Abstract
This paper's goal is to use a proportional integral derivative controller and an artificial neural network controller (ANNC) to control the speed of a BLDC motor. The outcomes of the MATLAB/SIMULINK simulation are used as the basis for comparing the two controllers. On the other hand, the ANNC makes the BLDC motor's reaction more consistent and dependable. In other words, it reduces peak time, overshoot, and settle time while speeding up system responses. ANNC is implemented in Processor in the Loop (PIL) experimenting with Arduino Mega. It is based on the generated C-code and executed it in the embedded card. The experiment's outcomes match those of the MATLAB/SIMULINK simulation.
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.
