Simple Model and PI Controller to Improve the Performance Characteristics of PMSM under Field Oriented Control with Using SVPWM
Hamdy Mohamed Soliman1, S. M. EL-Hakim2
1Eng. Hamdy Mohamed Soliman, Cairo Metro Greater, Egypt.
2Prof. Dr. S. M. EL-Hakim, Department of Electrical Power Engineering and Machines, Cairo University/ Faculty of Engineering/ Giza, Egypt.
Manuscript received on March 11, 2015. | Revised Manuscript Received on March 12, 2015. | Manuscript published on March 18, 2015. | PP: 05-13 | Volume-2 Issue-4, March 2015.
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Voltage source inverter is widely used in many industrial applications such as robot, electric vehicle and machine tool. The performance of the drive system depends upon the method of control for converter and motor control method. From the most performance method is a space vector pulse width modulation technique. Here the field oriented control of permanent magnet synchronous motor with using space vector modulation is used to controlling the inverter and improving the performance characteristics of the motor such as speed, currents and the electric torque by reducing their ripples. This occurs through adding PI controller for flux and simple model to track the torque and speed when varying load is applied. In the PI controller, the d-axis flux is compared to rotor permanent magnet flux to solve the problem arises from non-sinusoidal of the magnetic flux. The output of the PI controller is added to the reference d-axis current. The new d-axis current will reach the best value of THD. The simple model is used to generate new q axis torque current controller comes from lookup table and adding to reference q axis current controller to control the motor speed. The effect of improvement can be seen through the torque ripples, THD and motor speed. This work is simulated by matlab simulink.
Keywords: Matlab simulink, PI, PMSM and SVM.