Automation and Hydraulic Engineering - Tampere University of Technology

Research of Automation and Hydraulic Engineering

Laboratory of Automation and Hydraulics (AUT) was founded at the beginning of 2017 by merging departmet of Inteligent Hydraulics and Automation (IHA) and department of Automation Science and Engineering (ASE). One of research areas of former ASE was fusioned to Biomedical Sciences and Engineering laboratory (BMT).

History of ASE

Department of Automation Science and Engineering (ASE) was founded at the beginning of 2008 by merging the Institute of Measurement and Information Technology and the Institute of Automation and Control. From the beginning of 2016 ASE and Factory Automation Systems and Technologies Laboratory (FAST) joined together. The research in the Department has been organized into several research areas and research groups focusing on the fundamental topics of automation science and technology. Our cooperating partners come from the companies of automation, information and communications technology, process and forest industries and biotechnological industry.

History of IHA

Institute of Hydraulics and Automation has been many years leading academic research unit in the world. In years 2000 - 2005 IHA was selected as a centre of excellence of the Academy of Finland. Starting of year 2008 unit name changed to Department of Intelligent Hydraulics and Automation (IHA). In the years 2008 - 2013 the Generic Intelligent Machine (GIM) project, which was also selected as a centre of excellence of the Academy of Finland. GIM project was concentrating on basic research in the field of intelligent mobile machines. A team of researchers from Aalto University and from IHA formed GIM. The intelligent machine research group integrates energy efficiency to the research of the autonomous machines.

Research Areas

Systems thinking is our overall approach to analyze and optimize complicated, automated, and autonomous stochastic systems. The method can be utilized to design, operate, and maintain different systems to complete their assigned tasks with the optimized use of resources in a continuously evolving and partly unpredictable environment. Practical implementation of systems technology and operation requires multidisciplinary combination of our six research areas:

  • Information systems in automation
  • Digital hydraulic technology
  • Dynamic systems
  • Intelligent mobile machines
  • Measurement technology and process control
  • Remote handling

Research Groups

The development and study of detailed research theories, methods and tools of the systems technology have been organized into several research groups shown below. More than 80 researchers and research assistants are working in the research groups and projects of AUT.

  • Automation and Information Networks
  • Automation Software
  • Factory Automation
  • Image Based Measurements
  • Measurement Information
  • Personal Positioning Algorithms
  • Process Automation

Application Areas

In order to include application domain knowledge as a component in the systems design, AUT has selected certain primary application areas. The areas selected are quite distinct from one another in order to support the generic research on theories and technologies, and in their integration. The selected application areas are:

  • Digital hydraulics
  • Industrial processes
  • Systems for cell and tissue technology
  • Mobile autonomous machines
  • Mobile energy efficiency
  • Remote operations
  • Robotics

Projects

All research in the laboratory is carried out in research projects. The projects have different volumes, time spans and financing structures. The research projects are mainly financed by TEKES, Academy of Finland, EU and companies. There are several projects in progress. Some of the most important previous projects are listed and introduced on separate pages.

Publications

The research results are published in refreed scientific journals, conference papers and master and doctoral theses.

Publications of AUT.

Updated by: Janne Uusi-Heikkilä, 17.01.2017 11:12.
Content owner: Huhtala Kalevi
Keywords: science and research