Abstract
In this paper sensorless controlled PMSM drive is presented with neural network designed for speed and position estimation of the motor. Multi-level inverter (MLI) is operated using a modified space vector modulation (SVPWM) strategy for generation of 5-level and 7-level voltages. The sensorless control estimates the value of speed and position from calculations based on measured current and voltage. The issue with sensorless control strategy in state estimation arises with motor parameter variation and with distortions in current and voltage. The use of neural network observer deals with the issue of motor parameter variation. The use of MLI improves estimation with reduction in distortion in current further improved with the use of proposed SVPWM. The proposed scheme uses lesser switching states thus reducing the power loss compared to conventional scheme. Simulation is carried out in MATLAB on PMSM drive in order to test the physical performance of the drive.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
