MCIA - Motion Control and Industrial Applications Research Group
El grup estudia la modelització, la simulació, les tècniques de control, la implantació física i les aplicacions dels sistemes electrònics de potència aplicats al control industrial i als accionaments elèctrics. Concretament, estudia el control digital amb microprocessadors, processadors de senyals digitals (DSP) i matrius de portes programables in situ (FPGA, de l’anglès field programmable gate array) dels convertidors i els llaços de regulació que apareixen en el control industrial i en el control dels motors elèctrics, per a la qual cosa aplica tècniques de control adaptatiu i intel·ligent. L'estudi dels sistemes electrònics per a la gestió i l'estalvi energètic, i el tractament de les dades de la planta per al diagnòstic i el manteniment també són temes d'interès per al grup.
El grupo estudia la modelización, la simulación, las técnicas de control, la implantación física y las aplicaciones de los sistemas electrónicos de potencia aplicados al control industrial y a los accionamientos eléctricos. Concretamente, estudia el control digital con microprocesadores, procesadores de señales digitales (DSP) y matrices de puertas programables in situ (FPGA, del inglés field programmable gate array) de los convertidores y los lazos de regulación que aparecen en el control industrial y en el control de los motores eléctricos, aplicando técnicas de control adaptativo e inteligente. El estudio de los sistemas electrónicos para la gestión y el ahorro energético, y el tratamiento de los datos de la planta para el diagnóstico y el mantenimiento también son temas de interés para el grupo.
The MCIA is a reference center of research, development and innovation for its scientific research, applied research and technology transfer activities in the areas of energy efficiency, electromobility and industrial systems. The activity of the MCIA center is based on research and knowledge generation to allow a technology transfer of high innovative value and significant competitive level to the industrial sector. The MCIA Center covers the whole innovation and development chain: conceptualization, design, implementation and validation. Thus, a high quality technology transfer till TLR6-7 providing solutions for the creation of new products and optimization of the existing ones, in the areas of electrical, electronic and ICT engineering. The MCIA is member of the Polytechnic University of Catalonia Technology Center, CiT UPC, from where the MCIA cooperates and leads multiple research and technology transfer activities.
The MCIA is a reference center of research, development and innovation for its scientific research, applied research and technology transfer activities in the areas of energy efficiency, electromobility and industrial systems. The activity of the MCIA center is based on research and knowledge generation to allow a technology transfer of high innovative value and significant competitive level to the industrial sector. The MCIA Center covers the whole innovation and development chain: conceptualization, design, implementation and validation. Thus, a high quality technology transfer till TLR6-7 providing solutions for the creation of new products and optimization of the existing ones, in the areas of electrical, electronic and ICT engineering. The MCIA is member of the Polytechnic University of Catalonia Technology Center, CiT UPC, from where the MCIA cooperates and leads multiple research and technology transfer activities.
Collections in this community
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Articles de revista [106]
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Llibres [1]
Recent Submissions
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An optimal tracking power sharing controller for inverter-based generators in grid-connected mode
(2019)
Conference report
Restricted access - publisher's policyIn this work, an optimal power sharing controller for a three-phase Inverter-based Generator (IG) in a synchronous d-q reference frame is presented. The optimization of this controller is computed using a Linear-Quadratic ... -
Deep learning based condition monitoring approach applied to power quality
Conference report
Restricted access - publisher's policyCondition monitoring applied to power quality involves several techniques and procedures for the assessment of the electrical signal. Data-driven approaches are the most common methodologies supported on data and signal ... -
Analysis of machine learning based condition monitoring schemes applied to complex electromechanical systems
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Restricted access - publisher's policyIn the modern industry framework, the application of condition monitoring schemes over electromechanical systems is being subjected to demanding requirements. Currently, the massive digitalization of industrial assets ... -
Circular economy of post-consumer textile waste: classification through infrared spectroscopy
(2020-11-01)
Article
Restricted access - publisher's policyThe textile and fashion industry is amongst the most resource-intensive and polluting industries, thus impacting the natural environment. During the last decades, there has been an increase in the manufacturing of textiles. ... -
Sensor comparison for corona discharge detection under low pressure conditions
(2020-06-01)
Article
Open AccessLow pressure environments, situate insulation systems in a challenging position since partial discharges (PDs), corona and arc tracking are more likely to develop. Therefore, specific solutions are required to detect such ... -
Supervision and fault detection system for photovoltaic installations based on classification algorithms
(2020)
Conference report
Open AccessThis article presents a methodology for the supervision and fault detection on photovoltaic installation, through the information gathered by their SCADA system. The proposed methodology consists of the use of a multi-clustering ... -
Non-linear least squares optimization for parametric identification of DC-DC converters
(Institute of Electrical and Electronics Engineers (IEEE), 2020-06-19)
Article
Open AccessSwitching mode power converters are being extensively applied in different power conversion systems. Parameter identification comprises a set of techniques focused on extracting the relevant parameters of the converters ... -
Uprating of transmission lines by means of HTLS conductors for a sustainable growth: challenges, opportunities, and research needs
(2020-12-01)
Article
Restricted access - publisher's policyThis paper provides a comprehensive and critical review and evaluation of the technological state-of-the-art of high-temperature low-sag (HTLS) conductors by analyzing research articles, theses, reports, white papers and ... -
Industrial data-driven monitoring based on incremental learning applied to the detection of novel faults
(2020-09-01)
Article
Open AccessThe detection of uncharacterized events during electromechanical systems operation represents one of the most critical data challenges dealing with condition-based monitoring under the Industry 4.0 framework. Thus, the ... -
A novel methodology for determination of soiling on PV panels by means of grey box modelling
(2019)
Conference report
Restricted access - publisher's policyThis article presents a novel methodology for the determination of soiling appearance on photovoltaic panels by means of data analysis of their energy production and operating conditions. The proposed methodology is based ... -
A data-driven-based industrial refrigeration optimization method considering demand forecasting
(2020-05-21)
Article
Open AccessOne of the main concerns of industry is energy efficiency, in which the paradigm of Industry 4.0 opens new possibilities by facing optimization approaches using data-driven methodologies. In this regard, increasing the ... -
Experimental study of the corona performance of aged sand-cast substation connectors
(2020-06-01)
Article
Open AccessSubstation connectors, like many other high-voltage products, are tested once manufactured. However, the corona behavior of aged specimens can differ from that exhibited by newer ones, thus generating detrimental technical ...
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