Abstract
A genetic based self-tuning speed controller is proposed for the high-performance drives of induction motors. Nonlinear system identification of a motor drive system is required and the results of system identification could provide the controller with information regarding the load variation, system noise, and parameter variation of the induction. The proposed self-tuning controller can change the gains of the controller according to system conditions. For the estimation of system parameters, a genetic algorithm is used. A self-tuning controller is designed that is adequate for the speed control of the induction motor. The availability of the proposed controller is verified.
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.
