HYBRID ADAPTIVE NEURO FUZZY BASED SPEED CONTROLLER FOR BRUSHLESS DC MOTOR

K.harshavardhana REDDY; Sudha RAMASAMY; Prabhu RAMANATHAN

Makale detayları

HYBRID ADAPTIVE NEURO FUZZY BASED SPEED CONTROLLER FOR BRUSHLESS DC MOTOR

Yazarlar:

K.harshavardhana REDDY | Sudha RAMASAMY | Prabhu RAMANATHAN

Yayıncı:

Gazi University

Dergi:

Gazi University Journal of Science 2017 Vol.30 Issue 1, pp.93-110

Belge Tipi:

Makale

Yayın Tarihi:

3/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000428489

eISSN:

2147-1762

Özet:

 


This paper presents a Hybrid Adaptive Neuro Fuzzy Control technique for speed control of BLDC motor drives. The proposed controller is an integration of adaptive neuro fuzzy, Fuzzy PID and PD controllers. The objective is to utilize the best attribute of Fuzzy PID and PD controllers, which produces better response than the neuro fuzzy controllers. The Error Back Propagation learning algorithm is used to train the data to minimize learning error to the possible extent. To validate the performance of proposed controller, simulations are done in MATLAB and comparison is made with conventional PI, PD and fuzzy PID controllers. In addition, the performance of proposed controller is bench marked with other controllers reported in literature. The results of the proposed controller are promising in terms of quick settling time, zero peak overshoot and zero steady state error.  

.

Makale detayları

HYBRID ADAPTIVE NEURO FUZZY BASED SPEED CONTROLLER FOR BRUSHLESS DC MOTOR

Yazarlar: K.harshavardhana REDDY | Sudha RAMASAMY | Prabhu RAMANATHAN

Yayıncı: Gazi University

Dergi: Gazi University Journal of Science 2017 Vol.30 Issue 1, pp.93-110

Belge Tipi: Makale

Yayın Tarihi: 3/2017

Belge Dili: Türkçe

Document ID (Org No.): 2000428489

eISSN: 2147-1762

Sayı

Yazarlar:

K.harshavardhana REDDY | Sudha RAMASAMY | Prabhu RAMANATHAN

Yayıncı:

Gazi University

Dergi:

Gazi University Journal of Science 2017 Vol.30 Issue 1, pp.93-110

Belge Tipi:

Makale

Yayın Tarihi:

3/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000428489

eISSN:

2147-1762