Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/649946
Title: Free chattering hybrid sliding mode control for a class of non-linear systems: electric vehicles as a case study
Authors: Mohammad Hassan Khooban;Taher Niknam;Frede Blaabjerg;Moslem Dehghani
subject: electric vehicles|modified backtracking search algorithm|closed-loop system|heuristic algorithm|optimal general type-2 fuzzy sliding mode|sliding mode controller|nonlinear systems
Year: 2016
Publisher: IEEE
Abstract: In current study, in order to find the control of general uncertain nonlinear systems, a new optimal hybrid control approach called Optimal General Type II Fuzzy Sliding Mode (OGT2FSM) is presented. In order to estimate unknown nonlinear activities in monitoring dynamic uncertainties, the benefits of general type-2 fuzzy logic systems (GT2FLS) is utilized by the suggested controller. The suggested controller not only warranties the constancy and hardiness against uncertainties of the lumped resulted by external disturbances and un-modeled dynamics, but also considerably decreases the control chattering inherent in traditional sliding mode control. Moreover, the Modified Backtracking Search Algorithm (MBSA), which is a new heuristic algorithm, is used in the offered controller. A comparison is performed between the results of current study and the results of some of the most recent studies on the same topic, which are an Adaptive Interval Type-2 Fuzzy Logic Controller (AGT2FLC) and Conventional Sliding Mode Controller (CSMC), to assess the efficiency of the suggested controller. The suggested control scheme is finally used to the Electric Vehicles type as a case study. Results of simulation confirm the good performance the suggested controller.
URI: http://localhost/handle/Hannan/134851
http://localhost/handle/Hannan/649946
ISSN: 1751-8822
1751-8830
volume: 10
issue: 7
Appears in Collections:2016

Files in This Item:
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Title: Free chattering hybrid sliding mode control for a class of non-linear systems: electric vehicles as a case study
Authors: Mohammad Hassan Khooban;Taher Niknam;Frede Blaabjerg;Moslem Dehghani
subject: electric vehicles|modified backtracking search algorithm|closed-loop system|heuristic algorithm|optimal general type-2 fuzzy sliding mode|sliding mode controller|nonlinear systems
Year: 2016
Publisher: IEEE
Abstract: In current study, in order to find the control of general uncertain nonlinear systems, a new optimal hybrid control approach called Optimal General Type II Fuzzy Sliding Mode (OGT2FSM) is presented. In order to estimate unknown nonlinear activities in monitoring dynamic uncertainties, the benefits of general type-2 fuzzy logic systems (GT2FLS) is utilized by the suggested controller. The suggested controller not only warranties the constancy and hardiness against uncertainties of the lumped resulted by external disturbances and un-modeled dynamics, but also considerably decreases the control chattering inherent in traditional sliding mode control. Moreover, the Modified Backtracking Search Algorithm (MBSA), which is a new heuristic algorithm, is used in the offered controller. A comparison is performed between the results of current study and the results of some of the most recent studies on the same topic, which are an Adaptive Interval Type-2 Fuzzy Logic Controller (AGT2FLC) and Conventional Sliding Mode Controller (CSMC), to assess the efficiency of the suggested controller. The suggested control scheme is finally used to the Electric Vehicles type as a case study. Results of simulation confirm the good performance the suggested controller.
URI: http://localhost/handle/Hannan/134851
http://localhost/handle/Hannan/649946
ISSN: 1751-8822
1751-8830
volume: 10
issue: 7
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7577955.pdf624.97 kBAdobe PDFThumbnail
Preview File
Title: Free chattering hybrid sliding mode control for a class of non-linear systems: electric vehicles as a case study
Authors: Mohammad Hassan Khooban;Taher Niknam;Frede Blaabjerg;Moslem Dehghani
subject: electric vehicles|modified backtracking search algorithm|closed-loop system|heuristic algorithm|optimal general type-2 fuzzy sliding mode|sliding mode controller|nonlinear systems
Year: 2016
Publisher: IEEE
Abstract: In current study, in order to find the control of general uncertain nonlinear systems, a new optimal hybrid control approach called Optimal General Type II Fuzzy Sliding Mode (OGT2FSM) is presented. In order to estimate unknown nonlinear activities in monitoring dynamic uncertainties, the benefits of general type-2 fuzzy logic systems (GT2FLS) is utilized by the suggested controller. The suggested controller not only warranties the constancy and hardiness against uncertainties of the lumped resulted by external disturbances and un-modeled dynamics, but also considerably decreases the control chattering inherent in traditional sliding mode control. Moreover, the Modified Backtracking Search Algorithm (MBSA), which is a new heuristic algorithm, is used in the offered controller. A comparison is performed between the results of current study and the results of some of the most recent studies on the same topic, which are an Adaptive Interval Type-2 Fuzzy Logic Controller (AGT2FLC) and Conventional Sliding Mode Controller (CSMC), to assess the efficiency of the suggested controller. The suggested control scheme is finally used to the Electric Vehicles type as a case study. Results of simulation confirm the good performance the suggested controller.
URI: http://localhost/handle/Hannan/134851
http://localhost/handle/Hannan/649946
ISSN: 1751-8822
1751-8830
volume: 10
issue: 7
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7577955.pdf624.97 kBAdobe PDFThumbnail
Preview File