Kosta Boshnakov

Kosta Boshnakov
University of Chemical Technology and Metallurgy | UCTM · Department of Automation

PhD

About

39
Publications
3,023
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136
Citations
Additional affiliations
November 1973 - April 2020
University of Chemical Technology and Metallurgy
Position
  • Professor (Full)
Education
September 1996 - December 1997
University of Chemical Technology and Metallurgy, Sofia, Business Academy, Svishtov, Bulgaria, National Technical University of Athens, The Queen’s University of Belfast, The University of Bologna, The Free University of Brussels, The International Technological University
Field of study
  • Environmental Protection and Sustainable Development
May 1993 - December 2001
University of Chemical Technology and Metallurgy
Field of study
  • Mathematical modeling and control of technological processes in chemistry
September 1967 - September 1973
University of Chemical Technology and Metallurgy
Field of study
  • Control Engineering

Publications

Publications (39)
Chapter
The model predictive control methodology is very powerful for the design of hierarchical multilayer control systems, i.e. systems which can be used either to control plants characterized by significantly different dynamics or to use different models of the same plant with the aim to optimize a number of criteria. Here, a two-level structure for con...
Conference Paper
The model predictive control methodology is very powerful for the design of hierarchical multilayer control systems, i.e. systems which can be used either to control plants characterized by significantly different dynamics or to use different models of the same plant with the aim to optimize a number of criteria. Here, a two-level structure for con...
Article
Full-text available
Proton exchange membrane fuel cells (PEMFCs) are promising clear and efficient new energy sources. An excellent control system is a normal working prerequisite for maintaining a fuel cell system in correct operating conditions. Conventional controllers could not satisfy the high performance to obtain the acceptable responses because of uncertainty,...
Article
A method and system for decision making and control (DMC) of combustion process of pulverizing fuel-air mixture in large multiburner furnace is proposed. Due to the lack of necessary information inference measurements are created on the basis on the first principle CFD model of the combustion process and a sequential image processing. Decision maki...
Article
Full-text available
Microbial fuel cells have been obtaining more and more attention with the associated abilities of continuous electrical power supply and wastewater treatment. Because of its complicated reaction mechanism and its inherent characteristics of time varying, uncertainty, strong coupling and nonlinearity, there are complex control challenges in microbia...
Conference Paper
Full-text available
The paper presents the usage of Case-Based Reasoning (CBR) approach for supervisory control of Wastewater Treatment Plants (WWTP) intended to better water purification. Proposed CBR supervisory control of WWTP is based on the cases. Each case contains specific regulators setpoints, corresponding to different situation in the plant, caused by differ...
Article
More than 90% of the world copper yield is carried out using the Peirce- Smith converters (PSC). In changeable situations due to disturbances, logistic problems, tuyeres and refractory erosion, and dispatching requirements, the conventional basic control is not able to guarantee a permanent efficiency and safety. Traditionally in various of situati...
Article
In this paper some problems of the tight integration of the Process Control (PC) and Condition Based Maintenance (CBM) are considered in the creation of a supervised control system for Peirce-Smith Converter. The motivation of this approach is carried out on the base of numerous experimental data analyses, which show a significant improving potenti...
Conference Paper
Full-text available
The present paper is an attempt for acceptable balance between theoretical research, computer simulations and experiments on real industrial objects. Several rules and recommendations are retrieved from the obtained results about the exploitation domains of certain classes of industrial metallurgical objects. The practical trend of the presented re...
Article
Full-text available
A new method for diagnosis of the remaining thickness of metallurgical ladle refractory lining working in a batch mode is proposed, where directly measured by a thermovision camera data about the amplitude and phase delay of the maximum surface temperature is used. Regression equations are obtained to determine the remaining thickness of the ladle...
Article
Full-text available
A model-based approach for investigation of ladle lining damages on the basis of the technological characteristics and thermovision images is proposed. A mathematical model of the ladle lining heat transfer is solved for a number of different cases. The approximation of these results is presented as regression equations. These equations can be used...
Chapter
The chapter presents a PLC-based system for advanced control called ASPECT. The ASPECT controller was designed to be an efficient and user-friendly engineering tool for the implementation of parameter-scheduling nonlinear control in the process industry, which is achieved by partial automation of the commissioning procedure. The key to the concept...
Article
Approaches to diagnostics and predictive maintenance of technological equipment are presented in the paper. Different techniques are analyzed using intelligent approaches to fault diagnosis. Results from application of passive and active thermography are presented. Active thermography is acknowledged as one of the most powerful tools for nondestruc...
Article
Full-text available
Inherent time-varying and heavy nonlinearity make the power electronic converter have many difficulties in control. Classical control approach can not reach ideal control effect. A kind of sliding mode double-loop control method is designed in this paper. To overcome the chattering caused by sliding mode control and improve the system stability fur...
Conference Paper
Full-text available
The main aim of the present paper is a comparative analysis of the noncommercial case-based reasoning (CBR) software. The background and the areas of application of the CBR are presented. After preliminary analysis, taking in mind the requirements of the traditional and predictive diagnosis and maintenance, five of the most popular software systems...
Article
Full-text available
The inherent characteristics of the DC-DC convertors, such as high nonlinearity and time-variation, often result in some difficulties in designing control approaches. Adaptive backstepping sliding mode control method and terminal sliding mode control method are combined in this paper to propose a new kind of adaptive backstepping based terminal sli...
Conference Paper
Full-text available
Wastewater treatment processes are typical complex dynamic processes. They are characterized by severe random disturbance, strong nonlinearity, time-variant properties and uncertainty. Sensors which have higher reliability and adaptability are needed in such systems. Sensors currently available for wastewater treatment processes are limited both in...
Article
Full-text available
The wastewater treatment process is a kind of complex large-scale system, and also an energy intensive process. For the urban wastewater treatment plan, about 50 to 70 percent of the total power energy is consumed in the aeration stage, and meanwhile the actual control method for the aeration process usual simple and crude. So it is possible to red...
Article
Full-text available
The urban sewer systems and the wastewater treatment plants have detrimental impacts on the receiving river water quality. The ecological quality of a receiving river can be effectively protected by regulating the operation of the wastewater treatment plants and the wastewater effluent from the sewage networks to the river according to the environm...
Article
This paper presents an innovative self-tuning nonlinear controller ASPECT (advanced control algorithms for programmable logic controllers). It is intended for the control of highly nonlinear processes whose properties change radically over its range of operation, and includes three advanced control algorithms. It is designed using the concepts of a...
Article
Full-text available
The sodium hypochlorite synthesis using diluted chloride solutions represents an actual problem considering the number of applications of this compound -as an antiseptic, for the waste waters treatment, etc . The goal of this work is the elaboration of a mathematical model describing the relationship between the quantity of the obtained hypochlorit...
Article
This paper presents an innovative self-tuning nonlinear controller ASPECT (advanced control algorithms for programmable logic controllers). It is intended for the control of highly nonlinear processes whose properties change radically over its range of operation, and includes three advanced control algorithms. It is designed using the concepts of a...
Conference Paper
Full-text available
A control performance monitor (CPM) as a software agent is developed for assessment of the SISO control loops behaviour. A dedicated system for data pre-processing is applied in order to guaranty robust properties of the extracted process features. Using a fuzzy and rule based evaluation procedure an overall performance index is also calculated fro...
Conference Paper
This paper presents an advanced control system named ASPECT for control of nonlinear or slowly time varying systems. The described control system was developed and implemented in programmable logic controller to meet industrial demands. The case study, which is control of gas-liquid separation unit, is intended to illustrate the operation and benef...
Conference Paper
The presented self-tuning nonlinear controller ASPECT (advanced control algorithms for programmable logic controllers) is intended for control of a practically important class of nonlinear processes that may be presented by a set of low-order local linear models. The model is obtained by means of experimental modelling using an online learning proc...
Article
The advanced control system for control of nonlinear, slowly time variant and delayed processes is described in the paper. The proposed control system performs automatic tuning of fuzzy gain-scheduling controller parameters. The parameters are tuned according to a non-linear process model, which is identified by performing simple experiments on the...
Conference Paper
This investigation identifies the relative properties of eight control structures of the pH neutralization process by extensive simulations. Eight different feedforward neural networks (NN) are used to cover a variety of functions in control systems: first principle model emulation in order to overcome computational restrictions, non measurable dis...
Article
In the present paper the hierarchical control of an esterification reactor, processing in parallel with two other identical reactors within the framework of a unified process stage, is studied. The features of the esterification reactor as a control object are analyzed and its dynamic characteristics are reported. The control functions are distribu...
Article
A multilevel hierarchical control system for a single end product multistage plant is under consideration. It is shown that a variety of models and/or hybrid modeling are reasonable for inferred key variable forming, monitoring and control. Because of the complexity, uncompleted information, large uncertainties and mixture of batch, semi-batch and...
Conference Paper
In this paper a simplified fuzzy modeling method for dynamical processes is proposed and analyzed on the example of a real process data from a esterification process in a chemical plant. The proposed simplified fuzzy modeling method uses an incremental type of cause-effect model. The dynamics of the process can be matched by tuning the scaling fact...
Article
Full-text available
This paper presents a mathematical model for an alternating oxidation ditch system, performing carbon oxidation-nitrification, denitrification and settling. The model consists of 1-dimensional mass balance (convection-dispersion) equations, based on the IAWPRC activated sludge model No 1. The data used for the calibration and the application of the...
Article
Full-text available
This paper presents a mathematical model for an alternating oxidation ditch system, performing carbon oxidation-nitrification, denitrification and settling. The model consists of 1-dimensional mass balance (convection-dispersion) equations, based on the IAWPRC activated sludge model No 1. The data used for the calibration and the application of the...
Article
The structural peculiarities and functional characteristics of an implemented two level three layer hierarchical process control system are studied on the basis of an oxidizing chemical reactor in a synthetic fibre plant. As it is impossible to obtain directly measured information for the main state variables of the process-chemical composition and...
Article
Full-text available
A development and investigation of mathematical models for Predictive Emission Monitoring Systems (PEMS) in order to reconstruct the missing data on the base of low frequent direct measurements are discussed. A comparative analysis is provided among variety of individual and hybrid models using real experimental data. Practical recommendations are...
Article
Full-text available
Some problems of hybridization in the area of industrial systems are considered. The term "hybrid approach" is used for variety of classes of systems and approaches. Firstly, it describes the aggregation of different intelligent techniques (Neural networks, Fuzzy logic, Rule based, Statistical, Analytical). Secondly, it allows several types of dyna...
Article
Full-text available
A multi agent based prediction monitoring system has been developed. The proposed multi agent system combines two types of autonomous agents – primitive and intelligent agents. Multi modeling techniques to predict the immeasurable gas components and following aggregation, simulation and successive optimization are used. The presented approach is a...
Article
Full-text available
The efficiency of the Wastewater Treatment Plant (WWTP) strongly depends on the inlet flow and the component concentrations of the wastewater. The forecasting of WWTP load gives promising opportunities to accomplish relevant operational actions. A predictive control strategy has been implemented. Taking advantage of the recognized properties of uni...

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