Kosta Boshnakov - Academia.edu (original) (raw)

Papers by Kosta Boshnakov

The paper presents the usage of Case-Based Reasoning (CBR) approach for supervisory control of Wa... more 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 different internal or external factors. Instead of solving on-line optimal control tasks CBR approach was applied. So, the regulators set-points are selected on the base of similarity between current situation (case) and already available solutions in the case-base database.

Simplified fuzzy modeling of continuous esterification process

2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies and Industrial Opportunities (Cat. No.00CH37141), 2000

ABSTRACT In this paper a simplified fuzzy modeling method for dynamical processes is proposed and... more ABSTRACT 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 factor and/or by adjusting the shape of the specially introduced membership function. This function expresses in a fuzzy manner the degree of relationship between the past time changes of the inputs and the current output change. Any change in the shape of the membership function, based on some kind of preliminary information, leads to a respective change of the type of the simulated dynamics thus ensuring the wide applicability of the proposed method for real process simulation

Адаптация на параметрите в математичния модел, предназначен за управление на процеса "Легиране" при извънпещна обработка на стомана

A development and investigation of mathematical models for Predictive Emission Monitoring Systems... more 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 derived for design of PEMS oriented to thermal power plants.

The efficiency of the Wastewater Treatment Plant (WWTP) strongly depends on the inlet flow and th... more 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 universal approximation of neural networks (NN), a description of the industrial plant behavior has been obtained. Multi NN have been used to forecast the total pollution and the quantity of the wastewater. A structural analysis of the main pollution's sources in complex chemical plants is done to achieve this purpose. Classifying the pollution's sources in accordance with their type and temporally, a set of clusters has been differentiated. Separate NN describe these clusters. To illustrate the applicability of the developed approach an example of a water purification control system in the wastewater treatment installation of a crude...

The urban sewer systems and the wastewater treatment plants have detrimental impacts on the recei... more 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 environmental and weather conditions. Aimed at river water quality, multivariable approach is used to construct regulator to realize optimization control for the urban wastewater system. Simulation results show that the multivariable regulator can improve the water quality of the receiving river effectively by coordinated control between the wastewater treatment plants and the sewer systems.

The sodium hypochlorite synthesis using diluted chloride solutions represents an actual problem c... more 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 hypochlorite and the electrical energy consumption from one part and the current value and the concentration of the initial chloride solution, from the other. The experiments were carried out in cell (200 ml) with cathodes from iron and anodes from ruthenium and titanium oxides . The initial concentration of the chloride solutions varied in the range 0.05 0.45 g/l. The chosen experimental model was the full factorial one with two levels of the factors. According to this model, the mass of the obtained sodium hypochlorite is maximal for the maximal sodium chloride concentration and the maximal current value. The correlation coefficient is 99 %, ...

A multi agent based prediction monitoring system has been developed. The proposed multi agent sys... more 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 combination of Predictive Emission Monitoring System (PEMS) and Continuous Emission Monitoring System (CEMS) in order to improve the reliability of the developed monitoring system by generating replacement data in a case of sensor failure.

The main aim of the present paper is a comparative analysis of the noncommercial case-based reaso... more 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 for CBR realization are chosen for consideration: myCBR, jColibri, CBR*Tools, CAT-CBR, CASPIAN. The basic characteristics, priorities and specific abilities are considered. A quantity evaluation of every software is done. The results of the study show that myCBR and jColibry are most suitable for diagnosis targets.

International Review of Mechanical Engineering

A model-based approach for investigation of ladle lining damages on the basis of the technologica... more 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 for diagnosis of the insulation thickness in the field of anomaly. Copyright © 2009 Praise Worthy Prize S.r.l. -All rights reserved.

ASPECT: industrial self-tuning nonlinear controller on a PLC

The IEEE Region 8 EUROCON 2003. Computer as a Tool., 2003

ABSTRACT The presented self-tuning nonlinear controller ASPECT (advanced control algorithms for p... more ABSTRACT 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 procedure that combines model identification with pre- and post-identification steps that provide reliable operation. There is a choice of several control algorithms suitable for different processes that may be used for control and whose parameters are automatically tuned from the model. The controller monitors the resulting control performance and may react to detected irregularities. The choice of the controller structure and algorithms allows implementation on available industrial hardware, such as programmable logic controllers (PLCs) or open controllers, and simplifies configuration of parameters.

Adaptive backstepping based terminal sliding mode control for DC-DC convertor

2010 International Conference on Computer Application and System Modeling (ICCASM 2010), 2010

The inherent characteristics of the DC-DC convertors, such as high nonlinearity and time-variatio... more 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 sliding mode control for DC-DC convertor to improve control effect. The

Neural-network-based water quality monitoring for wastewater treatment processes

2010 Sixth International Conference on Natural Computation, 2010

ABSTRACT Wastewater treatment processes are typical complex dynamic processes. They are character... more ABSTRACT 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 sorts and reliability, and most of the sensors are expensive. Software sensors can give estimation to unmeasured state variables according to the measured information provided by online measuring instruments available in the system. Soft measurement technology based on artificial neural network has an obvious advantage in solving high nonlinearity and uncertainty. BP neural network was used to construct a soft measurement approach to monitor the effluent COD and BOD in wastewater treatment processes in this paper. Simulation results show that the soft measurement approach based on neural network can estimate the state variables accurately and can be used in real-time monitoring of biochemical wastewater treatment processes.

Fuzzy logic based dissolved oxygen control for SBR wastewater treatment process

2010 8th World Congress on Intelligent Control and Automation, 2010

The wastewater treatment process is a kind of complex large-scale system, and also an energy inte... more 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 reduce the

Approaches for diagnostic and predictive maintenance

Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2011, 2011

ABSTRACT Approaches to diagnostics and predictive maintenance of technological equipment are pres... more ABSTRACT 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 nondestructive control to localize cracks and defects in depth like metals, composite materials and polymers. An original stand for active thermography for defect localizations in the volume of the research sample - material or a detail is shown. The communication between the researcher and the controlling software is realized by the elaborated specialized humanmachine interface.

2013 Signal Processing Symposium (SPS), 2013

The present paper is an attempt for acceptable balance between theoretical research, computer sim... more 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 results is contained in our efforts for a comparative analysis and also to form rules of the presented methods for intelligent predictive diagnostics. An original method is proposed for predictive maintenance of a metallurgical ladle based on simulations of diagnostics and forecasting of the current state of hightemperature objects. Knowing the condition of the insulation of metallurgical ladles especially at the end of the campaign is essential for operational management in a case of local damage.

Fuzzy sliding mode control for boost converter

2011 International Conference on Electric Information and Control Engineering, 2011

ABSTRACT Inherent time-varying and heavy nonlinearity make the power electronic converter have ma... more ABSTRACT 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 further, fuzzy logic is introduced to improve the sliding control scheme. Simulation results show that this approach has good control result, and it has good robustness to changes in input and load.

IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society, 2011

Microbial fuel cells have been obtaining more and more attention with the associated abilities of... more 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 microbial fuel cells. In this paper, an adaptive fuzzy control scheme is proposed for the microbial fuel cell system to achieve constant voltage output under different loads. A main fuzzy controller is used to track the set value, and an auxiliary fuzzy controller is applied to adjust the factors of the main controller. Simulation results show that the output voltage can track the given value well. The proposed adaptive fuzzy controller can give better steady-state behavior and faster response, and it improves the running performance of the microbial fuel cell.

Pakistan journal of pharmaceutical sciences, 2014