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Open-Loop Vector Control of Induction Motor with Space Vector Pulse Width Modulation Technique
This paper presents open-loop vector control method of induction motor with space vector pulse width modulation (SVPWM) technique. Normally, the closed loop speed control is preferred and is believed to be more accurate. However, it requires a position sensor to track the rotor position which is not desirable to use it for certain workspace applications. This paper exhibits the performance of three-phase induction motor with the simplest control algorithm without the use of a position sensor nor an estimation block to estimate rotor position for sensorless control. The motor stator currents are measured and are transformed to synchronously rotating (d-q-axis) frame by use of Clarke and Park transformation. The actual control happens in this frame where the measured currents are compared with the reference currents. The error signal is fed to a conventional PI controller, and the corrected d-q voltage is generated. The controller outputs are transformed back to three phase voltages and are fed to SVPWM block which generates PWM signal for the voltage source inverter. The open loop vector control model along with SVPWM algorithm is modeled in MATLAB/Simulink software and is experimented and validated in TMS320F28335 DSP board.
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[1] V. S. S. P. K. Hari, A. Tripathi, and G. J. S. Narayanan, "Experimental determination of mechanical parameters in sensorless vector-controlled induction motor drive," in National Power Electronics Conference (NPEC); 2015, IIT Bombey, vol. 42, pp. 1285-1297, August 01 2017.
[2] J. Gutierrez-Villalobos, J. Rodriguez-Resendiz, E. Rivas-Araiza, and M. Martínez-Hernández, "Sensorless FOC Performance Improved with On-Line Speed and Rotor Resistance Estimator Based on an Artificial Neural Network for an Induction Motor Drive," Indian Academy of Sciences, vol. 15, p. 15311, 2015.
[3] E. S. Abdin, G. A. Ghoneem, H. M. M. Diab, and S. A. Deraz, "Efficiency optimization of a vector controlled induction motor drive using an artificial neural network," in IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468), 2003, pp. 2543-2548 Vol.3.
[4] R. Hedjar, P. Boucher, and D. Dumur, "Robust nonlinear receding-horizon control of induction motors," International Journal of Electrical Power & Energy Systems, vol. 46, pp. 353-365, 2013/03/01/ 2013.
[5] B. Kimiaghalam, M. Rahmani, and H. Halleh, "Speed & torque vector control of induction motors with Fuzzy Logic Controller," in 2008 International Conference on Control, Automation and Systems, 2008, pp. 360-365.
[6] T. H. dos Santos, A. Goedtel, S. A. O. da Silva, and M. Suetake, "Scalar control of an induction motor using a neural sensorless technique," Electric Power Systems Research, vol. 108, pp. 322-330, 2014/03/01/ 2014.
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[8] N. Jirasuwankul, "Simulation of Energy Efficiency Improvement in Induction Motor Drive by Fuzzy Logic Based Temperature Compensation," Energy Procedia, vol. 107, pp. 291-296, 2017/02/01/ 2017.
[9] I. Sakunwanthanasak and S. Boonsang, "Indirect vector control of induction motors using a PI-fuzzy controller with the simplified implementation without current sensors," in 2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE), 2015, pp. 364-369.
[10] M. A. Hannan, J. A. Ali, P. J. Ker, A. Mohamed, M. S. H. Lipu, and A. Hussain, "Switching Techniques and Intelligent Controllers for Induction Motor Drive: Issues and Recommendations," IEEE Access, vol. 6, pp. 47489-47510, 2018.
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[16] P. H. Doraya H, Sharma M C and Kumar B, "Space Vector Pulse Width Modulation: A Technique to Mitigate the Total Harmonic Distortion," International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, vol. 7, 2018.
[17] M. H. V. Reddy and V. Jegathesan, "Open loop V/f control of induction motor based on hybrid PWM with reduced torque ripple," in 2011 International Conference on Emerging Trends in Electrical and Computer Technology, 2011, pp. 331-336.
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