Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/300636
Title: Tuning of multi objective robust pid controller using evolutionary computation techniques
Researcher: Muniraj R
Guide(s): Willjuice Iruthayarajan M
Keywords: Automatic Control
Tuning of Multi objective Robust Pid Controller Evolutionary Computation Techniques Automatic Control
Evolutionary Computation Techniques
University: Anna University
Completed Date: 2019
Abstract: Automatic control is widely found in variety of application areas including chemical aerospace and food processing industries Automatic control problem deals with the design of optimal controller for both off-line and on-line industrial applications by minimizing the cost function and other concerned objective functions while satisfying a given set of physical and operating constraints like robustness disturbance rejection etc PID control algorithms are used because of their simplicity clear functionality applicability and ease of use of the PID controllers PID tuning is the process of finding the values of proportional gain integral and derivative time constant of a PID controller to achieve the desired performance and meet the design requirements The objective function involves the tuning of design parameters of robust PID controller to meet out the desired performance specifications The performance specifications tuning of a robust PID controller are robustness with respect to model uncertainties and disturbance attenuation set point tracking load disturbance rejection and control energy These objective functions are treated as minimization functions newline
Pagination: xxi,143p.
URI: http://hdl.handle.net/10603/300636
Appears in Departments:Faculty of Electrical Engineering

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04_acknowledgements.pdf.pdf43.24 kBAdobe PDFView/Open
05_contents.pdf.pdf57.67 kBAdobe PDFView/Open
06_list_of_tables.pdf.pdf28.37 kBAdobe PDFView/Open
07_list_of_figures.pdf.pdf48.01 kBAdobe PDFView/Open
08_list_of_abbreviations.pdf.pdf30.96 kBAdobe PDFView/Open
09_chapter1.pdf.pdf281.74 kBAdobe PDFView/Open
10_chapter2.pdf.pdf356.87 kBAdobe PDFView/Open
11_chapter3.pdf.pdf323.93 kBAdobe PDFView/Open
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13_chapter5.pdf.pdf870.9 kBAdobe PDFView/Open
14_chapter6.pdf.pdf928.62 kBAdobe PDFView/Open
15_conclusion.pdf.pdf104.04 kBAdobe PDFView/Open
16_references.pdf.pdf100.27 kBAdobe PDFView/Open
17_list_of_publications.pdf.pdf53.37 kBAdobe PDFView/Open
80_recommendation.pdf65.89 kBAdobe PDFView/Open


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