Institutionen för elektroteknik och automation
Institutionen för elektroteknik och automation
Institutionen för elektroteknik och automation (förkortat EEA) är ett ekosystem där forskare från olika områden av mikrosystem, elektroteknik och automation arbetar tillsammans för att lösa de allra svåraste problemen inom områden som energi och miljö, men även hälsa och välfärd. Vi erbjuder en utmärkt utbildning och forskningsförhållanden av högsta klass.
Forskningen vid EEA är fokuserad på kraftsystem och omvandling, kontroll, robotik och autonoma system, välbefinnande och smarta levnadsmiljöer samt industriell elektronik och informatik. Institutionen spelar en stor roll i Aalto-universitetets Energy Efficiency Research-program AEF. Även Aalto ePowerHub är en del av EEA-institutionen. Läs mer om forskningen på engelska nedan.
The research done by the automatic control group is based on a firm knowledge of system theory, control engineering, simulation methods, optimisation methods, numerical algorithms, and so forth.
The group's research focuses on heavy duty semiautonomous machines and mobile robotics, mainly in agriculture and forestry. Other important methodological research topics are software design for networked automation systems and HMIs for mobile machines.
The research in our group is focused on the numerical modelling of coupled problems that occur in magnetic materials and especially electrical steel sheets used to construct electrical machines. These problems range from energy dissipation in the material to vibrations and noise of electrical machines and devices.
The Defence electronics research group concentrates on military radar hardware, related design, modelling and measuring concepts and field experiments.
We are now witnessing an explosion in networked systems: everything is connected and massive amounts of devices are required to be coordinated.
Electric drives play an important role, e.g., in a large number of industrial applications, electric and hybrid vehicles, elevators, and robotics. Electric drives are systems where the electric motors or generators are controlled by power-electronic converters (such as a frequency converter).
The group develops computational methods for multi-physics modelling of the human body.
The Research Group of Electromechanics conducts scientific research and gives highest education in the field of electromagnetic energy converters. Numerical analysis of electromagnetic fields is the core know-how of the Group.
The research in the Electronics integration and reliability unit is strongly multidisciplinary by nature. Our knowhow is based on materials science and, especially, on the understanding of interfacial phenomena between materials in heterogeneous systems.
The group develops methods and instrumentation for environmental studies.
The work of the group focuses on non-invasive monitoring of body, especially cardiovascular system, body composition and cognitive functions. The health technology projects utilize a range of disciplines - from medicine, medical engineering, nursing care and biology, to information technology.
Lighting research group’s fundamental goal is to advance the research and education of illumination engineering and electrical building services.
Our research and innovation efforts on industrial and power electronics are taking place at three complementary levels: algorithms, methods, and applications.
The group's research focuses on the engineering of software-intensive automation systems.
Intelligent Robotics group performs research in robotics, computer vision and machine learning.
Robotic Instrumets group develops miniature robotic instruments and related technologies. Those instruments and technologies can be applied to many biomedical, material and industrial applications.
Microsystems technology, as defined by our group, is a truly multidisciplinary research area. It is based on physical and analytical chemistry, biology, microelectronics, materials science and biomedical technology.
The focus areas of research in power systems and high voltage engineering are distribution networks, their system solutions and reliability engineering, power system components´ load capacity and ageing, control and monitoring systems including computer applications, automation and communication solutions, end use analysis and power quality.
Research of the group focuses to sensor informatics, adaptive signal processing, and data fusion systems especially for medical applications. Other applications include smartphone sensor fusion, robotics, positioning systems, target tracking, biomedical imaging and many other indirectly measured time-varying systems.
The aim of the group is to advance research and teaching within smart buildings.