Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks
A Master of Science thesis in Electrical Engineering by Sarah Hussain Zahidi entitled, "Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks," submitted in January 2013. Thesis advisor is Dr. Rached Dhaouadi. Available are both soft and hard copi...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | doctoralThesis |
| منشور في: |
2013
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/11073/4818 |
| الوسوم: |
إضافة وسم
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| _version_ | 1864513434434928640 |
|---|---|
| author | Zahidi, Sarah Hussain |
| author_facet | Zahidi, Sarah Hussain |
| author_role | author |
| dc.contributor.none.fl_str_mv | Dhaouadi, Rached |
| dc.creator.none.fl_str_mv | Zahidi, Sarah Hussain |
| dc.date.none.fl_str_mv | 2013-02-10T06:43:32Z 2013-02-10T06:43:32Z 2013-01 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | 35.232-2013.04 http://hdl.handle.net/11073/4818 |
| dc.language.none.fl_str_mv | en_US |
| dc.subject.none.fl_str_mv | recurrent wavelet networks DC motor parameter identification friction identification adaptive learning rates System analysis Nonlinear control theory Dynamics |
| dc.title.none.fl_str_mv | Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/doctoralThesis |
| description | A Master of Science thesis in Electrical Engineering by Sarah Hussain Zahidi entitled, "Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks," submitted in January 2013. Thesis advisor is Dr. Rached Dhaouadi. Available are both soft and hard copies of the thesis. |
| format | doctoralThesis |
| id | aus_9f9595a920db75844ed01170b169c975 |
| identifier_str_mv | 35.232-2013.04 |
| language_invalid_str_mv | en_US |
| network_acronym_str | aus |
| network_name_str | aus |
| oai_identifier_str | oai:repository.aus.edu:11073/4818 |
| publishDate | 2013 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet NetworksZahidi, Sarah Hussainrecurrent wavelet networksDC motor parameter identificationfriction identificationadaptive learning ratesSystem analysisNonlinear control theoryDynamicsA Master of Science thesis in Electrical Engineering by Sarah Hussain Zahidi entitled, "Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks," submitted in January 2013. Thesis advisor is Dr. Rached Dhaouadi. Available are both soft and hard copies of the thesis.The main objective of this research is to study the use of Recurrent Wavelet Networks (RWN) for the modelling and identification of nonlinear dynamic systems. Since the vast majority of physical processes and systems exhibit nonlinearities in their behavior, mathematical models may be difficult to obtain as processes may be affected by external operating conditions and a number of parameters may not be identified. Electromechanical systems are an example of nonlinear systems where parameters such as viscous and coulomb friction, and distributed inertias are often unknown. In such cases, a model is required that will capture the nonlinearities and the dynamics of the system. In this thesis, an online identification method is developed using structured Recurrent Wavelet Networks (RWN) in order to simultaneously identify linear and nonlinear mechanical parameters of an electromechanical system. Network learning is implemented using the gradient descent algorithm. Stability analysis is carried out based on the minimization of a Lyapunov function in order to obtain Adaptive Learning Rates (ALR) for training the network. Simulations are carried out to validate the performance of the proposed adaptive learning rate based modeling and identification technique. Search Terms: Wavelet Networks, Recurrent Wavelet Networks, DC Motor Parameter Identification, Friction Identification, Adaptive Learning RatesCollege of EngineeringDepartment of Electrical EngineeringMaster of Science in Electrical Engineering (MSEE)Dhaouadi, Rached2013-02-10T06:43:32Z2013-02-10T06:43:32Z2013-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2013.04http://hdl.handle.net/11073/4818en_USoai:repository.aus.edu:11073/48182025-06-26T12:31:05Z |
| spellingShingle | Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks Zahidi, Sarah Hussain recurrent wavelet networks DC motor parameter identification friction identification adaptive learning rates System analysis Nonlinear control theory Dynamics |
| status_str | publishedVersion |
| title | Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks |
| title_full | Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks |
| title_fullStr | Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks |
| title_full_unstemmed | Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks |
| title_short | Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks |
| title_sort | Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks |
| topic | recurrent wavelet networks DC motor parameter identification friction identification adaptive learning rates System analysis Nonlinear control theory Dynamics |
| url | http://hdl.handle.net/11073/4818 |