Projects / Programmes
January 1, 2013
- December 31, 2016
| Code |
Science |
Field |
Subfield |
| 2.08.00 |
Engineering sciences and technologies |
Telecommunications |
|
| 2.07.00 |
Engineering sciences and technologies |
Computer science and informatics |
|
| Code |
Science |
Field |
| T121 |
Technological sciences |
Signal processing |
| Code |
Science |
Field |
| 2.02 |
Engineering and Technology |
Electrical engineering, Electronic engineering, Information engineering |
| 1.02 |
Natural Sciences |
Computer and information sciences |
Researchers (8)
Organisations (1)
Abstract
Telematic's research programme will cover three diffferent research fields: sensor networks, robust controll and remote sensing. The research work will focus on digital signal processing.
The baseline research occupation in the area of robust control theory will based on development of optimal control and controller structures, with metric H∞, H2 and H∞, H2 paradigms. Developed methods can be further used as a tool for synthesis and analysis of the controlled system. The focus will be placed on the development of control algorithms for system in industrial environments, autonomous robotic system, delayed systems and electric powertrains etc. The robust synthesis will be especially also suitable for the systems with fixed controller structure and can be used for the control upgrade or improvements of the systems in industrial environments, where simple controller structure is previous set like PI, PID, Lead-lag, lag-lead compensators. The optimization with predefined low order structure would be performed with additional cost function during the synthesis and zero-order optimization. Also for other systems, where structure of controller can be freely chosen and further used like additional optimization parameter, the synthesis would offer optimality of performance and robust criteria’s, where criteria’s cover different closed-loop aspect and limitations, environment disturbances, system nonlinearity, sensors noise, time performance, parameter deviation, uncertainty, controller output limitation etc.
With development of new standards for wireless sensor networks, there are many different issues which have not been solved. In this research field, the development of localization of a sensor node using a Bayesian methods with a particle filters will be developed and the estimation of velocity from the received spectrum will be researched. The spread spectrum techniques will be studied in order to minimize the multipath effects. The global synchronization of sensor nodes will be developed for measuring distances between nodes and the problem of hidden nodes and minimization of power consumption of nodes within the sensor networks will be researched.
The research within the industrial data networks, which are used in automation, remote control and surveillance, will be focused on EtherCAT based networks, where the global synchronization problems, Fault-Tolerant systems and implementation of Industrial networks will be researched
The remote sensing research area will be focused on processing of Synthetic Aperture Radar and Ground penetrating data, where a new algorithms for physical parameters retrieval, such as estimation of soil moisture, ocean currents, target detection, land sliding, detecting of ground moving targets will be researched. We will develop methods for change detection on a surface and subsurface, terrain classification, etc. The interferometry data will be used within new techniques for characterization of Earth’s surface.
Significance for science
The proposed solutions in the field of remote sensing, robust control and localization of wireless nodes contributed scientifically to specific research area. The goal of research program was development and implementation in the field of Synthetic Aperture Radar and system control, where knowledge of interpretation, processing and understanding shall contribute to gain and boost a new knowledge. Radar Technologies are present in everyday life from industry products, autonomous driving, night vision, food control and medical applications. Solutions proposed within this research project shall enable new economic approaches to science, industry and medicine, which are based on advanced signal processing techniques. Proposed methods contributed to new products and by implementing them they are much more simple as the state of the art methods; therefore, they can be easily implemented. The gained knowledge can be extended on biomedicine technologies for contactless measurements of physical parameters. Proposed concepts are original in the sense of implementation and can be directly used in the industry systems. An innovative component can be further developed. Researchers have been paying attention to the existing methods, which can be nowadays implemented in practice and tested. Researchers have established new connections with industry partners and other Universities to transfer knowledge to the practice. The developing of robust design methods and clearly defined criteria and approaches, move limits of the theory and higher the applicability of the approach in different technical and sciences areas. The positive progress in robust field also highly accelerate the development of numerical methods for optimization algorithms. The robustness methodology and especially the metrics H? or H2 can be used on the similar areas such as; signal processing, sensor technology, etc. The methodology allows further use of the metric in the analysis and optimization procedure in various design areas such as, construction, engineering, logistics, medicine as well as the economy (eg. analytical models of the market, etc.). With the introduction of the feedback delayed system, the theory become applicable for the guided system via telecommunications networks. The detailed analysis of the telecommunication network; delay evaluation, data loss etc. All of these factors may be included in the synthesis of the feedback system. Network delay can be presented as delay in the feedback branch of the feedback control structure. Systematic analysis of feedback system and taking into account the feedback delay, allowing the synthesis of advanced algorithms that will allow autonomous remote control of individual, as well as a cluster of distributed processes.
Significance for the country
The impact of the research program on industry and society can be interpreted from two points of view. The first one represents impact on economy, where project results can contribute to development of new industrial sector, which shall bring together technology and science by using low cost components. It is expected that developed prototypes can be used in the industry sectors. Researcher and Slovenian community shall have access to the development of new type of radars and gain newly information from radar techniques. System modelling and control shall also find its implementations to the practical engineering approaches. We expect positive effects on the economic environment in Slovenia. The project team has in-depth knowledge in radar technology and systems controlling. This knowledge is crucial to support the growing interest of Slovenian commerce and the development of applications based on the optimization of processes that ensure economic growth and competitive industrial production. The research program will also provide direct and indirect benefits to many Slovenian companies that are already using or wishing to use radar solutions, wireless sensor networks and control of systems. Expected are positive effects on the global level. With the development of technologies that provide cost effective implementation of radar systems and robust control number of various electrical systems can be developed (for example, process industry, biomedicine, automotive, etc.). Modern approaches of a feedback system design offer a compromise between performance and frugality in terms of energy consumption and environmental protection. In the pursuit of the compromise between performance and economy in nowadays during the high transition and demand for all types of energy, sources become very challenging and hard solving problem. Many times for mentioned facts are primary criterion for the synthesis of the feedback system in the field of energy, heating systems, electromechanical transducers, automobiles and everyday devices (cooling systems, washing machines, consumer electronics, etc.). By introducing the delayed systems, the approach gained wider use in the field of remote controlled systems. The distributed control approach, teleoperation control and haptic systems, which with the rise of the new technological solutions in the field of telecommunications opens up a wider field of use both in industry as well as in the simulation test environments (simulators, remote laboratory) and medicine (teleoperation with haptic systems). Modern approaches of a feedback system design offer a compromise between performance and frugality in terms of energy consumption and environmental protection. In the pursuit of the compromise between performance and economy in nowadays during the high transition and demand for all types of energy, sources become very challenging and hard solving problem. Many times for mentioned facts are primary criterion for the synthesis of the feedback system in the field of energy, heating systems, electromechanical transducers, automobiles and everyday devices (cooling systems, washing machines, consumer electronics, etc.). In addition, improvement of the controlled system significantly contributes to the safety, reliability and usability of the systems in everyday use, such as, vehicles, navigation systems, mobile devices, consumer electronics, etc. By introducing the delayed systems, the approach gained wider use in the field of remote controlled systems. The distributed control approach, teleoperation control and haptic systems, which with the rise of the new technological solutions in the field of telecommunications opens up a wider field of use both in industry as well as in the simulation test environments (simulators, remote laboratory) and medicine (teleoperation with haptic systems).
Most important scientific results
Annual report
2013,
2014,
2015,
final report
Most important socioeconomically and culturally relevant results
Annual report
2013,
2014,
2015,
final report
