Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/242652
Title: Hybrid Soft Computing Approach to Control of Nonlinear System
Researcher: PRAKASH MANSUKHLAL PITHADIYA
Guide(s): VIPUL A SHAH
Keywords: Engineering and Technology,Engineering,Instruments and Instrumentation
University: Gujarat Technological University
Completed Date: 26 04 2019
Abstract: There are many chemical and petrochemical processes plants having multiple inputs and multiple outputs for different processes. This research mainly focuses on searching the optimal controller structure by increasing the controllers integral performance criteria. It is a very difficult to control the highly nonlinear quadruple four tank system. It is also challenging due to the cross coupling effect of highly interacting system to stabilize and control the MIMO system. It is still a very big issue to control nonlinear system. The proposed algorithm for tuning of PID constant is based on the new statistical approach combined with soft computing techniques. One of the optimization of statistical analysis is Taguchi method to combine with mutation based Particle Swarm Optimization hybrid algorithm to tune the PID parameters. These tuning parameters optimize the performance indices of the nonlinear system. The tuning parameters of controller find optimal performance indices. It is computer based nonlinear system for performance analysis and checks validation of proposed TMPSO algorithm. Laboratory experimental set up is established to communicate with MATLAB, LabVIEW and other controller platforms. Implementation is done using LabVIEW for proposed algorithm and output validates with four tank laboratory set-up for testing of performance indices. It checks the performance indices based on the PID parameter tuning with proposed TMPSO algorithm and improve the response of different performance indices for the experimental set up of quadruple tank nonlinear system newline newline
Pagination: 
URI: http://hdl.handle.net/10603/242652
Appears in Departments:Instrumentation & Control Engineering

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01_title.pdfAttached File92.83 kBAdobe PDFView/Open
02_certificate.pdf90.38 kBAdobe PDFView/Open
03_abstract.pdf114.31 kBAdobe PDFView/Open
04_declaration.pdf90.54 kBAdobe PDFView/Open
05_acknowledgement.pdf77.14 kBAdobe PDFView/Open
06_contents.pdf77.13 kBAdobe PDFView/Open
07_list_of_tables.pdf73.99 kBAdobe PDFView/Open
08_list_of_figures.pdf73.4 kBAdobe PDFView/Open
09_abbreviations.pdf73.38 kBAdobe PDFView/Open
10_chapter 1.pdf216.17 kBAdobe PDFView/Open
11_chapter 2.pdf178.49 kBAdobe PDFView/Open
12_chapter 3.pdf507.1 kBAdobe PDFView/Open
13_chapter 4.pdf730.49 kBAdobe PDFView/Open
14_chapter 5.pdf1.53 MBAdobe PDFView/Open
15_chapter 6.pdf1.14 MBAdobe PDFView/Open
16_chapter 7.pdf85.42 kBAdobe PDFView/Open
17_references.pdf163.74 kBAdobe PDFView/Open


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