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X-ORIGINAL-URL:https://ee.iisc.ac.in
X-WR-CALDESC:Events for EE
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TZID:Asia/Kolkata
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DTSTART:20230101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20230511T153000
DTEND;TZID=Asia/Kolkata:20230511T170000
DTSTAMP:20260528T163821
CREATED:20230510T224334Z
LAST-MODIFIED:20230510T224424Z
UID:240716-1683819000-1683824400@ee.iisc.ac.in
SUMMARY:PhD Oral Examination of Kapil Upamanyu @ 10 am on Thursday\, May 11\, 2023
DESCRIPTION:PhD Oral Examination\n\nName of the candidate: Kapil Upamanyu\nProgramme:                     PhD (Regular)\nDepartment:                    Electrical Engineering\n\nTitle:\nModelling\, Stabilization Methods and Power Amplification for Power Hardware-in-Loop Simulation with Improved Accuracy\n\nSupervisor:                       G Narayanan\n\nDate:                                May 11\, 2023 (Thursday)\nTime:                                10 am – 11:30 am\nVenue:                              Multi-Media Class Room (MMCR)\, EE Department (Hybrid mode)\nVideo link:                       Please find below:\n\nAll are welcome\n\n\n\n\n\n\n\n\nMeeting link \n\n\n\n\n\n\n\n\n\nJoin conversation\nteams.microsoft.com\n\n\n\n\n\n\n  \nThesis title: Modelling\, Stabilization Methods and Power Amplification for Power Hardware-in-Loop Simulation with Improved Accuracy \nAbstract: \n\nSimulations of physical systems are extensively conducted for research and design purpose. Potential of a simulation can be extended significantly by conducting it in real-time. Real-time simulation allows a part of the mathematical model of the system to be replaced by a physical hardware; the real-time simulator (RTS) and the physical hardware interact with each other through sensors and power amplifier (PA). When the operating power level of the PA is considerably higher than that of the sensor signals\, the simulation is called as power hardware in loop (PHIL) simulation. PHIL simulation is a good alternative to the conventional simulation where a part of the system cannot be adequately represented by a mathematical model. Unlike conventional simulation\, PHIL simulation allows the testing of a hardware\, in a safe and controlled environment\, without the rest of the system being available. But several factors\, such as the computation time delay and sampling effects of RTS\, the dynamics of PA and the transport lag of signals\, are part of a PHIL simulation but not that of the actual system. As a result\, the response of the PHIL simulation of a system can differ from that of the actual system. The inaccuracy can be so significant that the PHIL simulation of a system can be unstable even though the actual system is stable\, and vice versa. An unstable PHIL simulation can be stabilized by employing compensation algorithms. This work proposes novel PA for accurate response\, stability analysis methodology for the accurate estimation of instability\, and compensation algorithms for stable response of PHIL simulation. \nConventional switched-mode PAs have limited dynamic response due the presence of passive filter. These PAs employed in a PHIL simulation are unable to accurately replicate the fast transients of the system. An output filter-less voltage source inverter is proposed as a power amplifier suitable to be interfaced with inductive loads (e.g.\, most of the power system loads). Such a PA has a reference tracking bandwidth comparable to the switching frequency. Unlike the output of the conventional PAs\, the output of the proposed PA is completely unaffected by the sudden changes in the current drawn by the loads. The proposed PA is utilized to emulate the transients of synchronous generator\, along with the fast transient corresponding to the field excitation controller\, while feeding a passive linear load. With a proposed improvement in the emulation method\, accurate responses for unbalanced and non-linear loads are also obtained for the emulated generator. With further proposed techniques\, the applicability of the proposed PA is extended for it to be interfaced to PWM converters. The PA is utilized for emulating unbalanced and harmonic (up to 23rd order) grid voltages while testing the control of a PWM rectifier. Accurate current responses are also obtained when the step changes in the grid voltage and the rectifier dc bus reference are considered. \nConventionally\, stability analysis of PHIL simulation is evaluated in continuous-time domain. Since\, a PHIL simulation consists of discrete-time sampling\, a discrete-time domain modelling approach is proposed for more accurate stability analysis. The proposed approach is also used to accurately estimate the stability of a PHIL simulation utilizing compensation algorithms\, such as feedback current filtering method. Novel compensation algorithms\, based on lag compensator and cross coupled compensator\, are proposed for stabilizing those PHIL simulations which cannot be stabilized using existing algorithms. PHIL simulation of a single generator infinite bus power system\, which is originally unstable without and with existing compensation algorithms\, is successfully conducted using the novel cross-coupled compensator. \nPA sourced from a PWM rectifier can be used as 4-quadrant PA. A simple input voltage sensor-less vector control of PWM rectifier is proposed. While the performance of the proposed method\, in terms of THD and power factor\, is comparable to the sensor-based method and existing sensor-less methods\, its computation time requirement is much lower than those for these methods. A discrete-time domain modelling of the PI-controlled current loop of PWM converters is presented. The model is used to derive closed-form time-domain expressions of the current for step changes in the current reference and the disturbance voltage\, for a given set of controller and hardware parameters. Based on the derived expressions\, a pre-filter is proposed to achieve the dead-beat response with the PI-controlled current loop\, while having a disturbance rejection settling time of just ten switching cycles. \nALL ARE WELCOME
URL:https://ee.iisc.ac.in/event/phd-oral-examination-of-kapil-upamanyu-10-am-on-thursday-may-11-2023/
LOCATION:Multi-Media Class Room (MMCR)\, EE Department (Hybrid mode)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20230512T150000
DTEND;TZID=Asia/Kolkata:20230512T180000
DTSTAMP:20260528T163821
CREATED:20230510T231909Z
LAST-MODIFIED:20230510T231909Z
UID:240727-1683903600-1683914400@ee.iisc.ac.in
SUMMARY:[Online] Faculty Candidate Talk Friday 12th May 9:30 am
DESCRIPTION:Dr. Avinash Kumar has applied for a faculty position at the EE Dept IISc. His online talk is scheduled on 12th May 9:30 am. Please find his talk details below. \n \nTopic: Islanding Detection Methods for Inverter Interfaced Distributed Generator (IIDG)\n \n\n\nContinuous disturbance injection-based islanding detection of an inverter-interfaced distributed generator (IIDG) has been a general trend in reported literature work. The major issues that persist in previous islanding detection methods are large Non-Detection Zone (NDZ)\, poor Power Quality (PQ)\, high implementation cost\, and lack of real-time validation. Furthermore\, the selection of a generic threshold is not considered for general applications and depends on the system’s rating. Various types of islanding detection methods are reported in the literature as passive\, active\, and hybrid methods. \nIn this talk\, a local voltage and current measurement-based hybrid islanding detection method for IIDGs will be presented in detail. The parameters are estimated from the fundamental phasors of voltage and current at the Point of Common Coupling (PCC) of IIDG using Space Vector Rotation (SVR). The proposed disturbance in IIDG is injected only after disturbance detection by SVR parameters to mitigate the impact on PQ. Disturbance identification is easy due to the combined PCC voltage and current effects on parameter estimation. The disturbance injection is controlled and self-decaying. Further\, the talk will discuss the validation of the proposed approach on Real-Time Digital Simulator (RTDS) and Controller Hardware In the Loop (CHIL) setup. The talk will also highlight the advantage of the proposed method in terms of real-time efficacy (low islanding detection time) with no NDZ and negligible impact on PQ for the detection of different islanding events. \nAt the end of the talk\, a brief overview of recently reported work on “Dynamic-State-Estimation-Based Cyber Attack Detection for Inverter-Based Resources” will be delivered. \n\nThe link of the talk is: \n\nTeam Link
URL:https://ee.iisc.ac.in/event/online-faculty-candidate-talk-friday-12th-may-930-am-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20230515T163000
DTEND;TZID=Asia/Kolkata:20230515T163000
DTSTAMP:20260528T163821
CREATED:20230510T225124Z
LAST-MODIFIED:20230510T230029Z
UID:240720-1684168200-1684168200@ee.iisc.ac.in
SUMMARY:Ph. D. Thesis Colloquium of Mr. Pradeep K. G.: 11 am Monday\, 15 May: EEG correlates of non-ordinary states of consciousness and slow-paced breathing
DESCRIPTION:  \nTitle: EEG correlates of non-ordinary states of consciousness and slow-paced breathing  \n\n\nName of the student: Pradeep Kumar G  \n\n\nAdvisor: Prof.  A. G. Ramakrishnan  \n\n\nDate and Time: 15 May 2023 (Monday) 11:00 AM  \n\n\nVenue: Hybrid: MMCR\, Hall C 241\, 1st floor\, Department of EE  \nMeeting Link  \n  \n\n\n==================================================================================  \n\n\nTITLE: EEG correlates of non-ordinary states of consciousness and slow-paced breathing  \n\n\nStudies on the non-ordinary states of consciousness (NSCs) induced by meditation\, hypnosis\, and trance are gaining visibility due to their potential efficacy in treating various clinical conditions. Slow-paced breathing at six cycles per minute (cpm) has been labelled as coherent breathing since it has been suggested to induce synchronous resonance frequency in various physiological signals. These self-regulatory or guided processes are practiced primarily to reduce stress and manage emotions and mental health. However\, the underlying mechanisms for the health benefits of these practices still need to be fully understood. Electroencephalography (EEG)\, a non-invasive electrophysiological tool to investigate brain’s electrical activity\, is used to study the changes in brain dynamics during different NSCs.  \n\n\n\n  \n\n\nSignificant contributions of the thesis:  \n\n\n\nChanges in EEG coupling during eyes-open meditation.  \n\n\n\n\nThe interdependencies between brain signals clustered in different groups across the hemispheres were studied using bivariate functional connectivity (FC) methods.  \n\n\nChanges in the FC between EEG electrode pairs were investigated during the meditation practiced by long-term Brahmakumaris Rajyoga meditators with open eyes and during listening to music by controls as the comparable task.  \n\n\n\n\n\n\nCommon and distinct patterns were observed in distinct frequency bands in meditators and control groups. Node-degree strength was consistently higher in meditators than controls in theta band.  \n\n\n\n  \n\n\n\nSynergy and redundancy of the brain during different non-ordinary states of consciousness.  \n\n\n\n\nThis is a multicentric study on three different NSCs: Rajyoga meditation (RM)\, hypnosis\, and self-induced cognitive trance (SICT).  \n\n\nSynergistic and redundant information measures were used to compare and contrast the higher-order interactions during three NSCs.  \n\n\n\n\n\n\nThe synergy of the brain increased during RM and decreased during hypnosis and SICT\, and redundancy decreased during RM.  \n\n\nThe pattern of changes observed in the synergy and redundancy values of each NSC is defined by the phenomenology of the NSC\, including changes in the sense of self\, environmental awareness\, altered sensory perception\, and selective attention.  \n\n\n\n   \n\n\n\nRespiration-entrained brain oscillations during slow-paced breathing.  \n\n\n\n\nCoherence between the cortical activity (EEG) and respiration were analyzed during baseline and slow-paced breathing at six cpm guided by visual metronome.  \n\n\n\n\n\n\nSignificant coherence between respiration and EEG was observed\, with no common localization across subjects. However\, the coherence further increased during the slow-paced breathing at six cpm.  \n\n\nPhase-amplitude coupling showed distinct patterns during baseline and slow-paced breathing in specific EEG frequency bands.  \n\n\nThe modulation index increased during slow-paced breathing compared to baseline\, supporting the link between respiration and brain activity and providing possible insight into the benefits of therapeutic breathing exercises like pranayama.  \n\n\n\n  \n\n\n——————           ALL ARE WELCOME               —————
URL:https://ee.iisc.ac.in/event/ph-d-thesis-colloquium-of-mr-pradeep-k-g-11-am-monday-15-may-eeg-correlates-of-non-ordinary-states-of-consciousness-and-slow-paced-breathing/
LOCATION:MMCR\, Hall C 241\, 1st floor\, EE department
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20230522T133000
DTEND;TZID=Asia/Kolkata:20230527T223000
DTSTAMP:20260528T163821
CREATED:20230519T005801Z
LAST-MODIFIED:20230519T041948Z
UID:240749-1684762200-1685226600@ee.iisc.ac.in
SUMMARY:Research Admission 2023
DESCRIPTION:Info_EE_ResInterview_2023\nChoice of research areas of 2023\n\nEateries:- Click here(Nesara)\, Click here (Sarvam)
URL:https://ee.iisc.ac.in/event/research-admission-2023/
LOCATION:EE\, IISc
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