• Proceedings of the KIEE Conference
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• 2002.07b
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• pp.1165-1168
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• 2002

This paper presents a neural network based self-tuning fuzzy PID control scheme with variable learning rate for sensorless vector controlled induction motor drives. MRAS(Model Reference Adaptive System) is used for rotor speed estimation. When induction motor is continuously used long time. its electrical and mechanical parameters will change, which degrade the performance of PID controller considerably. This paper re-analyzes the fuzzy controller as conventional PID controller structure, introduces a single neuron with a back-propagation learning algorithm to tune the control parameters, and proposes a variable learning rate to improve the control performance. The proposed scheme is simple in structure and computational burden is small. The simulation using Matlab/Simulink and the experiment using DS1102 board show the robustness of the proposed controller to parameter variations.

• Proceedings of the KIEE Conference
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• 2001.07b
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• pp.1182-1184
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• 2001

This paper presents a neural network based self-tuning fuzzy PID control scheme for induction motor speed control. The PID controller is being widely used in industrial applications. When continuously used long time, the electric and mechanical parameters of induction motor change, degrading the performance of PID controller considerably. This paper re-analyzes the fuzzy controller as conventional PID controller structure, and proposes a neural network based self-tuning fuzzy PID controller whose scaling factors are adjusted automatically. Proposed scheme is simple in structure and computational burden is small. The simulation using Matlab/Simulink is performed to verify the effectiveness of the proposed scheme.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.67.1-67
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• 2001

This paper presents a neural network based self-tuning fuzzy PI-PD control scheme for robust speed control of induction motor. The PID controller is being widely used in industrial applications. When continuously used long time, the electric and mechanical parameters of induction motor change, degrading the performance of PID controller considerably. This paper re-analyzes the fuzzy controller as conventional PID controller structure, and proposes a neural network based self-tuning fuzzy PI-PD controller whose scaling factors are adjusted automatically. Proposed scheme is simple in structure and computational burden is small ...

• Korean Journal of Materials Research
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• v.16 no.6
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• pp.382-385
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• 2006

Ni-doped $CoSb_3$ was prepared by the hot pressing, and its doping effects on the thermoelectric properties were investigated. Single phase ${\delta}-CoSb_3$ was successfully obtained by encapsulated induction melting and the subsequent heat treatment at 773 K for 24 hrs, followed by the hot pressing under 60 MPa at 773 K for 2 hrs. Nickel atoms acted as electron donors by substituting cobalt atoms. Thermoelectric properties were remarkably improved by the Ni doping.

• Korean journal of food and cookery science
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• v.28 no.6
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• pp.821-828
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• 2012

In an attempt to identify the neuroprotective effect of Cudrania tricuspidata (CT) leaves against ROS (reactive oxygen species)-induced oxidative stress in neuronal cells, the extracts from CT leaves were investigated using PC12 cells and N18-RE-105 cells. The methanolic and ethanolic extracts from CT were denoted as CTM (Cudrania tricuspidata Leaves methanolic extracts) and CTE (Cudrania tricuspidata Leaves ethanolic extracts), respectively. The neuroprotective effects of the extracts were measured by DCF-DA assay, MTT reduction assay, and LDH release assay. The PC12 cells exposed to $H_2O_2$-induced oxidative stress and the N18-RE-105 cells exposed to glutamate-induced oxidative stress were treated with various concentrations of CTM and CTE. The results, CTM treatments resulted in the induction of a dose-dependent protective effect in PC12 cells and N18-RE-105 cells. Interestingly, CTE also showed neuroprotective effect in PC12 cells and N18-RE-105 cells. Therefore, these results suggest that CTM and CTE could be a new potential candidate as neuroprotective agents against ROS-induced oxidative stress in neuronal cells.

• The Korea Journal of Herbology
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• v.31 no.1
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• pp.25-31
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• 2016

Objectives : The present study was conducted to evaluate protective effects of Combined Extract of young persimmon fruit and citrus peel (PCM) in Reflux Esophagitis(RE) rats.Methods : Twenty-four Sprague-Dawley (SD) rats were divided four groups and each group had six rats ; Normal group, RE control group, RE group treated PCM 50 ,100 mg/kg body weight group. Reflux esophagitis was induced that tied the pylorus and fundus in SD rats stomach. PCM was administered at 50, 100 mg/kg body weight 2 hrs prior to induction of RE. After 6 hrs, the effects of PCM treated rats were compared with those of normal and control rats. We have performed an analysis such as pH of stomach secretion, oxidative stress biomarkers in serum, and western blot.Results : The increased esophageal mucosa damage by RE was markedly improved by PCM treatment in a dose-dependent manner. Also, the administration of PCM decreased the elevated serum reactive oxygen species (ROS) and peroxynitrite (ONOO^-) in serum. The protein expressions of anti oxidant such as SOD, catalase, GPx exhibited down-regulation by PCM treatment in tissues. And, PCM effectively reduce inflammatory cytokines such as inflammation-related proteins cyclooxygenase-2 (COX-2), inducible nitric oxide synthase (iNOS), Tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6) in RE rats. In addition, NFκB and p-IκBɑ were decreased in PCM-adiministrated RE rats. But there was no difference on stomach secretion pH between reflux esophagitis rats and PCM administration rat group.Conclusions : In conclusion, administration of PCM (50, 100 mg/kg body weight) made esophagus have less inflammation and injury by decreased NFκB path way. These findings suggest that PCM could have Improving effects on reflux esophagitis.

• Proceedings of the KIEE Conference
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• 2005.07d
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• pp.2649-2651
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• 2005

In trains driven by electric motor, when the adhesion force between rail and driving wheel decreases suddenly, the electric motor coach has slip phenomena. The characteristics of adhesion force coefficient are strongly affected by the conditions between rails and driving wheels, such as moisture, dust, and oil on the rails and so on. This paper proposes the vector control structure for the improved re-adhesion control with paralleled control of induction motors under the sudden variation of the adhesion force.

• Journal of international Conference on Electrical Machines and Systems
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• v.1 no.1
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• pp.104-113
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• 2012

Wind farm grid codes require wind generators to ride through voltage sags, which means that normal power production should be re-initiated once the nominal grid voltage has been recovered. Doubly Fed Induction Generator (DFIG) based wind farm is gaining popularity these days because of its inherent advantages like variable speed operation and independent controllability of active and reactive power over conventional Induction Generator (IG). This paper proposes a new control strategy using DFIGs for stabilizing a wind farm composed of DFIGs and IGs. Simulation analysis by using PSCAD/EMTDC shows that the DFIGs can effectively stabilize the IGs and hence the entire wind farm through the proposed control scheme by providing sufficient reactive power to the system.

• Proceedings of the KIEE Conference
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• 1999.07a
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• pp.461-464
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• 1999

To improve traction effort performance and stability for the Korean High-Speed Railway Train, practical re-adhesion controller including a novel anti-slip control scheme is proposed. The presented method is verified by train running simulation results based on induction motor vector control with PWM inverter.

• Korean Journal of Materials Research
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• v.16 no.9
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• pp.529-532
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• 2006

Sn-filled $Co_8Sb_{24}$ skutterudites were synthesized by the encapsulated induction melting process. Single ${\delta}-phase$ was successfully obtained by subsequent annealing and confirmed by X-ray diffraction analysis. Temperature dependences of Seebeck coefficient, electrical resistivity and thermal conductivity were examined from 300 K to 700 K. The positive Seebeck coefficient confirmed the p-type conductivity of the Sn-filled $Co_8Sb_{24}$. Electrical resistivity increased with increasing temperature, which shows that the Sn-filled $Co_8Sb_{24}$ skutterudite is a highly degenerate semiconductor. Thermal conductivity was reduced by Sn-filling because the filler atoms acted as phonon scattering centers in the skutterudite lattice. Thermoelectric figure of merit was enhanced by Sn filling and its optimum filling content was considered to be $z{\leq}0.5$ in the $Sn_zCo_8Sb_{24}$ system.