EKF-Based PI-/PD-Like Fuzzy-Neural-Network Controller for Brushless Drives Rubaai, A.; Young, P. Industry Applications, IEEE Transactions on Volume: 47.

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Presentation transcript:

EKF-Based PI-/PD-Like Fuzzy-Neural-Network Controller for Brushless Drives Rubaai, A.; Young, P. Industry Applications, IEEE Transactions on Volume: 47 , Issue: 6 Digital Object Identifier: 10.1109/TIA.2011.2168799 Publication Year: 2011 , Page(s): 2391 – 2401 IEEE JOURNALS & MAGAZINES Student : Tz-Han Jung

Abstract This paper presents the development of a fuzzyneural-network (FNN) proportional–integral (PI)-/proportional–derivative (PD)-like controller with online learning for speed trajectory tracking of a brushless drive system. The design implements the novel use of the extended Kalman filter (EKF) to train FNN structures as part of the PI-/PD-like fuzzy design. The objective is to replace the conventional PI–derivative (PID) controller with the proposed FNN PI-/PD-like controller with EKF learning mechanism.

Proposed PI-/PD-like FNN controller structure

FNN PI.PD structure

Block diagram of the hardware apparatus

under normal condition

under zero speed

under disturbance

under load

under constant speed

poor initial condition & training improvement

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