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    <title>DSpace Community:</title>
    <link>http://localhost:8081/jspui/handle/123456789/8</link>
    <description />
    <pubDate>Tue, 26 May 2026 08:13:53 GMT</pubDate>
    <dc:date>2026-05-26T08:13:53Z</dc:date>
    <item>
      <title>FPGA BASED DIGITAL RELAYS</title>
      <link>http://localhost:8081/jspui/handle/123456789/20888</link>
      <description>Title: FPGA BASED DIGITAL RELAYS
Authors: Rao, Balaga Chandrasekhara
Abstract: The recent advancement of digital technology is the re-configurable hardware i.e. &#xD;
field programmable gate array (FPGA), programmed by Hardware Description &#xD;
Language (HDL) used for high-speed applications. It has identifications for &#xD;
developing intelligent electronic devices, which are used in the power system &#xD;
components and smart grid applications i.e. fast relay for the protection of the power &#xD;
systems, operation and control asking high computational demand, and parallel &#xD;
processing. Some inherent benefit of the FPGA device is the parallelism of the &#xD;
hardware that increases the execution speed compared to sequential software &#xD;
architecture based technologies. Due to these predominant and some additional &#xD;
features making it more adaptable, are being considered for the protection and &#xD;
control through detection of faults with minimum execution time. &#xD;
The fault detection system on FPGA can be divided into 3 major categories- the &#xD;
communication module, signal processing module &amp; relaying module. The work &#xD;
presented here is relaying module of FPGA based digital relays. It consists of &#xD;
various faults in power system network, symmetrical component analysis, different &#xD;
kinds of relays based on their time of operation and current vs time characteristics of &#xD;
IDMT relay. &#xD;
Followed by block diagrams of IPs generated using Xilinx System Generator. &#xD;
IPs developed are verified using Xilinx Vivado tool. Verification of the modules &#xD;
developed are carried out with sample signals and recording the simulation results &#xD;
that shows the proper operation of them.</description>
      <pubDate>Tue, 01 Jun 2021 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://localhost:8081/jspui/handle/123456789/20888</guid>
      <dc:date>2021-06-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>PROTECTION AND IMPACT OF CONVERTER DOMINATED  NETWORKS AND LOW INERTIA SYSTEMS</title>
      <link>http://localhost:8081/jspui/handle/123456789/20849</link>
      <description>Title: PROTECTION AND IMPACT OF CONVERTER DOMINATED  NETWORKS AND LOW INERTIA SYSTEMS
Authors: Agarwal, Vivek
Abstract: Microgrids are becoming very crucial in modern power systems due to the increasing &#xD;
use of distributed generation by renewable energy over the fossil fuel-based generation. The &#xD;
distribution system conventionally fed by synchronous generators majorly uses directional and &#xD;
inverse definite minimum time overcurrent relays, which is based on the principle of &#xD;
overcurrent detection. The short circuit faults create low impedance paths resulting in high &#xD;
currents of about 10 times of the rated current to flow through the system. This abnormal rise &#xD;
in currents is detected by overcurrent relays to detect and locate the fault in the system.  &#xD;
But in a distribution system or microgrid which is fed completely or having high &#xD;
dominance of renewable energy sources using the inverter interface, this concept of overcurrent &#xD;
detection cannot be used efficiently because the power electronic devices such as IGBTs and &#xD;
Power MOSFETs used in the inverters do not allow the currents of such high magnitudes to &#xD;
flow through them due to their thermal and current carrying limits, also devices with such high &#xD;
limits can be very expensive if available. Hence the need of using new strategies for protection &#xD;
of such systems needs to be developed.  &#xD;
Differential protection principle could be used for this purpose efficiently but it is very &#xD;
costly due to the requirement of high bandwidth communications. Hence in this project, fault &#xD;
detection by under voltage principle is proposed, as the voltage decreases at the time of fault &#xD;
and the zero sequence currents increases during ground faults. For undervoltage principle to be &#xD;
used effectively the coordination between relay is a main problem. Communication based &#xD;
methods solve this problem but they are expensive. Hence this report uses voltage based time &#xD;
characteristics that uses local voltage measurements and do not need communication. The &#xD;
strategy works on all kind of DGs, fault types, islanded and grid connected mode of operations. &#xD;
To verify the proposed strategy, a seven bus microgrid is tested in PSCAD. First the &#xD;
characteristics of inverter with LVRT feature and current limiting action in PQ control mode &#xD;
is studied and then, it is modelled as a voltage controlled current source. This model is then &#xD;
used for testing the system in PSCAD. The system is subjected to faults at various location in &#xD;
grid connected and islanded modes of operation. The protection strategy successfully works in &#xD;
all cases.</description>
      <pubDate>Tue, 01 Jun 2021 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://localhost:8081/jspui/handle/123456789/20849</guid>
      <dc:date>2021-06-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Sliding Mode Control of a Differential Drive Mobile  Robot</title>
      <link>http://localhost:8081/jspui/handle/123456789/20765</link>
      <description>Title: Sliding Mode Control of a Differential Drive Mobile  Robot
Authors: Prakash, Rudra
Abstract: This report presents the sliding mode control (SMC) design of a Differential Drive Mobile &#xD;
Robot (DDMR) following a trajectory using the SMC techniques. Control of DDMR generally &#xD;
follows two approaches, trajectory following, positioning motion. In this report, the kinematic &#xD;
and dynamical models of DDMR are found such that mathematical analysis can be done. The &#xD;
model is nonlinear, and its control needs two state variables of which only one can be measured; &#xD;
another one is estimated with the help of the observer. Particularly to follow any trajectory, we &#xD;
required global coordinates of the path. However, in our application, we neither can sense that &#xD;
nor we measure, so we have to estimate the global coordinates of the path with the help of an &#xD;
observer. In this report, we proposed one of the robust observer sliding mode observer (SMO).  &#xD;
Project work includes the designing, analysis and implementation of a nonlinear sliding mode &#xD;
observer. Then we implemented the SMO in place of linear Luenberger observer and verified &#xD;
the model again with MATLAB/Simulink software. &#xD;
While using the SMC approach, we have also analyzed various reaching laws, i.e. constant &#xD;
reaching law and power rate reaching law and found that chattering was significantly reduced &#xD;
because of the power rate reaching law. One modality of movement includes forward &#xD;
movement. To find the proper control action, the Lyapunov theorem for nonlinear systems is &#xD;
applied. Verification of the model, including SMC and SMO, is done with the help of &#xD;
simulation in MATLAB/Simulink software. Results/Diagrams obtained from the simulation &#xD;
are shown in this report. The future work includes hardware implementation of this model.</description>
      <pubDate>Sat, 01 May 2021 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://localhost:8081/jspui/handle/123456789/20765</guid>
      <dc:date>2021-05-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>MODEL PREDICTIVE CONTROL USING STATE SPACE  MODEL</title>
      <link>http://localhost:8081/jspui/handle/123456789/20764</link>
      <description>Title: MODEL PREDICTIVE CONTROL USING STATE SPACE  MODEL
Authors: Meena, Raj Kumar
Abstract: In this report, basic idea of MPCis introduced. The first step in MPC design is modelling of &#xD;
system. In this work discrete state space model of the system is used and an integrator is &#xD;
added to the system to reduce steady state error. The method of predicting the future output &#xD;
and the optimization method used are explained. MPC design on a single input single output &#xD;
system is done and receding horizon control is implemented. The report also explains &#xD;
dynamics matrix control (DMC).</description>
      <pubDate>Thu, 01 Jul 2021 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://localhost:8081/jspui/handle/123456789/20764</guid>
      <dc:date>2021-07-01T00:00:00Z</dc:date>
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