Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/11453
Title: FUZZY PID CONTROLLER DESIGN USING GENETIC ALGORITHM
Authors: Gautam, Pankaj Kumar
Keywords: ELECTRICAL ENGINEERING
FUZZY PID CONTROLLER DESIGN
GENETIC ALGORITHM
PID CONTROLLER
Issue Date: 2010
Abstract: Convectional PID controllers have been developed and applied for about half of a century for many industrial applications. However, it has been known that conventional PU) controllers generally do not work well for nonlinear systems, higher order and time delayed linear systems, and particularly complex and vague systems that have no precise mathematical models. To overcome these difficulties various types of modified conventional PID controllers such as auto tuning and adaptive Fuzzy PID controllers were developed lately. The present work deals with first design of PID, self tuning Fuzzy PD (FPD) and Fuzzy PID (FPID) controller applied for a dc servomotor model and later optimal Fuzzy PID controller design has been theoretically studied and analyzed. Genetic Algorithms are used to tune the scaling factors of fuzzy PID controller parameters like GE, GD and GH. In this work IAE, ITAE and ISE are compared with that of conventional controllers. Simulation results are used to show that the proposed Fuzzy PID controller produces superior control performance than the conventional PID controllers, particularly in case of complex and nonlinear systems.
URI: http://hdl.handle.net/123456789/11453
Other Identifiers: M.Tech
Appears in Collections:MASTERS' DISSERTATIONS (Electrical Engg)

Files in This Item:
File Description SizeFormat 
EEDG20200.pdf5.93 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.