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Permanent Magnet Synchronous Machine Sensorless Control Algorithms
Veselý, Libor ; Prokop, Roman (referee) ; Melichar,, Jiří (referee) ; Václavek, Pavel (advisor)
Algorithms of sensorless control of surface permanent magnet synchronous motors are discussed in the dissertation thesis. A method for position and speed estimation in high-speed region based on model reference adaptive system is described. Furthermore, classical approach using Kalman filtering was verified. Kalman filter expected the rotor speed to be constant as a modification of model using variable speed approach. These algorithms are not able to work at low speed region, thus a new method was proposed. This method is designed on extended Kalman filtering and uses the model which describes the stator inductance changes in - coordinates. At motor start, knowledge of initial rotor setup is required. The algorithm for initial rotor angle using high frequencies injected into the motor was proposed.
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Parameter Identification of Permanent Magnet Synchronous Motor
Veselý, Ivo ; Bobál, Vladimír (referee) ; Janeček, Eduard (referee) ; Blaha, Petr (advisor)
The purpose of this dissertation is to design identification methods for identifying a permanent magnet synchronous motor. The whole identification and motor control is carried out in d-q coordinates, and the program used for processing and control was the matlab simulink, together with the real time platform DSpace. The work focuses on two main areas of identification, off-line identification and on-line identification. For offline identification the frequency analysis was used with the lock rotor test to get three main parameters. They are the quadrature and direct inductances and stator resistance. In the online mode, the identified parameters were extended to magnet flux _f identified by MRAS method. The remaining parameters were again identified by frequency analysis, which was adapted into online mode, and simultaneously applied to the identification of several part in one time. The next method is Newton method, which is used for estimating stator resistance of the motor, without the need to apply any signal.
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PMSM Drive Sensorless Control
Graf, Miroslav ; Blaha, Petr (referee) ; Václavek, Pavel (advisor)
Bachelor's thesis "PMSM Drive Sensorless Control" concerns about stage reconstructors by PMSM drive control. It describes Model Reference Adaptive System and Kalman filter. Both stage reconstructor are practically implemented at microprocessor and using the method "target in the loop" the functionality of both reconstructors is verified.
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Permanent Magnet Synchronous Motor Parameters Identification
Dušek, Martin ; Veselý, Ivo (referee) ; Blaha, Petr (advisor)
This work deals with the on-line identification of permanent magnet synchronous motor parameters. There is discussed the use of four different identification algorithms based on the least squares method and MRAS. The functionality of the algorithms is verified in Matlab - Simulink environment. Simulation results are compared in terms of rate and accuracy of identification, resistance to noise and other factors.
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Synchronous Machine Sensorless Control
Mališ, Martin ; Veselý, Libor (referee) ; Václavek, Pavel (advisor)
The goal of this thesis is to deal with comparison of algorithms in the field of sensorless control of permanent magnet synchronous motor. It is focused mainly on deterministic methods of estimation, verification of their dynamic responses and the influence of parasitic effects. Implementation of selected algortihms on DSP in fractional arithmetic with verification by Processor-in-the-loop method is described in second part. The last part describes use of algorithms on real drive.
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Parameter Identification of Permanent Magnet Synchronous Motor
Veselý, Ivo ; Bobál, Vladimír (referee) ; Janeček, Eduard (referee) ; Blaha, Petr (advisor)
The purpose of this dissertation is to design identification methods for identifying a permanent magnet synchronous motor. The whole identification and motor control is carried out in d-q coordinates, and the program used for processing and control was the matlab simulink, together with the real time platform DSpace. The work focuses on two main areas of identification, off-line identification and on-line identification. For offline identification the frequency analysis was used with the lock rotor test to get three main parameters. They are the quadrature and direct inductances and stator resistance. In the online mode, the identified parameters were extended to magnet flux _f identified by MRAS method. The remaining parameters were again identified by frequency analysis, which was adapted into online mode, and simultaneously applied to the identification of several part in one time. The next method is Newton method, which is used for estimating stator resistance of the motor, without the need to apply any signal.
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Permanent Magnet Synchronous Machine Sensorless Control Algorithms
Veselý, Libor ; Prokop, Roman (referee) ; Melichar,, Jiří (referee) ; Václavek, Pavel (advisor)
Algorithms of sensorless control of surface permanent magnet synchronous motors are discussed in the dissertation thesis. A method for position and speed estimation in high-speed region based on model reference adaptive system is described. Furthermore, classical approach using Kalman filtering was verified. Kalman filter expected the rotor speed to be constant as a modification of model using variable speed approach. These algorithms are not able to work at low speed region, thus a new method was proposed. This method is designed on extended Kalman filtering and uses the model which describes the stator inductance changes in - coordinates. At motor start, knowledge of initial rotor setup is required. The algorithm for initial rotor angle using high frequencies injected into the motor was proposed.
|
|
|
PMSM Drive Sensorless Control
Graf, Miroslav ; Blaha, Petr (referee) ; Václavek, Pavel (advisor)
Bachelor's thesis "PMSM Drive Sensorless Control" concerns about stage reconstructors by PMSM drive control. It describes Model Reference Adaptive System and Kalman filter. Both stage reconstructor are practically implemented at microprocessor and using the method "target in the loop" the functionality of both reconstructors is verified.
|
|
|
Synchronous Machine Sensorless Control
Mališ, Martin ; Veselý, Libor (referee) ; Václavek, Pavel (advisor)
The goal of this thesis is to deal with comparison of algorithms in the field of sensorless control of permanent magnet synchronous motor. It is focused mainly on deterministic methods of estimation, verification of their dynamic responses and the influence of parasitic effects. Implementation of selected algortihms on DSP in fractional arithmetic with verification by Processor-in-the-loop method is described in second part. The last part describes use of algorithms on real drive.
|
|
|
Permanent Magnet Synchronous Motor Parameters Identification
Dušek, Martin ; Veselý, Ivo (referee) ; Blaha, Petr (advisor)
This work deals with the on-line identification of permanent magnet synchronous motor parameters. There is discussed the use of four different identification algorithms based on the least squares method and MRAS. The functionality of the algorithms is verified in Matlab - Simulink environment. Simulation results are compared in terms of rate and accuracy of identification, resistance to noise and other factors.
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