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Parameter identification of the asynchronous machine substituting circuit
Otýpka, Jan ; Běloušek, Josef (referee) ; Patočka, Miroslav (advisor)
This work deals the precise identification of the substituting circuit parameters of the asynchronous machine for the gama-network, inverted Gama-network, T-network. I make use the best identification of the substituting circuit parameters of the asynchronous machine experimental method, theoretical procedurs and konstruction dates. In this work I solve various methods of identification and i compare solving like construction moment's characteristics from these establishen parametrs. Further I'm solving in my work comparations of two the costruction of them is similar with asyhronous mashins with power of 2,2kW , 2p = 2.
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Control Rotational Inverse Pendulum Laboratory Model
Šnajder, Jan ; Bastl, Michal (referee) ; Brablc, Martin (advisor)
Aim of this bachelor thesis is modeling, identification and control of rotational inverted pendulum. The thesis describes parts of real system and its control. The work also contains creation of simulation model in Matlab/Simulink. Simulation model is respresented by mathematical equations created by second type Lagrange equations. Estimation of parameters is based on reduced systems and these parameters have been validated. Control of system is based on state-space model. The paper includes description of linearization, design of state-space control created by LQR method and creation of state-space observer. The last part of the study is focused on state observer experiments, friction compensation by few static friction models and by adding noise to compensation.
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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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Identification of AC induction motor parameters
Křížek, Tomáš ; Václavek, Pavel (referee) ; Blaha, Petr (advisor)
This thesis describes and realizes (in program Matlab/Simulink and in the microcontroller Freescale 56F8346) one off-line identification method of AC Induction motor parameters which are necessary to implement the field-oriented control strategy. The identification metod identify leakage inductance, magnetizing inductance and secondary time constants. The presented method is evaluted, advantages and disadvantages of this method are evaluated with reference to their possible use in real-machine. The experimental results and schemes which are presented demonstrate the feasibility methods. The thesis is dividend in seven chapters. Second chapter describes the basic principle and model AC induction motor. Third chapter generally describes identification methods. Fourth, fifth and sixth chapters deal with method which is based on a previous work of the authors [4] and [5].
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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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Modelling, identification and control of rotary pendulum
Klusáček, Ondřej ; Ondrůšek, Čestmír (referee) ; Grepl, Robert (advisor)
The diploma thesis deals with control of rotary inverted pendulum - Furuta pendulum. Solution for power electronics, sensors and coupling with PC is described, identification of parameters and nonlinear simulation model in Matlab/Simulink and SimMechanics toolbox is presented. Second type Lagrange equation is used for determination of equations of motion. Controll system based on state-space model of mechanism and LQR algorithm for design of state-space controller is used and switching between swing-up cotroller a stabilizing state-space control is achieved according to actual angular position of pendulum's angle. Input integrator eliminating steady state error was used with success.
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Sensorless control of BLDC motor
Križan, Jakub ; Toman, Jiří (referee) ; Grepl, Robert (advisor)
This thesis is focused on problematics of control of brushless DC motor in the sensor and also in the sensorless mode. Also it interprets possibilities of BLDC motor control with one faulty sensor and derivation and simulation of mathematical model. First part mentions options of rotor position sensing as well as existing methods of sensorless BLDC motor control. Second part describes control algorithms of sensor and sensorless motor control realised on device dSPACE and also realisation of faulty sensor control algorithm. Third part deals with derivation of mathematical model, its realisation using Matlab Simulink software and identification of its parameters. Last part concludes results and compares control methods used on the real system.
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Fixed-wing UAV simulation modeling
Příleský, Libor ; Mašek, Petr (referee) ; Krejsa, Jiří (advisor)
Nowadays number of UAVs is still increasing. If we want to design their autopilot system, we need a simulation model to test and tune our autopilot design. This thesis is about creating such model fo small fixed wing UAV. This thesis contain information how to create the model, which equations to use and what various parameters mean. One of the possibilities is parameter identification from measured data. In later part of this paper is a small research of this topic and implementation of two of them. Virtual model, which is obtained at the end of this work, accomplished its primary goal and was used to initial autopilot design. Implemented identification methods worked as well, but we didn't succeed in upgrading the model parameters due to the defects during the data measurement.
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MATERIAL MODEL PARAMETER IDENTIFICATION OF STAINLESS STEEL (AISI 304L)
Jindra, D. ; Kala, Z. ; Seitl, Stanislav ; Kala, J.
Identification of Ramberg and Osgood nonlinear material model parameters for hot rolled stainless steel material grade 1.4307 (AISI 304L) was conducted. Reference data (stress-strain relation) were obtained from experimental program performed on normalized specimens. Parametrical numerical finite element model was created using commercially available software ANSYS classic APDL, and the subsequent optimization process was conducted in the environment of OptiSLang software.
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