Michal Kopcek

Active Control of Oscillation Patterns in the Presence of Multiarmed Pitchfork Structure of the Critical Manifold of Singularly Perturbed System

We analyze the possibility of control of oscillation patterns for nonlinear dynamical systems without the excitation of oscillatory inputs. We propose a general method for the partition of the space of initial states to the areas allowing active control of the stable steady-state oscillations. Furthermore, we show that the frequency of oscillations can be controlled by an appropriately positioned parameter in the mathematical model. This paper extends the knowledge of the nature of the oscillations with emphasis on its consequences for active control. The results of the analysis are numerically verified and provide the feedback for further design of oscillator circuits.

The Defuzzification Methods Influence on Fuzzy Control of Nuclear Reactor

This paper deals with the influence of the defuzzification methods on the quality of fuzzy control. There exist many defuzzification methods in theory. Each of them has its own benefits and application areas. The scope of this paper is focused only to the defuzzification methods available in Matlab Simulink environment. These are compared and evaluated using the integral quality criteria. The fuzzy PI controller was designed with normalized universes to simplify the tuning of controller parameters. The nuclear reactor model has been used as a reference system during experiments. The nuclear reactor model has been constructed using the Point kinetics model and the Thermal model. Step response characteristics of the closed loop control system were evaluated using integral criteria to compare available defuzzification methods. Finally the achieved results were briefly summarized.

Using GA and Computation Parallelism for the Optimal Pilot Bus Selection

The power system is generally characterized in particular by its size, complexity and time varying, beforehand unknown electrical load. Because large electric power is transferred, even slight changes in the settings can produce significant economic savings. Based on the characteristics of the power system and the nature of the secondary voltage control, it is clear that the optimal pilot bus selection plays a key role in the quality of control and related economic impacts. This paper deals with the system for optimal pilot bus selection of supervisory node voltage control in a large – scale power system, so that the key problem could be solved using the principle of parallelism and grid computing structure to make the computer time consumption as low as possible.

Identification of Surface Topography Scanned by Laser Scanning Confocal Microscope

Topography and surface roughness is defined as a set of surface textures formed due to used machining or other production technology. It is a key factor mainly for dynamically stressed components. Greater surface roughness negatively affects the fatigue strength of component or its wear resistance.The paper deals with the visualization and processing of data obtained from a laser confocal microscope Zeiss LSM 700. Data acquired by LSM software ZEN2009 are exported in the text form of 3D coordinates of the image data points and are arranged as a set of 2D profiles with resolution 1.10-7 m. The aim is to describe an alternative method of evaluating raw data extracted from z-stack of acquired TIFF images in order to achieve higher precision and identify the topography of the scanned sample surface. Different methods of data processing have been tested to eliminate deficiencies located mainly in the parts of the scanned surface with low intensity.

Systematic Approach to Factory Acceptance Test Planning

Abstract This paper deals with proposal of the basic frame of systematic approach to factory acceptance tests (FAT). The motivation of the presented research is briefly and concisely introduced in connection with relevant standards. Presented systematic approach to FAT is exhaustively explained using a case study example. The main results could be summarized as follows. In the first place is the analysis of approaches in the relevant research area, which is the life cycle of control systems on process level. Next is the proposal of the basic frame of systematic approach to planning, execution, evaluation and documenting of FAT and finally the detailed FAT plan specification. It is obvious that the presented proposal provide engineers with effective uniform methodics to deal with FAT, which could consequently lead to shortening the implementation phase of project life cycle.

The Options of Using Data Mining Methods in Process Control

The term business intelligence (BI) represents the tools and systems that play a key role in the strategic planning process of the corporation. These systems allow a company to gather, store, access and analyze corporate data to aid in decision-making. Necessary fundamental definitions are offered and explained to better understand the basic principles and the role of this technology for a company management. The proposed article is logically divided into more sections, where the stages of basic research in the field of data mining are described gradually. This involves the definition of the technology and the list of main advantages and analytical methods incorporated in online analytical processing. Also some typical applications of above mentioned particular methods are introduced. The focus of this paper is to introduce the options of using the data mining methods on the control systems level within the hierarchical control systems model.

Virtual model of an electro-hydraulic system

This paper deals with the design of model of electro-hydraulic system with failure simulation feature. The fundamental causes and effects of failures of electro-hydraulic system are summarized. Virtual Simulink model of electro-hydraulic system has been developed and implemented in compliance with performed FMEA (Failure Mode and Effects Analysis). Subsequent experimental part focuses to the simulation of selected failures on electro-hydraulic system model. The results of simulation of failures are shown in time response characteristics of monitored variables.

BUSINESS INTELLIGENCE IN PROCESS CONTROL

Abstract The Business Intelligence technology, which represents a strong tool not only for decision making support, but also has a big potential in other fields of application, is discussed in this paper. Necessary fundamental definitions are offered and explained to better understand the basic principles and the role of this technology for company management. Article is logically divided into five main parts. In the first part, there is the definition of the technology and the list of main advantages. In the second part, an overview of the system architecture with the brief description of separate building blocks is presented. Also, the hierarchical nature of the system architecture is shown. The technology life cycle consisting of four steps, which are mutually interconnected into a ring, is described in the third part. In the fourth part, analytical methods incorporated in the online analytical processing and data mining used within the business intelligence as well as the related data mining methodologies are summarised. Also, some typical applications of the above-mentioned particular methods are introduced. In the final part, a proposal of the knowledge discovery system for hierarchical process control is outlined. The focus of this paper is to provide a comprehensive view and to familiarize the reader with the Business Intelligence technology and its utilisation.