Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/27743
Title: Modeling and control of Superheated steam Temperature control process
Researcher: Poornaselvan K J
Guide(s): Devarajan N
Keywords: Adaptive network Based Fuzzy Inference System
Auto regressive with Exogenous
Genetic Algorithm
Mettur Thermal Power Station
Upload Date: 11-Nov-2014
University: Anna University
Completed Date: 01/09/2005
Abstract: newlinePower plants are virtually the prime movers of Indian economy The newlinecontribution of thermal power plants to the total power generated has considerably newlineincreased over the past decade The superheated steam temperature control is critical newlineto the efficient operation of steam boiler turbines The superheated steam newlinetemperature control process of 210MW Plant of Mettur Thermal Power Station newline MTPS Mettur India is taken up as case study newlineModeling is the fundamental step to process control From the real newlinetime data obtained from the process using Auto regressive with Exogenous newlineinput ARX method four transfer function models are obtained These newlinemodels are used for the design of controllers for the process Artificial neural newlinenetworks are popularly used for the identification of nonlinear dynamical newlinesystems The nonlinear models developed are the neural network model and newlinethe Adaptive network Based Fuzzy Inference System ANFIS model newlinePID controllers are versatile simple and robust and therefore find newlineWide spread application in industry A new scheme for the tuning of PID newlinecontroller parameters using symbolic computation is proposed Discrete PID newlinecontrollers are designed for the discrete models by tuning of the controller newlineparameters based on the reduction of the cumulative error newlineGenetic Algorithm GA is a powerful optimization method which newlinecan be used in control systems in conjunction with other techniques to find newlineoptimum controller parameters Simulated Annealing SA is an optimization newlinemethod similar to the physical process of heating up a solid until it melts newlinefollowed by cooling it down to crystallize into a perfect lattice A hybrid newlinegenetic algorithm simulated annealing approach is presented to determine the newlineparameters of a PID controller newline newline
Pagination: xxiii, 126p.
URI: http://hdl.handle.net/10603/27743
Appears in Departments:Faculty of Electrical and Electronics Engineering

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02_certificate.pdf5.62 kBAdobe PDFView/Open
03_abstract.pdf9.18 kBAdobe PDFView/Open
04_acknowledgement.pdf6.37 kBAdobe PDFView/Open
06_chapter1.pdf24.44 kBAdobe PDFView/Open
07_chapter2.pdf57.92 kBAdobe PDFView/Open
08_chapter3.pdf530.66 kBAdobe PDFView/Open
09_chapter4.pdf1.25 MBAdobe PDFView/Open
10_chapter5.pdf11.88 kBAdobe PDFView/Open
11_reference.pdf42.02 kBAdobe PDFView/Open
12_publication.pdf8.34 kBAdobe PDFView/Open
13_vitae.pdf5.87 kBAdobe PDFView/Open


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