Title :
Direct torque control of induction machines based on predictive control
Author :
Liao Wei ; Su Mei
Author_Institution :
Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
Abstract :
To reduce the electromagnetic torque ripple of induction machines under conventional direct torque control, a improved direct torque control based on predictive algorithm is proposed. The control strategy predicts the change of electromagnetic torque and stator flux magnitude for each output voltage vector of inverter in several steps using a discrete-time model of an induction machine. An objective function consisted of predictions of electromagnetic torque, stator flux magnitude and its dynamic errors is proposed as an optimal control rule. The stability of the system was analyzed through the Pole-Zero map of closed-loop transfer function. Based on that, the optimal solution is obtained through minimizing the objective function. A simple algorithm to obtain the optimal solution is proposed for the voltage vector of inverter being finite. The new control strategy possess fast dynamic response and reduce the electromagnetic torque ripple effectively. Simulation study verify the feasibility of the proposed method.
Keywords :
asynchronous machines; closed loop systems; machine control; optimal control; poles and zeros; predictive control; stability; torque control; transfer functions; Pole-Zero map; closed-loop transfer function; direct torque control; discrete-time model; electromagnetic torque ripple; induction machines; optimal control rule; predictive control; stator flux magnitude; Electromagnetics; Induction machines; Inverters; Prediction algorithms; Predictive control; Torque; Torque control; Direct Torque Control; Predictive Control; Torque Ripple;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6