Yuriy Kondratenko

PLC-Based Systems for Data Acquisition and Supervisory Control of Environment-Friendly Energy-Saving Technologies

This paper presents the development of PLC-based systems for data acquisition and supervisory control of environment-friendly energy-saving complex high-tech technologies. The functional structure and main components of PLC-based SCADA-systems for environment-friendly energy-saving technological processes are given. The examples of SCADA applications in design of PLC-based systems for monitoring and automatic control of (a) ecopyrogenesis (EPG) and (b) thermoacoustic technological processes are presented. Paper considers the criteria of energy and economic efficiency of the EPG technological process. The functional structures, software and hardware implementation as well as multi-level human-machine interfaces of the developed PLC-based systems for data acquisition and supervisory control are given. Considerable attention is given to particular qualities of computing of ecopyrogenesis and thermoacoustic processes technological parameters by the proposed SCADA-systems. The developed PLC-based SCADA-systems provide: significant increasing of energy and economic efficiency criteria of the EPG and TAD complexes, high precision control of both technological processes, monitoring of current technological parameters, using the indirect methods for parameters measuring and identifying, and automatic control with high quality indicators and optimal parameters.

From Homogeneous Network to Neural Nets with Fractional Derivative Mechanism

The paper refers to ANNs of the feed-forward type, homogeneous within individual layers. It extends the idea of network modelling and design with the use of calculus of finite differences proposed by Dudek-Dyduch E. and then developed jointly with Tadeusiewicz R. and others. This kind of neural nets was applied mainly to different features extraction i.e. edges, ridges, maxima, extrema and many others that can be defined with the use of classic derivative of any order and their linear combinations. Authors extend this type ANNs modelling by using fractional derivative theory. The formulae for weight distribution functions expressed by means of fractional derivative and its discrete approximation are given. It is also shown that the application of discrete approximation of fractional derivative of some base functions allows for modelling the transfer function of a single neuron for various characteristics. In such an approach smooth control of a derivative order allows to model the neuron dynamics without direct modification of the source code in IT model. The new approach presented in the paper, universalizes the model of the considered type of ANNs.

Synthesis and research of neuro-fuzzy observer of clamping force for mobile robot automatic control system

This paper is dedicated to solving the problem of a fuzzy observer development for the clamping force automatic control system of a mobile robot with magnetically-operated drivers for moving on inclined and vertical ferromagnetic surfaces. An approach based on physical rules of field theory to determine the clamping forces of electromagnets is also considered. The authors propose to synthesize the clamping force observer using hybrid neuro-fuzzy systems based on experimental data. The analysis of computer simulation results in the form of static characteristics graphs of the force observer confirms the high accuracy of the developed neuro-fuzzy observer to the real processes.

Structural and Parametric Optimization of Fuzzy Control and Decision Making Systems

This paper analyzes various methods of structural and parametric optimization for fuzzy control and decision-making systems. Special attention is paid to hierarchical structure selection, rule base reduction, and reconfiguration in the presence of incomplete data sets. In addition fuzzy system parameter optimization based on gradient descent, Kalman filters, H-infinity filters, and maximization of envelope curve values, are considered for unconstrained and constrained cases. Simulation results show the validity of the proposed methods.

Control processes of floating docks based on SCADA systems with wireless data transmission

In this paper the approach of automation of control processes of floating docks parameters on the basis of SCADA systems with wireless data transmission is presented. The hierarchical structure of SCADA system for floating docks docking operations, which has the decentralized information processing as well as individual software and hardware components, is given. The specialized human-machine interface for visual display of functioning of the floating docks docking operations SCADA system is designed. The efficiency of the proposed SCADA system is tested on the developed experimental stand.

Robotics and Prosthetics at Cleveland State University: Modern Information, Communication, and Modeling Technologies

This chapter concentrates on the correlation between research-based education, government priorities and research funding. Special attention is paid to an analysis of the role of modern information and communication technology (ICT) in the education of engineering students. Successful cases with specific description of computer modeling methods for the implementation of prosthesis and robotics research projects are presented based on experiences in the Embedded Control Systems Research Laboratory of Cleveland State University.

Synthesis and Optimization of Green Fuzzy Controllers for the Reactors of the Specialized Pyrolysis Plants

This paper presents the developed by the authors generalized step-by-step method of synthesis and optimization of green fuzzy controllers (FC) for the automatic control systems (ACS) of the reactor’s temperature of the specialized pyrolysis plants (SPP). The proposed method gives the opportunity to synthesize and optimize Mamdani type green FCs of the temperature modes of the SPPs reactors that provide (a) high accuracy and quality indicators of temperature control, (b) low energy consumption in the process of functioning as well as (c) relatively simple software and hardware implementation. The initial synthesis of the structure and parameters of green FCs is implemented on the basis of expert assessments and recommendations. Their further optimization for improving the quality indicators, reducing energy consumption and simplification of soft/hardware realization is carried out using specific optimization procedures by means of mathematical programming methods. In order to study and validate the effectiveness of the developed method the design of the Mamdani type green FC for the temperature ACS of the pyrolysis reactor of the experimental SPP has been carried out in this work. The developed green FC has a relatively simple hardware and software implementation as well as allows to achieve high quality indicators of temperature modes control at a sufficiently low energy consumption, that confirms the high efficiency of the proposed method.

Optimisation of Bi-directional Pulse Turbine for Waste Heat Utilization Plant Based on Green IT Paradigm

The problem of preservation of the environment is closely connected with issues of rational use of energy and material resources. In this regard, the development of new energy-saving technologies is a top priority. Analyzing the state of modern energy saving technologies, one can conclude that there is a lack of effective solutions for utilizing waste low-temperature and cryogenic heat resources (450–132) K. Thermoacoustic heat machines (TAHM), can effectively use such energy sources. TAHM are characterized by high reliability, relative low cost and environmental safety. The introduction of thermoacoustic technologies is hampered by the low power of TAHM and the difficulty of directly obtaining mechanical work from acoustic waves. There is the possibility of using bi-directional turbines as a converter of acoustic energy in mechanical work. Such approach will enable the creation of thermoacoustic turbine generators of high power. To determine the optimal design parameters of bidirectional thermoacoustic turbines it is necessary to conduct a complex of experimental and theoretical studies. Article presents the results of experimental research of the working processes of the “bi-directional turbine—electric generator—TAHM” complex. For the registration and analysis of experimental information, a special computer based control system was created. System includes MCU-based pulse-phase control subsystem for thermoacoustic engine heater, data acquisition subsystem and SCADA-based PC software for data storage and analysis. Designed with green IT approach paradigm control system is described in detail. Initial processing of measurement results was carried out in real time with the help of special software. The results of physical experiments allowed determining the boundary conditions for computational fluid dynamics (CFD) simulation of work processes in the bi-directional turbine. The peculiarities of the medium hydrodynamics in the TAHM resonator during the work of the bi-directional turbine at various load conditions were studied. Based on the results of CFD modeling the structural optimization of turbine is proposed.

The Application of Blockchain Technology in the Maritime Industry

The maritime industry is one of the most polluting in the world. In this paper we present fresh insights related to the application of the novel blockchain technology in reducing pollutions. We analyse recent literature on blockchain technology and propose ways of the utilization of blockchain technology in the maritime industry. Special interest for maritime industry specialists represents the perspectives of the utilization of the blockchain technology in improving the environmental efficiency of the maritime industry. The technology has a broad range of applicability, allowing connecting the supply chain more efficiently, providing the exchange and visibility of time-stamped proofed data, decreasing the industry operational costs with intermediaries and increasing security. It also allows full visibility for all parties involved with proof of work, facilitating Class Societies inspections, Port State Control and audits compliance. The results of the study also show that cases on blockchain application in other fields increase the industry willingness to its application on the maritime industry. While having blockchain implementation specialized third parties would increase the implementation possibility and the industry willingness due to reduced costs and friction. The study will be interesting for scholars, policy-makers and practitioners from the maritime industry.

Models and Algorithms for Prediction of Electrical Energy Consumption Based on Canonical Expansions of Random Sequences

The given chapter is devoted to the development of the mathematical support, in particular, mathematical models and algorithms, which can be successfully used for solving prediction tasks in various areas of human activity, including energetic and ecological management. The development peculiarities and the use of models and algorithms as elements of green technology to predict electric energy consumption based on mathematical apparatus of canonical expansions of random sequences are currently being discussed. Developed calculation method doesn’t impose any limitations on the qualities of random sequences of the change of electric energy consumption (requirement of linearity, Markovian behavior, monotony, stationarity etc.) and has maximal accuracy characteristics in this connection. Block diagrams of algorithms and results of the applied realization of the developed models and algorithms, for example the prediction of electric energy consumption by one of the local neighborhoods in Mykolaiv, Ukraine are introduced in the work. Comparative analysis of the results of a numerical experiment with the use of a Kalman filter and the linear prediction method confirms the high efficiency of the developed models and algorithms (relative error of prediction of electric energy consumption is 2–3%).