|
|
Electrical motors parameters identification using subspace based methods
Jenča, Pavol ; Veselý, Ivo (oponent) ; Blaha, Petr (vedoucí práce)
The electrical motors parameters identification is solved in this master’s thesis using subspace based methods. Electrical motors are simulated in Matlab/Simulink interactive environment, specifically permanent magnet DC motor and permanent magnet synchronous motor. Identification is developed in Matlab interactive environment. Different types of subspace algorithms are used for the estimation of parameters. Results of subspace parameters estimation are compared with least squares parameters estimation. The thesis describes subspace method, types of subspace algorithms, used electrical motors, nonlinear approach of identification and comparation of parameters identification.
|
|
|
The implementation of AC induction motor control algorithms in DSP 56F8xxx
Jenča, Pavol ; Veselý, Ivo (oponent) ; Blaha, Petr (vedoucí práce)
In this bachelor’s thesis a control algorithms for induction motors are solved using the methods PDSFC and DTC. Functional algorithms are developed in C and assembly language and are transferred from Simulink to a digital signal processor series 56F8xxx of Freescale corporation. The thesis describes induction motors, used control methods, control schemes developed in Simulink, control algorithms in C and assembly language for each block of created schemes and comparation of simulated solutions.
|
|
|
The implementation of AC induction motor control algorithms in DSP 56F8xxx
Jenča, Pavol ; Veselý, Ivo (oponent) ; Blaha, Petr (vedoucí práce)
In this bachelor’s thesis a control algorithms for induction motors are solved using the methods PDSFC and DTC. Functional algorithms are developed in C and assembly language and are transferred from Simulink to a digital signal processor series 56F8xxx of Freescale corporation. The thesis describes induction motors, used control methods, control schemes developed in Simulink, control algorithms in C and assembly language for each block of created schemes and comparation of simulated solutions.
|
|
|
Electrical motors parameters identification using subspace based methods
Jenča, Pavol ; Veselý, Ivo (oponent) ; Blaha, Petr (vedoucí práce)
The electrical motors parameters identification is solved in this master’s thesis using subspace based methods. Electrical motors are simulated in Matlab/Simulink interactive environment, specifically permanent magnet DC motor and permanent magnet synchronous motor. Identification is developed in Matlab interactive environment. Different types of subspace algorithms are used for the estimation of parameters. Results of subspace parameters estimation are compared with least squares parameters estimation. The thesis describes subspace method, types of subspace algorithms, used electrical motors, nonlinear approach of identification and comparation of parameters identification.
|
host ::
RSS.