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Payam, Amir Farrokh,Hashemnia, Mohammad Naser,Fai, Jawad The Korean Institute of Power Electronics 2011 JOURNAL OF POWER ELECTRONICS Vol.11 No.5
This paper describes a novel Direct Torque Control (DTC) method for adjustable speed Doubly-Fed Induction Machine (DFIM) drives which is supplied by a two-level Space Vector Modulation (SVM) voltage source inverter (DTC-SVM) in the rotor circuit. The inverter reference voltage vector is obtained by using input-output feedback linearization control and a DFIM model in the stator a-b axes reference frame with stator currents and rotor fluxes as state variables. Moreover, to make this nonlinear controller stable and robust to most varying electrical parameter uncertainties, a two layer recurrent Artificial Neural Network (ANN) is used to estimate a certain function which shows the machine lumped uncertainty. The overall system stability is proved by the Lyapunov theorem. It is shown that the torque and flux tracking errors as well as the updated weights of the ANN are uniformly ultimately bounded. Finally, effectiveness of the proposed control approach is shown by computer simulation results.
Amir Farrokh Payam,Mohammad Naser Hashemnia,Jawad Faiz 전력전자학회 2011 JOURNAL OF POWER ELECTRONICS Vol.11 No.5
This paper describes a novel Direct Torque Control (DTC) method for adjustable speed Doubly-Fed Induction Machine (DFIM) drives which is supplied by a two-level Space Vector Modulation (SVM) voltage source inverter (DTC-SVM) in the rotor circuit. The inverter reference voltage vector is obtained by using input-output feedback linearization control and a DFIM model in the stator a-b axes reference frame with stator currents and rotor fluxes as state variables. Moreover, to make this nonlinear controller stable and robust to most varying electrical parameter uncertainties, a two layer recurrent Artificial Neural Network (ANN) is used to estimate a certain function which shows the machine lumped uncertainty. The overall system stability is proved by the Lyapunov theorem. It is shown that the torque and flux tracking errors as well as the updated weights of the ANN are uniformly ultimately bounded. Finally, effectiveness of the proposed control approach is shown by computer simulation results.
Design of an Adaptive Backstepping Controller for Doubly-Fed Induction Machine Drives
Dehkordi, Behzad Mirzaeian,Payam, Amir Farrokh,Hashemnia, Mohammad Naser,Sul, Seung-Ki The Korean Institute of Power Electronics 2009 JOURNAL OF POWER ELECTRONICS Vol.9 No.3
In this paper, a nonlinear controller is proposed for Doubly-Fed Induction Machine (DFIM) drives. The nonlinear controller is designed based on an adaptive backstepping control technique, using a fifth order model of an induction machine in the synchronous d & q axis rotating reference frame, whose d axis coincides with the space voltage vector of the main AC supply, and using the rotor current and stator flux components as state variables. The nonlinear controller can perfectly track the torque reference signal measured in the stator terminals under the condition of unity power factor regulation, in spite of the stator and rotor resistance variations. In order to make the drive system capable of operating in the motoring and generating modes below and above the synchronous speed, two level Space-Vector PWM (SV-PWM) back-to-back voltage source inverters are employed in the rotor circuit. It is confirmed through computer simulation results that the proposed control approach is effective and valid.
Design of an Adaptive Backstepping Controller for Doubly-Fed Induction Machine Drives
Behzad Mirzaeian Dehkordi,Amir Farrokh Payam,Mohammad Naser Hashemnia,Seung-Ki Sul 전력전자학회 2009 JOURNAL OF POWER ELECTRONICS Vol.9 No.3
In this paper, a nonlinear controller is proposed for Doubly-Fed Induction Machine (DFIM) drives. The nonlinear controller is designed based on an adaptive backstepping control technique, using a fifth order model of an induction machine in the synchronous d & q axis rotating reference frame, whose d axis coincides with the space voltage vector of the main AC supply, and using the rotor current and stator flux components as state variables. The nonlinear controller can perfectly track the torque reference signal measured in the stator terminals under the condition of unity power factor regulation, in spite of the stator and rotor resistance variations. In order to make the drive system capable of operating in the motoring and generating modes below and above the synchronous speed, two level Space-Vector PWM (SV-PWM) back-to-back voltage source inverters are employed in the rotor circuit. It is confirmed through computer simulation results that the proposed control approach is effective and valid.
Vahid Khanjarsim,Jamshid Karimi,Iraj Khodadadi,Adel Mohammadalipour,Mohammad Taghi Goodarzi,Ghasem Solgi,Mohammad Hashemnia 전남대학교 의과학연구소 2017 전남의대학술지 Vol.53 No.2
Nilotinib as a tyrosine kinase inhibitor has been recently used to improve the liver fibrosis process, but the exact mechanisms still require further clarification. In this study, we investigated the anti-fibrotic effects of Nilotinib via RAGE/HMGB1axis and antioxidant mechanisms. This experimental study was performed in the Hamadan University of Medical Sciences, Iran, from May 2015 to December 2016. Liver fibrosis was induced in Wistar male rats by CCL4. Rats were gavaged daily with Nilotinib (10 mg/kg). RAGE, HMGB1, TNF-a and TGF-b mRNA expression were evaluated by quantitative RT-PCR. TNF-a protein levels were measured using the immunoassay method. Thiol groups, carbonyl groups, nitric oxide levels and glutathione peroxidase activity were measured by spectrophotometric methods.The results showed that Nilotinib decreased TNF-a, TGF-b, RAGE and HMGB1 mRNA expression (p<0.001) in the liver tissues of the fibrosis group. Nilotinib also decreased carbonyl groups and nitric oxide levels and increased thiol groups and glutathione peroxidase activity in the fibrosis groups. The histopathological changes were found to be attenuated by Nilotinib. In conclusion, Nilotinib can improve liver fibrosis and open new mechanisms of the anti-fibrotic properties of Nilotinib.