BrainMap

Dan Selișteanu

- UNIVERSITATEA DIN CRAIOVA

Researcher | Teaching staff | Scientific reviewer

Expertise & keywords

Information technologies for real-time acquisition, parallel and synchronized processing, of the vibration signals, using FPGA technology Call name: P 2 - SP 2.1 - Cecuri de inovare
PN-III-P2-2.1-CI-2017-0167 2017 - 2017

Role in this project:

Coordinating institution: VONREP SRL

Project partners: VONREP SRL (RO); UNIVERSITATEA DIN CRAIOVA (RO)

Affiliation: UNIVERSITATEA DIN CRAIOVA (RO)

Project website: http://tiavib.ucv.ro

Abstract:

The project proposal with the title „Information technologies for real-time acquisition, parallel and synchronized processing, of the vibration signals, using FPGA technology”, will develop an information technology for software processing of the vibration signals using deconvolution method and information fusion, acquired from several points of a mechanical structure.

The specific objective of this project proposal is to develop an informational technologies for the software processing of the vibration signals, implemented by the real time acquisition and processing, in parallel, synchronized and simultaneously for more signals of vibration measured at different points of a mechanical structure. At hardware level, the processing will be based on FPGA technology (Field Programmable Gate Array) using CompactRIO platform (Reconfigurable Input Output) developed by National Instruments. Using FPGA technology is equivalent to implementing a software program directly into hardware and will generate the possibility of obtaining very small processing times and a real parallel processing.

The type of activity that is addressed in the project is industrial research.

Deliverables at the end of the project:

1. Scientific report with validation tests and the results obtained by the information technologies for processing of the vibration signals, in parallel, synchronized, simultaneously and using the deconvolution method.

2. The software application which implements this technology.

3. The sending of a scientific paper to the International Conference on System Theory, Control and Computing (ICCSTCC) – october 2017

Advanced control systems for bioprocesses in food industry Call name: Joint Applied Research Projects - PCCA 2013 - call
PN-II-PT-PCCA-2013-4-0544 2014 - 2017

Role in this project:

Coordinating institution: UNIVERSITATEA DIN CRAIOVA

Project partners: UNIVERSITATEA DIN CRAIOVA (RO); MOARA CALAFATULUI S.R.L. (RO); UNIVERSITATEA POLITEHNICA TIMIŞOARA (RO); UNIVERSITATEA "DUNAREA DE JOS" (RO)

Affiliation: UNIVERSITATEA DIN CRAIOVA (RO)

Project website: http://www.ace.ucv.ro/adcosbio/

Abstract:

The significant improvement of performance and quality of products in a vital economic domain represented by the food industry can be done by using modern monitoring and control techniques. The project follows the recent research trends and it attempts to unify the team experience in order to apply the research results to bioprocesses in food industry, particularly to bread production and to related wastewater treatment processes.

Bioprocess modelling and control can be successfully achieved using interdisciplinary approaches from control engineering, biochemistry, applied mathematics and information technology. The bioprocesses are complex nonlinear systems, characterized by modelling uncertainties, interconnections, delays, and lack of cheap and reliable instrumentation. Taking into account the previous results obtained by the team in the field of applied automatic control, these interdisciplinary approaches will be used to develop advanced control systems that will be able to deal with the above mentioned specific problems of the bioprocesses.

Firstly, the project will develop advanced control techniques based on nonlinear algorithms (adaptive, predictive, sliding mode, neural, fuzzy, hybrid) for bioprocesses, in different control system structures. Secondly, it will implement, test and validate these techniques on processes in food industry, primary at mills and bread factories. Three main processes are envisaged: bread production, wheat grinding and flour processing, and wastewater treatment.

The main research objectives are:

1. Analysis and modelling of processes in food industry;

2. Development of novel estimation and identification techniques for bioprocesses;

3. Design of advanced control techniques for three classes of bioprocesses;

4. Implementation of advanced control systems for processes in food industry.

These objectives deal with several challenging topics, considered open problems by the Technical Committee on Biosystems & Bioprocesses of the International Federation of Automatic Control (IFAC). These scientific interdisciplinary problems can be investigated and can produce many original elements, and thus the Romanian research in the area can be highlighted.

The research product of the project will be a package of innovative procedures and technologies (algorithms, software and hardware) for bioprocess control, with direct applicability in food industry and wastewater treatment. The specific expected results are as follows: experimental models of fermentation and wastewater treatment bioprocesses, novel identification and estimation techniques (including software tools) for bioprocesses, innovative advanced control technologies, intelligent tuning algorithms for low-cost controllers, practical control solutions for industrial processes in food industry. The ADCOSBIO project is conceived in order to apply these research results in a real industrial environment; by using new control technologies, the processes in food industry can be significantly improved in terms of performance and quality. The applicability of the obtained results can be extended with minor costs to related areas, such as other bioprocesses in food industry (alcoholic and lactic fermentation, synthesis of enzymes) and to various chemical processes.

The research consortium is composed of four partners: three research organizations (University of Craiova - coordinator, “Politehnica” University of Timișoara, University “Dunărea de Jos” of Galaţi) with well known national and international experience in scientific and research area, and one enterprise (SC Moara Calafatului SRL), the biggest mill and bread production enterprise in south-region of Dolj County. The research teams are multidisciplinary, with specialists in control engineering, information technology, electrical engineering, biotechnology, biochemical and agricultural engineering.

ADVANCED CONTROL SYSTEM OF A BIOREFINERY PLANT Call name: Joint Applied Research Projects - PCCA 2013 - call
PN-II-PT-PCCA-2013-4-0070 2014 - 2017

Role in this project:

Coordinating institution: UNIVERSITATEA "DUNAREA DE JOS"

Project partners: UNIVERSITATEA "DUNAREA DE JOS" (RO); UNIVERSITATEA DIN CRAIOVA (RO); UNIVERSITATEA POLITEHNICA TIMIŞOARA (RO); TEAMNET ENGINEERING SRL (RO)

Affiliation: UNIVERSITATEA DIN CRAIOVA (RO)

Project website: http://www.biocon.ugal.ro

Abstract:

The main objective of the BIOCON project proposal is the experimental analysis and in the efficiency increase through automation of a complex biorefinery installation that consists in the coupling of two processes: an anaerobic digestion process and a photosynthetic growth process of microalgae in photobioreactor. The resulting installation is used to obtain microalgal biomass for added value compounds extraction, to bio-mitigate the CO2 evolved from combustion of biogas using it as substrate for the photosynthetic growth of microalgae, to study the utilization of biomass residues derived from the extraction of added value compounds from microalgae as substrate for the production of biogas through anaerobic digestion and to analyze the production of biogas in the anaerobic treatment of wastewaters. To accomplish these objectives with the available resources a structure based on the modern concept HILS (Hardware in the Loop Simulations) was adopted. This structure involves the coupling of an experimental structure (a photobioreactor for the photosynthetic growth of microalgae) and a software structure (an anaerobic digester), noting that this HILS structure behave similarly with an experimental biorefinery installation.

The original scientific contributions of the project consist in solutions for the automation of a very complex process (with strong nonlinearities, affected by parametric and model uncertainties and subjected to perturbations): mathematical models for the anaerobic digester and photobioreactor, and for the coupling between a software entity – anaerobic digester and an experimental one – photobioreactor for microalgae growth; prototype of the biorefinery installation based on the HILS concept, controlled with the process computer; control solutions for the biorefinery installation, advanced control system for the global process. The main novelty and originality character of the project consist in the systemic approach (modeling and control) of the biorefinery installation for which few references can be found in literature. The following main objectives of the project can be mentioned: modeling of the anaerobic digestion process, modeling and identification of the microalgae photosynthetic growth process based on the experiments made on the pilot photobioreactor, synthesis of control algorithms (fuzzy and optimal), for both processes (anaerobic digester and photobioreactor) treated individually and coupled, through numerical simulation and implementation on the biorefinery installation based on HILS concept. In the current competitive context for energy resources, the project aims to encourage the use of anaerobic treatment methods, providing solutions for the removal of nutrients from the anaerobic digester effluents through the photosynthetic growth processes in order to comply with the imposed quality standards. The project also encourages the use of photosynthetic growth processes with low-cost substrates such as wastewater and CO2 from biogas combustion. It must be underlined that both processes and technologies within the project are approached through a systemic-engineering manner that is specific to process automation. The consortium consists in four entities, all with wide experience in the development of scientific research projects: Coordinator – Dunarea de Jos University of Galati, P1 – University of Craiova, P2 – Polytechnic University of Timisoara and T3 – TeamNet SRL Company. The consortium includes specialists in automation, process informatics and biotechnology, responding thus to the interdisciplinary characteristic of the project. The working plan is rigorous and well-balanced, all partner institutions providing highly qualified human resource and appropriate logistics, and creating good premises for the accomplishment of the expected results.

AN INTELLIGENT HAPTIC ROBOT GLOVE for the PATIENTS SUFFERING A CEREBROVASCULAR ACCIDENT Call name: Joint Applied Research Projects - PCCA-2011 call, Type 1
PN-II-PT-PCCA-2011-3.1-0291 2012 - 2016

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI (RO); UNIVERSITATEA DIN CRAIOVA (RO); SPITALUL CLINIC DE RECUPERARE (RO)

Affiliation: UNIVERSITATEA DIN CRAIOVA (RO)

Project website: http://www.ihrg.pub.ro

Abstract:

In the last decade, the scientific community has become increasingly interested in so-called Rehabilitation Robotics, a branch of the areas of Robotics and Mechatronics that addresses to the study of complex robotic systems aimed at the restoration of human functions for those people who haved suffered major trauma as a result of strokes and cerebrovascular diseases. A cerebrovascular stroke occurs when a blood vessel (an artery) that supplies blood to an area of the brain bursts or is clogged by a blood clot. As a result, the part of the body that is controlled by the affected area of the brain cannot function properly.Total loss or loss of range of motion, decreased reaction times and disordered movement organization create deficits in motor control, which affect the patient’s independent living.A key feature of our project is that subjects at any impairment level can repetitively practice and complete stereotyped movement patterns. Active retraining can positively shape the cortical reorganization associated with motor recovery following brain injury. This therapy involves intensive repetitive exercise of the more affected limb coupled with constraint of the opposite limb and results in positive cortical reorganization in the motor cortex.

This project deals with the design and development of an Intelligent Haptic Robot-Glove (IHRG) for the rehabilitation of the patients that have a diagnosis of a cerebrovascular accident (CVA).The IHRG is an exoskeleton that supports human hand and hand activities by using a control and virtual architecture for dexterous grasping and manipulation. This IHRG is a medical device that acts in parallell to a hand in order to compensate some lost function. In this project, a novel mechatronic approach for the development of an exoskeleton assistive hand is considered, integrating the mechanical structure, the sensory , the actuation system and the virtual and control system.

Predictive and adaptive control of bioprocesses. Modelling, identification, control applications for interconnected bioprocesses Call name: Programul de actiuni Integrate Romania-Franta (bilaterale)
PN-II-CT-RO-FR-2012-1-0008 2012 -

Role in this project:

Coordinating institution: Universitatea din Craiova

Project partners: Universitatea din Craiova (RO)

Affiliation:

Project website:

Abstract:

The project proposes to connect an international interdisciplinary research to a thematic of high scientific and technologic impact - the modelling, identification and control of complex biotechnological processes, which are characterised by nonlinearities, propagation delays and interconnected subsystems. All these particular aspects generate complex dynamics, which can be controlled by using methods with high degree of robustness, such as predictive control and its derivatives, and also by using adaptive methods. The common approach of the involved research teams is based on the automatic control and its related techniques: mathematical modelling, identification, simulation, nonlinear control. The research will be focused on the following specific objectives: - modelling, identification and simulation of biotechnological processes, including propagation and interconnected bioprocesses; - predictive, adaptive and hybrid control methods, as well as applications of these methods, in correlation with the results of the French team. Based on their competences and expressed research interests, the research teams have congruent objectives, with some distinct activities but also with common activities. The teams’ interaction will be assured within the mobility program, but also by common publications and communications. The project will assure a strong collaboration between the French and Romanian researchers, in order to investigate a difficult and complex domain.

FILE DESCRIPTION	DOCUMENT
List of research grants as project coordinator or partner team leader
Significant R&D projects for enterprises, as project manager
R&D activities in enterprises
Peer-review activity for international programs/projects