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Supporting algorithms for electrical motor control
Řezáč, Martin ; Buchta, Luděk (referee) ; Blaha, Petr (advisor)
This thesis is focused on a creating supporting drivers and algorithms for electrical motor control using CPU TriCore TC275 CA. The first part is devoted to processor description and selected peripherals, which are A/D converter, a timer for creating the PWM signals and the second timer for processing singnals from encoder. All drivers are tested on an aplication kit, which is equipped with TC275 CA processor. The second part analyzes the measurement quality of GMR sensor TLE5009. Special testbench was prepared for sin cos data capturing and for their comparison with precise encoder position measurement. It was composed from DC motor having both sensor types on commons shaft. Data are acquired using LabView. Subsequently, it analyzes the sensor data, their compensation and subsequent comparison with measured data from the encoder.
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Spectral method for motor parameters identification
Sedláček, Filip ; Buchta, Luděk (referee) ; Pohl, Lukáš (advisor)
This project deals with the problem of spectral method for system identification. Introductory part acquaints reader with basic concept of identification and explains its application in practice. It describes and mathematically derives two non-parametric methods for identification – correlation method and spectral analysis. The main aim of this final project is testing and implementation of spectral analysis in system parameters identification, which is specifically described in remaining sections of this project. These sections discuss a fundamental rules, procedures and principles in order to prepare a reader as much as possible for its final application in REAL-TIME system identification.
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BLDC drive control
Havlíček, Jiří ; Buchta, Luděk (referee) ; Otava, Lukáš (advisor)
The bachelor thesis is focused on problems of sensor control of Brushless DC Electric motor (BLDC) using hall-effect sensors. The BLDC motor is connected to 3-Phase low-voltage board which was produced by Freescale Semiconductor, Inc. The board is adapted to control electrical motors by MC56F8006 signal microcontroller. The next part is devoted to implementation of interconnection of the machine with the Matlab/Simulink programme using the MF 624 multifunction I/O card. Cascaded control, current and speed loops are used for the final configuration. The former loop is realized in the signal microcontroller, the latter one in the Simulink programme.
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Compensation of Nonlinearities in AC Motor Control Algorithms
Buchta, Luděk ; Kuchař,, Martin (referee) ; Glasberger,, Tomáš (referee) ; Blaha, Petr (advisor)
Analysis of the dead-time effect and other nonlinearities of the voltage source inverter was carried out in the introduction of the doctoral thesis. Three compensation strategies for vector controlled PMSM were proposed based on the analysis. The voltage disturbance observer with cost function of current errors is based on the model of PMSM, known machine parameters and easily measurable quantities. The second observer which estimates the dq- axes currents and the value of the voltage error with one parameter only is designed based on the harmonic analysis and Kalman filter algorithm. The third method combines an adaptive approach with feedback and voltage disturbance observer that is based on the PMSM model. Furthermore, the two compensation methods for vector controlled induction motor were proposed. In the first case, the standard compensation strategy is extended by a harmonic compensator that suppresses the residual 6th harmonic component in dq- axes currents. The last strategy detects the polarity of the estimated phase currents that are obtained by the Kalman filter. All compensation strategies have been verified by MATLAB/Simulink simulations and by experiments on real drives.
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Frequency method for motor parameters identification
Zimmert, Martin ; Buchta, Luděk (referee) ; Pohl, Lukáš (advisor)
This bachelor´s thesis deals with improved frequency method for motor parameters Identification. The goal of this thesis is to get an overview about identification method and simulate it on motor model in the Simulink and then to verify functionality of the method on the real motor. Firstly there are informations about a motor with permanent magnets and its control. Then there is an application of identification method for complete motor model. In the next part is measurement of the real motor. In the end is design of controller and discrete filter of identification signal.
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Neural networks on AURIX platform
Smrčka, Michal ; Buchta, Luděk (referee) ; Blaha, Petr (advisor)
Part of this thesis discusses FNNs and how to develop them using MATLAB Deep Learning Toolbox and Keras API in Python. Subsequently, the thesis deals with the conversion of these networks into C/C++ using the Keras2c, AIfES, TFLM and NNoM libraries. This theoretical background was essential for the follow-up section, which focuses on the implementation and testing of the trained FNN on the AURIX TC397 3.3V Application Kit platform. This FNN is used to diagnose the PMS motor in order to detect inter turn faults. The configuration of the GPT12 and GETH peripherals of the AURIX TC397 microcontroller, which were used in the FNN testing application, is described in detail in this thesis. Using the Keras2c library, the possibility of running inference on 2 cores of the AURIX microcontroller was verified and quantization of the trained FNN was performed within the NNoM library. Finally, a comparison of the Keras2c, AIfES, TFLM and NNoM libraries was performed in terms of ease of implementation, classification accuracy and classification speed on the AURIX platform.
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Condition monitoring of mechatronic systems
Horňan, Bohdan ; Buchta, Luděk (referee) ; Blaha, Petr (advisor)
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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Performance, robustness and implementation of controllers
Buchta, Luděk ; Michal, Mrázek (referee) ; Pivoňka, Petr (advisor)
This master‘s thesis deals with the design of modern process control algorithms suitable for SISO industrial control equipments. In this thesis the analysis of the controller design methodology using Mixed-sensitivity function is described. This method consists in shaping frequency characteristics of the sensitivity function and complementary sensitivity fiction using the weighting functions. The proposed H controllers are compared with the classical structure of a discrete PID controller with filtered derivative part. The proposed controllers are compared in terms of robustness, performance, complexity of the design and requirements necessary for their practical application (anti-windup, smooth switchover). Robustness of the controller is evaluated on the basis of modulus stability margin. Estimation of model´s parameters is solved least-square method. The proposed control system consists of an industrial PC and Automation Panel from the company B&R, decentralized system I/O and the real plant. Visualization for control workplace was created in the program Automation studio. This visualization is used to the easy transfer of information from a controlled process.
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Control and visualization of techlologic process via IPC
Buchta, Luděk ; Libor, Matys (referee) ; Dvořáček, Martin (advisor)
The aim of this bachelor’s thesis was to acquaint with techniques and technologies used in the control and visualization of technologic processes. The industrial PC, PLC and Automation Panels from the company B&R was used on control of the technologic process in laboratory E541. Designed and implemented control algorithm contains three discrete controllers. The standard OPC is used for communication. Visualization for control workplace is created in the Program Control Web. Visualizations for operator workstations are created in the program Automation Studio. These visualizations are used to transfer information from the technological process.
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