E3S Web Conf.
Volume 87, 20191st International Conference on Sustainable Energy and Future Electric Transportation (SeFet 2019)
|Number of page(s)||5|
|Published online||22 February 2019|
Artificial Neural Networks based SPWM technique for speed control of Permanent Magnet Synchronous Motor
1 Professor, EEE Department, GRIET, Hyderabad, India
2 Research Scholar, EEE Department, TKR Engineering College, Hyderabad
* Corresponding author: firstname.lastname@example.org
The advancement of industry apparatuses for some methods with specific tasks to control the working of a few actuators on the field. Among these actuators, Permanent magnet synchronous motor drives are a mainly all-inclusive machine. Proficient utilization of hesitance torque, generally effectiveness, minor misfortunes and smaller size of the motor are the principle attractions of PMSM when contrasted and different drivers. Precise and rapid torque reaction is one of the parameters to determine differentiating arrangements in the ongoing past. The field-situated power perceived the likely and vigorous answer to accomplish these prerequisites to empower the figuring of streams and voltages in different parts of the inverter and motor under transient and consistent conditions. The primary objective of this paper is to investigate Artificial Neural Network based control of speed for PMSM in both open and closed loop under no-load and loaded condition. A shut circle control framework with ANN procedure in the speed circle intended to work in steady torque and transition debilitating districts. MATLAB reproduction performed in the wake of preparing the neural system (directed learning), results for reference control applications are adequate and appropriate in the process business. Speed control in shut circle at different stacking conditions talked about in detail.
© The Authors, published by EDP Sciences, 2019
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