Design of Combined Sliding Mode Controller Back Stepping Using Genetic Algorithm

This research has tried to achieve a new robust controller with back stepping control and sliding mode control method. Also as we know, in all analytical controllers there are constant coefficients like the back stepping and sliding mode controllers, redesigning the Lyapunov and the feedback lineari...

Full description

Bibliographic Details
Main Authors: Atefeh Marvi Moghadam, Saeed Balochian
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Journal of Engineering
Online Access:http://dx.doi.org/10.1155/2013/614803
id doaj-2f56c14e98c64bee88e285f387b616d7
record_format Article
spelling doaj-2f56c14e98c64bee88e285f387b616d72020-11-24T22:57:11ZengHindawi LimitedJournal of Engineering2314-49042314-49122013-01-01201310.1155/2013/614803614803Design of Combined Sliding Mode Controller Back Stepping Using Genetic AlgorithmAtefeh Marvi Moghadam0Saeed Balochian1Department of Electrical Engineering, Islamic Azad University, Gonabad Branch, Gonabad, IranDepartment of Electrical Engineering, Islamic Azad University, Gonabad Branch, Gonabad, IranThis research has tried to achieve a new robust controller with back stepping control and sliding mode control method. Also as we know, in all analytical controllers there are constant coefficients like the back stepping and sliding mode controllers, redesigning the Lyapunov and the feedback linearization, - and so forth. There are two major problems in their set: firstly, the adjustment is cumbersome and time-consuming. Secondly, assuming that these parameters can be adjusted to workability, a designer can never tell exactly what are the parameters chosen to be optimal. To resolve this problem, the numerical algorithm which is a genetic algorithm is used here and we have the optimal parameters of the proposed controller. That genetic algorithm (GA) has been used to solve difficult engineering problems that are complex and difficult to solve by conventional optimization methods, and at the end of this section, we apply a new robust controller on ball and beam system. Simulation results are expressed.http://dx.doi.org/10.1155/2013/614803
collection DOAJ
language English
format Article
sources DOAJ
author Atefeh Marvi Moghadam
Saeed Balochian
spellingShingle Atefeh Marvi Moghadam
Saeed Balochian
Design of Combined Sliding Mode Controller Back Stepping Using Genetic Algorithm
Journal of Engineering
author_facet Atefeh Marvi Moghadam
Saeed Balochian
author_sort Atefeh Marvi Moghadam
title Design of Combined Sliding Mode Controller Back Stepping Using Genetic Algorithm
title_short Design of Combined Sliding Mode Controller Back Stepping Using Genetic Algorithm
title_full Design of Combined Sliding Mode Controller Back Stepping Using Genetic Algorithm
title_fullStr Design of Combined Sliding Mode Controller Back Stepping Using Genetic Algorithm
title_full_unstemmed Design of Combined Sliding Mode Controller Back Stepping Using Genetic Algorithm
title_sort design of combined sliding mode controller back stepping using genetic algorithm
publisher Hindawi Limited
series Journal of Engineering
issn 2314-4904
2314-4912
publishDate 2013-01-01
description This research has tried to achieve a new robust controller with back stepping control and sliding mode control method. Also as we know, in all analytical controllers there are constant coefficients like the back stepping and sliding mode controllers, redesigning the Lyapunov and the feedback linearization, - and so forth. There are two major problems in their set: firstly, the adjustment is cumbersome and time-consuming. Secondly, assuming that these parameters can be adjusted to workability, a designer can never tell exactly what are the parameters chosen to be optimal. To resolve this problem, the numerical algorithm which is a genetic algorithm is used here and we have the optimal parameters of the proposed controller. That genetic algorithm (GA) has been used to solve difficult engineering problems that are complex and difficult to solve by conventional optimization methods, and at the end of this section, we apply a new robust controller on ball and beam system. Simulation results are expressed.
url http://dx.doi.org/10.1155/2013/614803
work_keys_str_mv AT atefehmarvimoghadam designofcombinedslidingmodecontrollerbacksteppingusinggeneticalgorithm
AT saeedbalochian designofcombinedslidingmodecontrollerbacksteppingusinggeneticalgorithm
_version_ 1725651452585574400