Tuning of extended Kalman filter using grey wolf optimisation for speed control of permanent magnet synchronous motor drive
by Ramana Pilla; Tulasichandra Sekhar Gorripotu; Ahmad Taher Azar
International Journal of Automation and Control (IJAAC), Vol. 15, No. 4/5, 2021

Abstract: This paper deals with tuning of extended Kalman filter (EKF) using grey wolf optimisation (GWO) for sensor less speed control of permanent magnet synchronous motor (PMSM) drive. A real-coded GWO is used to optimise the noise covariance matrices of EKF in an off-line manner. The optimised values of these matrices are injected into the filter, thereby ensuring filter stability and accuracy in the estimation of rotor speed, position and machine states. The estimated speed from EKF is fed back to the speed controller and controller gains Kp and Ki are again tuned using GWO algorithm. The state and measurement covariance matrices improve the convergence of estimation process and quality of the estimated states. The simulation results show the superior performance of the proposed method when compared to particle swarm optimisation (PSO) method.

Online publication date: Fri, 23-Jul-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Automation and Control (IJAAC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com