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Using of Reinforcement Learning for Four Legged Robot Control
Ondroušek, Vít ; Maga,, Dušan (referee) ; Maňas, Pavel (referee) ; Singule, Vladislav (referee) ; Březina, Tomáš (advisor)
The Ph.D. thesis is focused on using the reinforcement learning for four legged robot control. The main aim is to create an adaptive control system of the walking robot, which will be able to plan the walking gait through Q-learning algorithm. This aim is achieved using the design of the complex three layered architecture, which is based on the DEDS paradigm. The small set of elementary reactive behaviors forms the basis of proposed solution. The set of composite control laws is designed using simultaneous activations of these behaviors. Both types of controllers are able to operate on the plain terrain as well as on the rugged one. The model of all possible behaviors, that can be achieved using activations of mentioned controllers, is designed using an appropriate discretization of the continuous state space. This model is used by the Q-learning algorithm for finding the optimal strategies of robot control. The capabilities of the control unit are shown on solving three complex tasks: rotation of the robot, walking of the robot in the straight line and the walking on the inclined plane. These tasks are solved using the spatial dynamic simulations of the four legged robot with three degrees of freedom on each leg. Resulting walking gaits are evaluated using the quantitative standardized indicators. The video files, which show acting of elementary and composite controllers as well as the resulting walking gaits of the robot, are integral part of this thesis.
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Magnetic Energy Harvesting Device for Low Excitation Vibration
Szabó, Hugo ; Singule, Vladislav (referee) ; Rubeš, Ondřej (advisor)
This bachelor theasis is focused on a concept of a magnetic energy harvesting device for low exitation frequencies. The device is made out of mechanical and electrical part where mechanical part is made out of two levitating magnets that repent each other and an electrical part is made out of magnetic circuit and a coil whose relative motion induces voltage in the coil. Mathematical model is made in Matlab, Simulink and FEMM. Construction model is made in Inventor.
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Implementation and analysis of control circuits in MATLAB/Simulink
Hanuš, Tomáš ; Houška, Pavel (referee) ; Singule, Vladislav (advisor)
The thesis is focused on comparing the characteristics of the most common types of controllers. This comparison is done in MATLAB / Simulink to model the DC motor. First, in the thesis, theoretical description of all structures controllers that are tested. This is specifically the PID controllers, PSD, PI-D, PS-D, S-PD, I-PD, PID filtering of derivative and PSD also with this filtration. Then there is the function given the DC motor and its mathematical description. In the last section of the theoretical part describes the different methods of setting regulators. In conclusion, this thesis compares the structure of individual regulators. There are the results. A comparison of their behavior with position control of DC motor.
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Classification of asynchronous motors
Čala, Václav ; Dušek, Jiří (referee) ; Singule, Vladislav (advisor)
This diploma thesis deals with a creation of a “Classification Document” of asynchronous motors with a short-circuit armature with axial heights of 355, 400, 450, 500, and 560 mm. Furthermore, it is concerned with a creation of an integral design documentation for the production and assembly of these motors at the company TES VSETÍN, s.r.o. By writing this diploma thesis I would like to achieve a simplification of communication with the customers during the processing of asynchronous motors orders and to speed up the processing of asynchronous motors orders not only in the design department but also the complete technologic preparation of the production which will surely be provided by this integrated documentation.
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OPTIMIZATION OF A FUZZY CONTROL DESIGN WITH RESPECT TO A PARALLEL MECHANISM WORKSPACE
Andrš, Ondřej ; Maga, Dušan (referee) ; Singule, Vladislav (referee) ; Březina, Tomáš (advisor)
The Ph.D. thesis is focused on using the fuzzy logic for control of a parallel manipulator based on a Stewart platform. The proposed mechanism makes possible to simulate the physiological movements of the human body and observe degradation processes of the cord implants. Parallel manipulators such as a Stewart platform represent a completely parallel kinematic mechanism that has major differences from typical serial link robots. However, they have some drawbacks of relatively small workspace and difficult forward kinematic problems. Generally, forward kinematic of a parallel manipulators is very complicated and difficult to solve. This thesis presents a simple and efficient approach to design simulation model of forward kinematic based on Takagi-Sugeno type fuzzy inference system. The control system of the parallel manipulator id based on state-space and fuzzy logic controllers. The proposed fuzzy controller uses a Sugeno type fuzzy inference system (FIS) which is derived from discrete position state-space controller with an input integrator. The controller design method is based on anfis (adaptive neuro-fuzzy inference system) training routine. It utilizes a combination of the least-squares method and the backpropagation gradient descent method for training FIS membership function parameters to emulate a given training data set. The proposed fuzzy logic controllers are used for the control of a linear actuator. The capabilities of the designed control system are shown on verification experiment.
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Positioning system for noise measuring microphones
Pulec, Václav ; Březina, Lukáš (referee) ; Singule, Vladislav (advisor)
The thesis deal with programing of algorithm for creating measuring box composed of measuring points. Coordinates of these points will be used for planing trajectory of the robot’s effector. It describes construction of structural model in Solid Works and calculate dynamic model by matrix formalism in MATLAB. In conslusion dynamic model of positioning system is used for the choice of appropriate motors.
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Design of linear external excitation drive with oscillative motion
Gärtner, Jan ; Kalous, Jaroslav (referee) ; Singule, Vladislav (advisor)
This thesis deals with design of linear external excitation drive with oscillative motion. In the first part of the work is shown describe types of linear motors. Further is a part of analysis of concrete linear drives from patents database. In the next part of this work is straight design of linear external excitation drive with oscillative motion. The conception in-clude geometric model created with software Solidworks, calculation of forces with software Ansys and dynamic models of mechanical and electrical part of drive with software Mat-lab/Simulink. And is a mentions possibility of controls of this drive too.
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Electrical Servo Drives for Critical Applications
Hubík, Vladimír ; Kurka, Otakar (referee) ; Ondrůšek, Čestmír (referee) ; Opluštil, Vladimír (referee) ; Singule, Vladislav (advisor)
The presented work deals with doctoral thesis named “Electrical drives for critical application”, which is solved in the Institute of Production Machines, Systems and Robotics. The paper tries to subsequently describe the progress during development of electric drive and to introduce the findings reached during project solving. The critical application requirements have been defined at the beginning, especially for the aerospace industry point of view. The work deals with the architecture of the control and power electronic, control software algorithms of the brush and brush-less BLDC motor with respect to the final certification aspects. It is also discussed the effectivness of the new development methods based on the modeling and simulation. The Model Based Design approach have been proved and verified during aircraft onboard equipment development. The findings of these are discussed at the end of this work.
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Optimization of the permanent magnet machine based on the artificial inteligence
Kurfűrst, Jiří ; Duroň,, Jiří (referee) ; Singule, Vladislav (referee) ; Ondrůšek, Čestmír (advisor)
The dissertation thesis deal with the design and the optimization of the permanent magnet synchronous machine (SMPM) based on the artificial intelligence. The main target is to apply potential optimization methods on the design procedure of the machine and evaluate the effectiveness of optimization and the optimization usefulness. In general, the optimization of the material properties (NdFeB or SmCo), the efficiency maximization with given nominal input parameters, the cogging torque elimination are proposed. Moreover, the magnet shape optimization, shape of the air gap and the shape of slots were also performed. The well known Genetic algorithm and Self-Organizing migrating algorithm produced in Czech were presented and applied on the particular optimization issues. The basic principles (iterations) and definitions (penalty function and cost function) of proposed algorithms are demonstrated on the examples. The results of the vibration generator optimization (VG) with given power 7mW (0.1g acceleration) and the results of the SMPM 1,1kW (6 krpm) optimization are practically evaluated in the collaboration with industry. Proposed methods are useful for the optimization of PM machines and they are further theoretically applied on the low speed machine (10 krpm) optimization and high speed machine (120 krpm) optimization.
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