A State Feedback Controller for PMSMs Based on Penalty Term Augmented Seeker Optimization Algorithm

Publication Type:
Conference Proceeding
Citation:
2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019, 2019
Issue Date:
2019-08-01
Filename Description Size
08922441.pdfPublished version1.54 MB
Adobe PDF
Full metadata record
© 2019 IEEE. This paper presents the design of a state feedback controller (SFC) for permanent-magnet synchronous motor (PMSM) drive. First, two integrals, the integral of rotor speed error and d-axis current error are added into the discretized state space model of PMSM to eliminate steady-state error in speed and id. Then, the seeker optimization algorithm (SOA) is employed to get the parameters of the proposed SFC. Also, in order to avoid overshoots in speed tracking, a penalty term is added to the fitness function. Finally, the SOA based SFC with and without the penalty term are compared in experiments.
Please use this identifier to cite or link to this item: