Tips and Tricks for Programming in Matlab

Matlab is the software developed by the MathWorks, Inc., Natick, USA. In 1984, the first version appeared. Software was primarily used only for the mathematical computation enabling the computation of complicated matrix equations and their systems. All major functions can directly use the matrix as the input. From that year, the software is still under development enlarging the area of the users every year. Matlab became the standard in the area of simulation and modeling. Simulink is the important Matlab enlargement which simplifies the computation very much. Matlab is used not only at universities but also in practice, for instance by NASA or General Motors. Most Matlab users are from the major world countries, such as USA, Japan, China and India. This chapter provides some chosen tips and tricks to the beginners in Matlab programming and should ease the first steps in programming. These tips and tricks are based on the experience of chapter author with teaching Matlab programming in the undergraduaZ(MSM7088352102

A Survey of Decentralized Adaptive Control

Systems with multi inputs and multi outputs are in common controlled by centralized controllers, multivariable controllers or by a set of single input and single output controllers. The decentralized systems dominated in industry and can be found in a broad spectrum of applications ranging from robotics to civil engineering. Approaches to decentralized control design differ from each other in the assumptions ? kind of interaction, the model of the system, the model of information exchange and the control design. One of the useful approaches to decentralized control problems was the parametrization. During last years it was proven that it seems to be perspective to combine predictive and decentralized control, for example unconstrained decentralized model predictive control or adaptive decentralized control using recurrent fuzzy neural networks. Another task is to use automatic decentralized control structure selection. Adaptive control enlarges the area of usage at decentralized controllers. AdaptiveZ(MSM7088352101

Electronic didactic tool for primary schools in Czech Republic

The purpose of the paper was to create some electronic education tool for the elementary school in the Czech Republic and to implement it there. Through multimedia courses the graphics programs Zoner Callisto, Gimp and Picasa were presented to pupils. Created multimedia courses lead students to learn the basics of graphics programs. Courses that make up the lesson can be used as a standalone didactic tool, or as part of the teaching process in the primary schools. The theoretical part is focused on the basic concepts that affect teaching AIDS and virtual learning environments. In the practical part, the own tool for the given programs is presented. It is concluded with the evaluation of the quantitative research of the created didactic tool

Comparison of Two Approaches to Count Derivations for Continuous-Time Adaptive Control

The control of continuous-time systems can be realized by adaptive controllers. Self-tuning controllers are adaptive controllers which call on-line identification and controllers parameters tuning in one step of computation. Supervision enlarges the area of usage of controllers. It is necessary to count derivations of action and output signals during control, which is usually realized by filters. Settings of filters are directly connected with the model of the system. Another approach allows us to use the regression polynomials instead of filters, because the general form of derivations is known before the control. Without filters, this approach keeps the signal unchanged, but the choice of inappropriate length of time interval for polynomial regression increases the amplitude of noise. The chapter shows two examples of control and suggests the appropriate length of time interval for polynomial regression.

New electronic didactic tool for nonlinear systems laboratory

The paper presents new electronic didactic tool that was created for the laboratory where nonlinear systems are taught and practiced by simulations. The tool in the laboratory works with several control strategies and models of nonlinear systems including Hammerstein and Wiener models and it was created in MATLAB and SIMULINK environment. Students had worked with it during last semester and positively evaluated it which is summarized at the end of the paper

Acquiring electric energy from the transport conveyor roller movement for distributed sensors network

The paper presents the concept of installation of an electricity generator and en energy store inside a roller of belt or roller conveyor. Accordingly, the use of a generator-pulley does not require any structural changes to be made to an existing conveyor. In addition, the user will be able to power distributed sensors network for monitoring the operation of the belt conveyor anywhere on its route. © 2020 Krzysztof Mazurek et al., published by Sciendo.European Regional Development Fund under the project CEBIA-Tech [CZ.1.05/2.1.00/03.0089

Shield Support Monitoring System - operation during the support setting

The paper presents the results of testing the geometry measurement system of powered roof support using inclinometers that meet the requirements of the ATEX directive. Mechanized longwall system is most often used for coal mining. The longwall system includes basic machines, such as a longwall shearer, AFC and powered roof support that protects the roof. The powered roof support consists of the units that are hydraulically or electro-hydraulically controlled and are equipped with pressure sensors in the selected places of the hydraulic system and displacement sensors for selected actuators. One of the challenges associated with controlling and monitoring the parameters of the powered roof support is the mapping of its geometry and arrangement of individual components. KOMAG Institute of Mining Technology designed and manufactured the geometry monitoring system based on inclinometers that meet the requirements of the ATEX Directive. The system was tested on a real object in the laboratory. Impact of the structure of the powered roof support on the accuracy of geometry measurement and mapping was determined based on the test results. The results of the tests will be used during the implementation of the system in real conditions.EU Research Fund for Coal and Steel (RFCS) [752504]; Ministry of Science and Higher EducationMinistry of Science and Higher Education, Polan

Methods of pre-identification of TITO systems

The content of this article is the presentation of methods used to identify systems before actual control, namely decentralized control of systems with Two Inputs, Two Outputs (TITO) and with two interactions. First, theoretical assumptions and reasons for using these methods are given. Subsequently, two methods for systems identification are described. At the end of this article, these specific methods are presented as the pre-identification of the chosen example. The Introduction part of the paper deals with the description of decentralized control, adaptive control, decentralized control in robotics and problem formulation (fixing the identification time at the existing decentralized self-tuning controller at the beginning of control and at the beginning of any set-point change) with the goal of a new method of identification. The Materials and methods section describes the used decentralized control method, recursive identification using approximation polynomials and least-squares with directional forgetting, recursive instrumental variable, self-tuning controller and suboptimal quadratic tracking controller, so all methods described in the section are those ones that already exist. Another section, named Assumptions, newly formulates the necessary background information, such as decentralized controllability and the system model, for the new identification method formulated in Pre-identification section. This section is followed by a section showing the results obtained by simulations and in real-time on a Coupled Drives model in the laboratory. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.European Regional Development Fund under the project CEBIA-Tech [CZ.1.05/2.1.00/03.0089]; Ministry of Education, Science, research and Sport of the Slovak Republic [1247/2018]Ministerstvo školstva, vedy, výskumu a športu Slovenskej republiky; European Regional Development Fund, ERDF: CZ.1.05/2.1.00/03.008

Influence of magnitude of interaction on control in decentralized adaptive control of two input two output systems

This paper presents an analysis of the influence of interactions on the course of the control process using the chosen method of decentralized adaptive control of two input two output systems. In the paper, after the general introduction to decentralized and adaptive control, the necessary theoretical framework is presented. In this chapter, there is described the method used for decentralized control, the method of identifying the system parameters and the method of calculating the parameters of the controller. In the examples, the effect of the change in the gain of the interaction transfer function in one branch and the effect of the change in the gain of the interaction transfer functions in both branches were tested. Furthermore, it was verified that the change of the pole value in the interaction in one branch influences the control, and the effect of the change of the pole value in the transfer functions of the interaction in both branches. The results of these verifications are presented on selected examples and finally their evaluation is performed

Pre-identification for Real-Time Control

The paper deals with the algorithm named as pre-identification, which denotes the simple general identification algorithm used for the system identification. The identification is realized before the system is controlled. It can be used in case the controlled system is time-invariant or slightly time-variant. Furthermore, the, identified system might be nonlinear. Pre-identification provides a priori system description which is necessary for switching self-tuning control or useful for nonlinear control. The verification of the pre- identification usefulness was realized oil several laboratory apparatuses in real-time using PC