A Variable Gain PI Controller Used for Speed Control of a Direct Torque Neuro Fuzzy Controlled Induction Machine Drive

A. MILOUDI; Eid A. AL-RADADI; A. D. DRAOU

Makale detayları

A Variable Gain PI Controller Used for Speed Control of a Direct Torque Neuro Fuzzy Controlled Induction Machine Drive

Yazarlar:

A. MILOUDI | Eid A. AL-RADADI | A. D. DRAOU

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2007 Vol.15 Issue 1, pp.37-49

Belge Tipi:

Makale

Yayın Tarihi:

12/2006

Belge Dili:

Türkçe

Document ID (Org No.):

2000744118

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

This paper presents an original variable gain PI (VGPI)  controller for speed control of a direct torque neuro fuzzy controlled  (DTNFC) induction motor drive.    First, a VGPI speed controller is designed to replace the classical PI  controller in a conventional direct torque controlled induction motor  drive.  Its simulated performances are then compared to those of a  classical PI controller.    Then, a direct torque neuro fuzzy control (DTNFC) for a voltage source  PWM inverter fed induction motor drive is presented.  This control  scheme uses the stator flux amplitude and the electromagnetic torque  errors through an adaptive NF inference system (ANFIS) to generate a  voltage space vector (reference voltage) which is used by a space  vector modulator to generate the inverter switching states.  In this  paper a modified ANFIS structure is proposed.  This structure  generates the desired reference voltage by acting on both the  amplitude and the angle of its components.    Simulation of the DTNFC induction motor drive using VGPI for speed  control shows promising results.  The motor reaches the reference  speed rapidly and without overshoot, load disturbances are rapidly  rejected and variations of some of the motor parameters are fairly  well dealt with.

 

This paper presents an original variable gain PI (VGPI)  controller for speed control of a direct torque neuro fuzzy controlled  (DTNFC) induction motor drive.    First, a VGPI speed controller is designed to replace the classical PI  controller in a conventional direct torque controlled induction motor  drive.  Its simulated performances are then compared to those of a  classical PI controller.    Then, a direct torque neuro fuzzy control (DTNFC) for a voltage source  PWM inverter fed induction motor drive is presented.  This control  scheme uses the stator flux amplitude and the electromagnetic torque  errors through an adaptive NF inference system (ANFIS) to generate a  voltage space vector (reference voltage) which is used by a space  vector modulator to generate the inverter switching states.  In this  paper a modified ANFIS structure is proposed.  This structure  generates the desired reference voltage by acting on both the  amplitude and the angle of its components.    Simulation of the DTNFC induction motor drive using VGPI for speed  control shows promising results.  The motor reaches the reference  speed rapidly and without overshoot, load disturbances are rapidly  rejected and variations of some of the motor parameters are fairly  well dealt with.

Makale detayları

A Variable Gain PI Controller Used for Speed Control of a Direct Torque Neuro Fuzzy Controlled Induction Machine Drive

Yazarlar: A. MILOUDI | Eid A. AL-RADADI | A. D. DRAOU

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2007 Vol.15 Issue 1, pp.37-49

Belge Tipi: Makale

Yayın Tarihi: 12/2006

Belge Dili: Türkçe

Document ID (Org No.): 2000744118

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

A. MILOUDI | Eid A. AL-RADADI | A. D. DRAOU

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2007 Vol.15 Issue 1, pp.37-49

Belge Tipi:

Makale

Yayın Tarihi:

12/2006

Belge Dili:

Türkçe

Document ID (Org No.):

2000744118

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632