Sutikno, T. and Nik Idris, Nik Rumzi and Jidin, A. Z. and Daud, Mohd. Zaki (2011) FPGA based high precision torque and flux estimator of direct torque control drives. In: 2011 IEEE Applied Power Electronics Colloquium, IAPEC 2011. IEEE Explorer, USA, pp. 122-127. ISBN 978-145770008-8
Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/IAPEC.2011.5779871
Abstract
This paper presents an improved FPGA-based torque and stator flux estimators for direct torque control (DTC) induction motor drives, which permit very fast calculations. The improvements are performed by 1) using two"s complement fixed-point format approach to minimize calculation errors and the hardware resources usage in all operations, 2) calculating the discrete integration operation of stator flux using backward Euler approach, 3) modifying the non-restoring method to calculate complicated square root operation of stator flux, 4) introducing a new sector judgment method, and 5) reducing the sampling frequency down to 5µs. To avoid saturation due to DC offset present in the sensed currents, the LP Filter is applied. The simulation results of DTC model in MATLAB/Simulink, which performed double-precision calculations, are used as references to digital computations executed in FPGA implementation. The Hardware-in-the-loop (HIL) method is used to verify the minimal error between MATLAB/Simulink simulation and the experimental results, and thus the well functionality of the implemented estimators.
Item Type: | Book Section |
---|---|
Uncontrolled Keywords: | backward euler, calculation error, DC offsets, digital computation, direct torque control, flux estimator, FPGA implementations, hardware resources, hardware-in-the-loop, high precision, induction motor drive, judgment method, MATLAB /simulink, matlab/simulink simulation, minimal errors, sampling frequencies, simulation result, square-root operations, stator flux |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Electrical Engineering |
ID Code: | 29713 |
Deposited By: | Liza Porijo |
Deposited On: | 22 Mar 2013 08:30 |
Last Modified: | 05 Feb 2017 00:05 |
Repository Staff Only: item control page