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The Simulation of an Optic Tracking Seeker Function of Homing Missiles in Atmosphere

Radek Doskočil

Abstract


Possible way of implementation of measured and computed data about atmosphere turbulence into the simulation model of an optoelectronic seeker (coordinator) of a homing missiles is described in this article. The general method allows analyzing of impact of the atmosphere turbulence on output signal of an optoelectronic tracking coordinator of homing missiles.

Keywords


Turbulence, Atmosphere, Range, Seeker, Coordinator, Homing, Rocket, Simulation.
Full paper

2008-12-31 13:13

The effect of disturbance in the identification of technological systems

Miroslav Olehla

Abstract


The main characteristic of experimental identification is in using data obtained in a process by observation, respectively experimentation. The model of a process is therefore defined by an input and an output data file of the process. This paper focuses on the identification of linear systems (SISO). The impulse and step responses are determined and also the coefficients of the difference equations with a general input signal. These methods uses a generated general input signal or from the measurement of technological quantities. This paper mainly shows the effect of disturbance on input, output and measured input with the help of correlation functions.

Keywords


Identification, effect of disturbance, correlation function, transfer function, measured input, output.

Full paper

2008-12-31 11:57

Intelligent Weighing of Goods for Packing

Radomil Matoušek, Zdeněk Němec, Tomáš Marada

Abstract


The paper deals with the practical problem of the intelligent weighing and his real solution by means of unprecedented new progression. The project was concerned with handling and weighing goods with different weights of individual items. The basic part of the project is a demonstration of automatic control of the intelligent process of weighing and sorting goods using mostly hardware and software resources by Phoenix Contact. The basic idea of an intelligent weighing is based on the fact that the movement dynamics depends on the weight of the goods handled. In the process of movement control, detailed position and motor current values are measured to calculate the desired weight of the goods to be transported (handled).

Keywords


intelligent weighing, Phoenix contact, automation control

Full paper

2008-12-31 11:18

Planning Smooth Trajectories in the Plane with Obstacles

Miloš Šeda, Václav Pich

Abstract


In robot motion planning in a space with obstacles, the goal is to find a collision-free path of robot from the starting to the target position. There are many approaches depending on types of obstacles, dimensionality of the space and restrictions for robot movements. Among the most frequently used are roadmap methods (visibility graphs, Voronoi diagrams, rapidly exploring random trees) and methods based on cell decomposition. A common feature of all these methods is the generating of trajectories composed from line segments. In this paper, we will show that generalised Voronoi diagrams can be used for fast generation of smooth paths sufficiently distant from obstacles.

Keywords


motion planning, roadmap method, generalised Voronoi diagram

Full paper

2008-12-31 11:15

Prediction of Chemical Composition of Refining Slag With Exploitation of Artificial Neural Networks

Zora Jančíková, Pavel Švec

Abstract


Contribution deals with application of artificial neural networks for prediction of chemical composition of refining slag with aim to optimize production process and to improve production economics. The first part of the paper contains the evaluation of chemical parameters of the selected kinds of ladle slag that are formed during the ladle processing of steel at the ArcelorMittal Ostrava Company. Main interest is paid to metallurgical parameters of test heats and their comparison with the common technology. The theoretical calculations will enable to save part of metallurgical lime and Al2O3 flux additions. Exploitation of neural networks is advantageous, if it is necessary to express complex mutual relations among sensor-based data. More accurate results of predictions of different metallurgical parameters with exploitation of neural networks follow on the fact that application of neural networks enables assignment of relations among process parameters which are not possible to be traced using common methods due to their mutual interactions, considerable amount of data, dynamics and thus following time demands.

Keywords


Neural networks, prediction, steel, chemical composition, slag.
Full paper

2008-12-31 08:49

Grammatical Evolution For Hardware Optimization

Pavel Ošmera , Ondřej Popelka

Abstract


This paper describes a Parallel Grammatical Evolution (PGE) that can evolve complete circuits using a variable length linear genome to govern the mapping of a Backus Naur Form grammar definition. To increase the efficiency of Grammatical Evolution (GE) the influence of backward processing was tested and an influence of several fitness functions. PGE with backward processing can also take advantage of progressive crossover and mutation operators. The algorithm is internally parallel and consists of three different interconnected populations.

Keywords


circuit optimization, parallel grammatical evolution, backward processing, parallel evolution

Full paper

2008-12-15 12:15

Global Navigation and Web monitoring for interoperation transport in outdoor environment

Židek Kamil, Líška Ondrej, Vladislav Maxim

Abstract


This article introduces a prototype of the mobile device intended for
interoperation transport in outdoor environment and web monitoring. The interoperation transport between production and montage halls is its main function. There is described the principle of navigation by GPS system and monitoring of mobile device moves thru web interface. Application monitoring and logs trajectories and
positions to Mysql database.

Keywords


mobile device, interoperation transport, GPS, navigation, ASP with AJAX, web interface, databases

Full paper

2008-12-15 12:04

Genetics algorithms and Genetic programming algorithms dynamics

Tomáš Brandejský

Abstract


The paper deals with GA and GPA dynamics analysed from the position of Hamiltonian mechanics. On the base of GA and especially GPA state space geometry and measure analysis the Hamiltonian of GA and GPA gene energy are defined. The paper analyses both continuous (GA) and non-continuous (GA and GPA) state spaces. The paper conclude with discussion of possible results obtained on the base of Hamiltonian mechanics analysis of GPA behaviours.

Keywords


Genetic Algorithms, Genetic Programming Algorithms, Artificial Intelligence, Hamiltonian mechanics, Chaos

Full paper

2008-12-15 11:41

Positioning accuracy of non-conventional production machines – an introduction

Martin Halaj, Eva Kureková

Abstract


The paper deals with machines employing parallel-kinematics structures (PKS). They represent a relatively new generation of machine tools. Typical for all PKMs are the two “platforms”, where one of the platforms is fixed, that are connected by struts. Depending on the number of struts, the machines are referred to as hexapod or tripod machines. Such machines offer several advantages comparing to the conventional machine tools with serial kinematics, such as high flexibility, high stiffness, and high accuracy. It is very suitable for High-Speed-Machining (HSM), light machining and has received a wide interesting in manufacture industry. To achieve a desired positioning accuracy and stability, the static and dynamic properties of the machine must be searched and mathematically described. The calculation of the estimate of positioning deviation, including respective uncertainty and covariances, is much more complicated task comparing to the serial kinematics. The research will be mainly focused on Tricept, the parallel kinematic structure with three telescopic rods.

Keywords


Parallel kinematic structures, production machines, positioning accuracy, uncertainty

Full paper

2008-12-15 11:27

Using Structural Methods for Deformed Objects Recognition

Jiří Šťastný, Martin Minařík

Abstract


The paper discusses methods of recognition randomly deformed objects. Initially, methods of syntactic analysis of non-deformed objects are described. Further, structural methods of recognition of randomly deformed objects are described, i.e. the use of methods for determination of distance between attribute description of images and deformation grammar. At last, results of those methods are evaluated.

Keywords


Grammar, primitive, pattern recognition, syntactic analysis, top-down parsing, bottom-up parsing, object deformation, string metrics.

Full paper

2008-12-04 11:18

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