Abstract—In this paper, extended Kalman filter (EKF) is used for online optimization of input and output membership functions (MFs) of Mamdani fuzzy PID controller. The proposed controller is employed for controlling the separately excited DC motor. The simulation results show that the fuzzy PID controller with online optimization has better efficiency than classic PID controller and fuzzy PID controller with fixed membership functions.
Index Terms—DC motor, Extended kalman filter, fuzzy PID.
The authors are with the Electrical Engineering Department, University of Guilan, Rasht, Iran (e-mail: firstname.lastname@example.org, email@example.com@guilan.ac.ir, firstname.lastname@example.org).
Cite: Meysam Shadkam, Hamed Mojallali, Member, IACSIT, and Yaser Bostani, "Speed Control of DC Motor Using Extended Kalman Filter Based Fuzzy PID, "International Journal of Information and Electronics Engineering vol. 3, no. 1, pp. 109-112, 2013.