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Condition monitoring of mechatronic systems
Horňan, Bohdan ; Buchta, Luděk (oponent) ; Blaha, Petr (vedoucí práce)
This thesis is concerned with condition monitoring and quantitative analysis of synchronous motors. Constantly rising requirements on the reliability of motors develop new methods of predictive diagnostics, which can identify failure conditions in the initial stage. Created mechatronic systems with the implemented failure from pre-prepared PMSM model are tested by unconventional condition monitoring methods. Software solutions of diagnostics and model designs of the mechatronic systems are implemented in MATLAB & Simulink. Part of this work is also a short introduction to the issue with necessary theoretical fundamentals and research of some selected methods of predictive diagnostics.
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Adaptive controller with continuous system identification
Horňan, Bohdan ; Švarc, Ivan (oponent) ; Lang, Stanislav (vedoucí práce)
This bachelor thesis is focused on the issue of adaptive controllers. It is divided into two parts: theoretical and practical. The theoretical part deals with identification methods of dynamic systems and methods of optimizing parameters of controllers. In the practical part is designed an adaptive self-tuning controller that is able to adapt to changes of parameters of the plant. The recursive least square method is used to determine a transfer function of the plant. Software solution of the adaptive controller is implemented in Matlab & Simulink.
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Condition monitoring of mechatronic systems
Horňan, Bohdan ; Buchta, Luděk (oponent) ; Blaha, Petr (vedoucí práce)
This thesis is concerned with condition monitoring and quantitative analysis of synchronous motors. Constantly rising requirements on the reliability of motors develop new methods of predictive diagnostics, which can identify failure conditions in the initial stage. Created mechatronic systems with the implemented failure from pre-prepared PMSM model are tested by unconventional condition monitoring methods. Software solutions of diagnostics and model designs of the mechatronic systems are implemented in MATLAB & Simulink. Part of this work is also a short introduction to the issue with necessary theoretical fundamentals and research of some selected methods of predictive diagnostics.
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Adaptive controller with continuous system identification
Horňan, Bohdan ; Švarc, Ivan (oponent) ; Lang, Stanislav (vedoucí práce)
This bachelor thesis is focused on the issue of adaptive controllers. It is divided into two parts: theoretical and practical. The theoretical part deals with identification methods of dynamic systems and methods of optimizing parameters of controllers. In the practical part is designed an adaptive self-tuning controller that is able to adapt to changes of parameters of the plant. The recursive least square method is used to determine a transfer function of the plant. Software solution of the adaptive controller is implemented in Matlab & Simulink.
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