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Title: | DESIGN OF CONTROLLERS FOR NONLINEAR DYNAMICAL SYSTEMS |
Authors: | B., SREEVIDYA |
Keywords: | PARTICLE SWARM OPTIMIZATION GENETIC ALGORITHM NONLINEAR DYNAMICAL SYSTEMS PID CONTROLLER |
Issue Date: | Nov-2016 |
Series/Report no.: | TD NO.1743; |
Abstract: | Practically almost all nonlinear dynamical systems are complex due to presence of unmodelled system dynamics and system parameters variations. Typically nonlinear dynamical system design is able to fulfill certain permissible performance level by adaptive control mechanism. However the adaptive control mechanism used for the control of nonlinear dynamical systems does not offer reasonable performance due to the ill-defined mathematical modelling. In this project work some benchmark nonlinear dynamical systems are being considered and their responses with conventional PID, Metaheuristic algorithms tuned linear and nonlinear PID controllers are being evaluated. The metaheuristic algorithm‘s efficacy are tested by using popular benchmark functions. |
URI: | http://dspace.dtu.ac.in:8080/jspui/handle/repository/15351 |
Appears in Collections: | M.E./M.Tech. Electrical Engineering |
Files in This Item:
File | Description | Size | Format | |
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REPORT11.pdf | 2.63 MB | Adobe PDF | View/Open |
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