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Adaptive controllers with principles of artificial intelligence and its comparison with classical identifications methods
Vaňková, Tereza ; Dokoupil, Jakub (referee) ; Pivoňka, Petr (advisor)
Master’s thesis is focused on the adaptive controllers. The first theoretic part mainly describes the parametric identification, which belongs to the most important part of the adaptive controller’s structure. Classical identification methods (the recursive least squares methods) are firstly mentioned and afterwards the identification methods based on the neural network (the Marquardt-Levenberg algorithm and the new identification algorithm NIA inspired by the neural networks) are described. At the conclusion of the theoretic part there are mentioned the algorithm of the adaptive controller’s tuning which uses the identification parameters (the modified Z-N method) and the tested types of adaptive controllers. Particular results, which were found out by verifying of the adaptive controllers on the simulation and real models, are contained in second, the practical, part of the thesis. Finally, achieved results are compared with the classical discrete PID controller and with the adaptive controller of the B&R company.
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Comparative study of discrete PSD controllers
Vaňková, Tereza ; Dvořáček, Martin (referee) ; Pivoňka, Petr (advisor)
Bachelor’s thesis is focused on a verification of heterogeneous structures of discrete PSD controller depending on different process structures. The first theoretic part describes a continuous action controller, a transformation from the continuous to the discrete control and a discrete control loop (with issues like a sampling, a quantization, a signal shaping). Further there are described the concrete structures of the discrete PSD controllers – from the classical PSD controller over the variations with filtration in a derivative part to the structures with an elimination of the oscillation and the first overshoot. There are also mentioned two methods of controller parameters´ setting– second Z-N method (based on finding out critical parameters of the system) and a balanced setting of controllers. Second, practical, part of thesis contains particular results, which were found out by measuring on the simulation and real models. Finally achieved results are compared with an adaptive controller of B&R company.
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Segway driver parameter estimation and its use for optimizing the control algorithm
Dobossy, Barnabás ; Zouhar, František (referee) ; Brablc, Martin (advisor)
Táto práca sa zaoberá vývojom, testovaním a implementáciou adaptívneho riadiaceho systému pre dvojkolesové samobalancujúce vozidlo. Adaptácia parametrov vozidla sa uskutoční na základe parametrov vodiča. Parametre sústavy sa nemerajú priamo, ale sú odhadované na základe priebehu stavových premenných a odozvy sústavy. Medzi odhadované parametre patrí hmotnosť a poloha ťažiska vodiča. Cieľom práce je zabezpečiť adaptáciu jazdných vlastností vozidla k rôznym vodičom s rôznou hmotnosťou, kvôli zlepšeniu stability vozidla. Táto práca je pokračovaním predchádzajúcich projektov z roku 2011 a 2015.
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Industrial PID controller with autotuning and visualisation
Vávra, Pavel ; Dvořáček, Martin (referee) ; Pivoňka, Petr (advisor)
This thesis deals with implementation of industrial used controlling block into Power Panel equipment of B&R in integrated development environment Automation Studio 3.0.71. It is PID controller with autotuner and visualization, which allowed bumpless transfer among controlling algorithms and manual control. PID and I-PD controllers with filtering of derivative action and dynamic antiwindup were implemented. Parameters of PID controller is possible to tune with the aid of ultimate gain and ultimate period according rules of Ziegler-Nichols. Ultimate parameters of controlled plant is possible to acquire with the aid of two identification methods, recursive least squares method and relay feedback. Recursive least squares method was implemented with directional forgetting. For relay feedback were used two types of relays: ideal and saturation relay for improving accuracy of searched ultimate values. The whole solution is programmed in ANSI C which Automation Studio supports. Created controller is control with the aid of touchscreen which is integrated in Power Panel. Trends of process values are viewed on the screen too. For comparison adaptive controller by B&R was implemented. This contoller is standardly supplied with Automation Studio in LoopConR library. All created algorithms were first validated on mathematical model of plant and then on real model in laboratory. The first part of thesis deals with theoretic analysis of used methods. The practical realization is described in the second part of this diploma thesis.
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Adaptive controllers for systems with time delay and its comparison with classical controllers.
Faltus, Ivo ; Burlak, Vladimír (referee) ; Pivoňka, Petr (advisor)
Master thesis is focused on the philosophy of design adaptive controller. In the theoretic part are described parts of the adaptive controller, which belongs parts as online identification by recursive least-squares method and PSD controller, which can set its parameters according to identified system (use Z-N method). The part of control system with transport delay is situated at the conclusion of the theoretic part, there are focused on Smith predictor. Practical part is focused on verification of all algorithms, which was performed on models and real systems.
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Adaptive Control of a DC Drive
Krkoška, Roman ; Huták, Petr (referee) ; Skalický, Jiří (advisor)
The master’s thesis deals with method of adaptive control of electrical drives. It aims at control of DC motor with using self tunning controller (STC) and gain-schedulink in simulative enviroment of MATLAB. The first part of the thesis deals with of basic methods adaptive control of electrical drives and with of basic identification methods, computation of controller parameters and control laws of controllers. The second part of the thesis is aimed at applying adaptive controllers to mathematical model of controlled system. Include monitoring parameters of identification The thesis contains originate programs include source files.
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Adaptive controller with continuous system identification
Horňan, Bohdan ; Švarc, Ivan (referee) ; Lang, Stanislav (advisor)
This bachelor thesis is focused on the issue of adaptive controllers. It is divided into two parts: theoretical and practical. The theoretical part deals with identification methods of dynamic systems and methods of optimizing parameters of controllers. In the practical part is designed an adaptive self-tuning controller that is able to adapt to changes of parameters of the plant. The recursive least square method is used to determine a transfer function of the plant. Software solution of the adaptive controller is implemented in Matlab & Simulink.
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Comparative study of discrete PSD controllers
Pelikán, Leoš ; Dvořáček, Martin (referee) ; Pivoňka, Petr (advisor)
This bachelor thesis deals with verification of heterogeneous structures of discrete PSD controllers on different process structures. Description of controlling system and various structures of PSD regulators is in theoretic part. The practical part of thesis describes progress testing, particular results and compare with adaptive an adaptive controller of B&R company.
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