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dc.contributor.advisorWatkins, John M.
dc.contributor.authorHariharan, Aishvarya
dc.date.accessioned2017-02-16T20:06:02Z
dc.date.available2017-02-16T20:06:02Z
dc.date.issued2016-05
dc.identifier.othert16043
dc.identifier.urihttp://hdl.handle.net/10057/12868
dc.descriptionThesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer Science
dc.description.abstractIn current scenario, it is significant to have harmful emissions under control and supervision by deploying control technology is indispensable. In the thermal power plants, diesel engine industries hazardous gases are being emitted and Nitric Oxide gases (represented by NOx) are one among them. Thus, (EPA) Environmental Protection Agency has set standards where the industry has to pertain to it in order to minimize the level of NOx to a certain level. Selective Catalytic Reduction (SCR) means converting nitrogen oxides [NOx] with the aid of a catalyst into nitrogen and water using a reducing agent ammonia (NH3) in this example. In the existing system, the two classical Proportional Integral Derivative controllers (cascade controller) is employed to reduce the NOx value by predicting the set point of ammonia. In this process, we get higher cost, increased peak overshoot and more settling time, which caused time delay affecting the process to a certain extent. In the proposed system, we are incorporating Linear Quadratic Regulator in place of two PID controllers, where we optimize the system to get a constant feedback which overcomes the existing disadvantages of the existing system. The LQR technique minimizes the energy of the system by giving minimum cost which is lesser than that of nominal cost of the system. This also gives low cost, faster setting time and less peak overshoot when compared to PID controller.
dc.format.extentx, 60
dc.language.isoen_US
dc.publisherWichita State University
dc.rightsCopyright 2016 by Aishvarya Hariharan
dc.subject.lcshElectronic thesis
dc.titleOptimal control in selective catalytic reduction using linear quadratic regulator
dc.typeThesis


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  • CE Theses and Dissertations
    Doctoral and Master's theses authored by the College of Engineering graduate students
  • EECS Theses and Dissertations
    Collection of Master's theses and Ph.D. dissertations completed at the Dept. of Electrical Engineering and Computer Science
  • Master's Theses
    This collection includes Master's theses completed at the Wichita State University Graduate School (Fall 2005 --)

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