Title :
Maximum Efficiency per Torque Direct Flux Vector Control of Induction Motor Drives
Author :
Odhano, Shafiq Ahmed ; Bojoi, Radu ; Boglietti, Aldo ; Rosu, Stefan George ; Griva, Giovanni
Author_Institution :
Politec. di Torino, Turin, Italy
Abstract :
In this paper, a loss-minimizing strategy is proposed for induction motor drives to ensure maximum efficiency operation for a given torque demand. The proposed strategy directly regulates the machine stator flux, according to the desired torque, using an optimal stator flux reference. Therefore, the proposed strategy is suitable for motor control schemes that are based on direct flux regulation, such as direct torque control or direct flux vector control. The maximum efficiency per torque (MEPT) stator flux map is computed offline using the traditional no-load and short-circuit test data. An iron loss model based on the stator flux and frequency is also proposed for the calibration of the machine loss model and also for online monitoring of the iron losses during motor operation. The proposed MEPT strategy has been validated on a 2.2-kW induction machine, and the motor efficiency has been measured for different speed values and variable load conditions. The experimental results confirm the effectiveness of the proposed solution.
Keywords :
induction motor drives; losses; machine vector control; torque control; MEPT; direct flux regulation; induction motor drives; iron loss model; loss-minimizing strategy; machine loss model; machine stator flux regulation; maximum efficiency operation; maximum efficiency per torque stator flux map; motor control schemes; optimal stator flux reference; torque demand; torque direct flux vector control; Induction motors; Iron; Magnetic flux; Rotors; Stator cores; Torque; Electrical machines; energy efficiency; induction motors; loss measurement; magnetic losses; mathematical model; testing; torque control; traction motors; variable speed drives;
Journal_Title :
Industry Applications, IEEE Transactions on
DOI :
10.1109/TIA.2015.2448682