loop response. The proposed predictive position control has been evaluated on an induction motor test bed, coupled with an DC servo motor as a load.
Keywords :
cascade control; continuous time systems; control system synthesis; dynamic response; induction motor protection; machine vector control; position control; predictive control; servomotors; DC servo motor; cascaded control structure; cascaded model predictive position control; continuous time MPC algorithm; control system design; exponential data weighing technique; indirect vector control technique; induction motor; inner loop dynamic response; load; operational constraints; outer loop response; safety protection; Computational modeling; Equations; Induction motors; Mathematical model; Position control; Rotors; Steady-state;
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
DOI :
10.1109/IECON.2013.6699550