Fuzzy Sliding Mode Control (FSMC) for electrohydraulic system
Electrohydraulic control system are widely use in industry due to continuous operation, higher speed of response with fast motion etc. However, there is a drawback that it is difficult to control because of the highly nonlinear and parameters uncertainties. In this project, a Fuzzy Sliding Mode Cont...
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my-utm-ep.267612017-08-15T00:14:41Z Fuzzy Sliding Mode Control (FSMC) for electrohydraulic system 2010 Mohamad Fauzi, Mohd. Shahidan TK Electrical engineering. Electronics Nuclear engineering Electrohydraulic control system are widely use in industry due to continuous operation, higher speed of response with fast motion etc. However, there is a drawback that it is difficult to control because of the highly nonlinear and parameters uncertainties. In this project, a Fuzzy Sliding Mode Control (FSMC) is design to control the system. First, the mathematical model of the electrohydraulic servo control system is developed. Then the mathematic model will be transformed into state space representation for the purposed of designing the controller. The system will be treated as an uncertain system with bounded uncertainties where the bounded are assumed known. The proposed controller will be designed based on deterministic approach, such that the overall system is practically stable and tracks the desired trajectory in spite the uncertainties and nonlinearities present in the system. The performance and reliability of the proposal controller will be determined by performing extensive simulation using MATLAB/SIMULINK. Lastly, the performance of the controller is to be compared with Sliding Mode Control (SMC). 2010 Thesis http://eprints.utm.my/id/eprint/26761/ http://libraryopac.utm.my/client/en_AU/main/search/results?qu=Fuzzy+Sliding+Mode+Control+%28FSMC%29+for+electrohydraulic+system&te= masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering |
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TK Electrical engineering Electronics Nuclear engineering |
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TK Electrical engineering Electronics Nuclear engineering Mohamad Fauzi, Mohd. Shahidan Fuzzy Sliding Mode Control (FSMC) for electrohydraulic system |
description |
Electrohydraulic control system are widely use in industry due to continuous operation, higher speed of response with fast motion etc. However, there is a drawback that it is difficult to control because of the highly nonlinear and parameters uncertainties. In this project, a Fuzzy Sliding Mode Control (FSMC) is design to control the system. First, the mathematical model of the electrohydraulic servo control system is developed. Then the mathematic model will be transformed into state space representation for the purposed of designing the controller. The system will be treated as an uncertain system with bounded uncertainties where the bounded are assumed known. The proposed controller will be designed based on deterministic approach, such that the overall system is practically stable and tracks the desired trajectory in spite the uncertainties and nonlinearities present in the system. The performance and reliability of the proposal controller will be determined by performing extensive simulation using MATLAB/SIMULINK. Lastly, the performance of the controller is to be compared with Sliding Mode Control (SMC). |
format |
Thesis |
qualification_level |
Master's degree |
author |
Mohamad Fauzi, Mohd. Shahidan |
author_facet |
Mohamad Fauzi, Mohd. Shahidan |
author_sort |
Mohamad Fauzi, Mohd. Shahidan |
title |
Fuzzy Sliding Mode Control (FSMC) for electrohydraulic system |
title_short |
Fuzzy Sliding Mode Control (FSMC) for electrohydraulic system |
title_full |
Fuzzy Sliding Mode Control (FSMC) for electrohydraulic system |
title_fullStr |
Fuzzy Sliding Mode Control (FSMC) for electrohydraulic system |
title_full_unstemmed |
Fuzzy Sliding Mode Control (FSMC) for electrohydraulic system |
title_sort |
fuzzy sliding mode control (fsmc) for electrohydraulic system |
granting_institution |
Universiti Teknologi Malaysia, Faculty of Electrical Engineering |
granting_department |
Faculty of Electrical Engineering |
publishDate |
2010 |
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1747815504458809344 |