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Oruganti Manogna,K. Ramesh Babu,P. Ramesh 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.12
In this paper, the proposed system is to improve power factor of switched reluctance drive and also battery charging capability in regenerative mode of a two-stage power converter based on current source rectifier (CSR). At the CSR stage in the input of SRM converter, eliminate dc link's capacitors and the charging capability of energy saving in regenerative operation mode of SRM drive. And also it controls the speed and current. This paper describes the design of new converter, consisting of half-bridge IGBT modules and Current source rectifiers with battery charging capability of SRM for closed loop control of switched reluctance drive are proposed. The validity and effectiveness of the proposed approach is shown by MATLAB /simulation.
Oruganti, Sai Kiran,Sang Hyun Heo,Hyunggun Ma,Bien, Franklin IEEE 2015 IEEE Sensors Journal Vol. No.
<P>This paper presents a new kind of touch sensor that utilizes the concept of wireless energy transfer (WET). A near-field sheet like a waveguide-based WET system was used for this purpose based on its geometric suitability. The approaching target object (human finger bioimpedance) disturbs the overall sheet reactance based on a complex power conservation equation at the resonant frequency. Thus, the drop in the efficiency of the power transfer can be utilized to carry out the task of sensing. The WET sensor was designed to operate at 29 MHZ, with a power transfer efficiency of -3.18 dB. An experimental demonstration was performed by feeding a 10 V peak-to-peak sine wave at the transmitter end and reading a dc output using a full-wave rectifier and multimeter at the receiver end. The system was designed to achieve a drop of 2.1 V when a touch was registered. The sensor was also designed to operate in the proximity mode. For operation in the proximity mode, the receiver had to be a wave trap cavity. This was achieved by designing the receiver to have a cylindrical wave cavity arrangement. The WET sensor had to be unaffected by the presence of an electric field, and this was demonstrated by carrying out sensing while the sensor was located under an LCD, which has a considerable electric field. It was experimentally demonstrated that the sensor had a linear output in proximity mode. Proposed sensor could be ideal candidate for: 1) touch screen panels; 2) human-robotics interactions; and 3) security applications.</P>
Oruganti, S.K.,Heo, S.H.,Bien, F.,Ma, H. Institution of Electrical Engineers 2014 Electronics letters Vol.50 No.12
The potential use of sheet-like waveguide-based wireless energy transfer systems for a two-way power and/or high-data rate transmission-reception through thick metal walls is investigated. The proposed system utilises the near-field evanescent wave concept to transmit energy and/or data. Compared with wireless energy transfer devices based on magnetic resonance coupling, the transmission efficiency of the investigated method is not affected by the shielding offered by metal sheets. For the investigation, a 150 x 150 mm(2) sheet-like waveguide transmitter and a cylindrical wave-cavity receiver were designed. The receiver achieved a transfer efficiency of -3.76 dB, while transmitting power through galvanised iron sheets. The prime objective of this investigation was to sustain the power and/or data transfer efficiency despite the variation of the obstructing metal wall thicknesses from 1.5 to 22.5 mm. The proposed system was designed to operate at 25 MHz, enabling 50 Mbit/s data transfer using a function generator.
Flow Stress Modeling for Copper under Changing Process Conditions
Oruganti, Ramkumar K .,Rao, K . P . 대한금속재료학회(대한금속학회) 1998 METALS AND MATERIALS International Vol.4 No.3
Realistic simulation of metal forming processes requires constitutive equations that describe the behavior of a material under varying process conditions. The equations that have hitherto been developed to address this problem are generally too involved and require the determination of many constants. In this paper, a simple approach based on the representative nature of the work hardening rate, which enables the use of an elementary rate equation in such modelling, is introduced. A prediction methodology based on the concept of fading memory is developed and is found to give good predictions in the case of copper. A mechanistic interpretation of the approach is proposed.
Sai Kiran Oruganti,Olzhas Kaiyrakhmet,Sang Hyun Heo,Bon Young Lee,Woo-jin Park,Seoktae Seo,Franklin Bien 대한전자공학회 2016 대한전자공학회 학술대회 Vol.2016 No.6
We present a new class of wireless charging system that generates an evanescent mode surface wave to carry power through metal surfaces that enables true Internet of Things environment. The presented system is alignment free, truly electromagnetic and long range. The presented wireless power charging system can transmit 80 W power across 4 m in a random configuration metal surface.
Ngoc Nguyen,Oruganti, Sai K.,Kyungmin Na,Bien, Franklin IEEE 2014 IEEE Transactions on Vehicular Technology VT Vol.63 No.8
<P>This paper presents an adaptive controller for a battery equalization system (BES) for serially connected Li-ion battery packs. The proposed equalization scheme consists of software and hardware parts to implement an adaptive neuro-fuzzy algorithm. The proposed combined software and hardware implementation of the adaptive neuro-fuzzy algorithm provides an offline learning ability to track the dynamic reactions on battery packs and a high-speed response for equalizing currents in the individual cell equalizers (ICEs). The output currents driving pulsewidth-modulated (PWM) signals are generated from the proposed hardware analog controllers. A feedback line is utilized to observe these output currents for the training process. The adaptive neuro-fuzzy algorithm is implemented in the main processor to provide adaptive parameters for the hardware. The proposed BES has an adaptability and tracking ability to deal with dynamic reactions of serially connected battery cells. The hardware controllers are implemented in a 0.13- μm CMOS technology with a supply voltage of 2.5 V. The results demonstrate that the proposed scheme has the ability to learn from previous stages and to provide a precise model of the battery cell voltages and currents. The proposed system achieved learning accuracy error of 1.8 × e<SUP>-5</SUP>.</P>
Neuro-fuzzy controller for battery equalisation in serially connected lithium battery pack
Thi Thu Ngoc Nguyen,Hyon-Gi Yoo,Oruganti, Sai K.,Bien, Franklin IET 2015 IET power electronics Vol.8 No.3
<P>This study presents a non-linear, dynamic control method for equalising battery cell voltages in a serially connected lithium-ion battery system based on an adaptive neuro-fuzzy inference system. By using a combination of neuron networks and fuzzy logic, the optimal control method is obtained by self-learning capability to equalise the current between battery cells. The duty cycle used to control the metal-oxide-semiconductor field-effect transistors in individual battery cell equalisers are changed based on the dynamic equalising and system status. While energy is transferred from higher voltage cells to lower voltage cells, online measurement is utilised to collect data for tracking. Therefore the duty cycle control has an optimal response in this battery system. The state of the optimal control output is presented in simulation results. To demonstrate the effectiveness of the proposed control scheme and robustness of the acquired neuron-fuzzy controller, the controller was implemented in a serially connected lithium battery system model using a microprocessor. The proposed system achieved a learning accuracy error of 1.8 × 10<SUP>-5</SUP>, and the equalising time was approximately 3000 s for a 0.25-V voltage gap.</P>