Institute for Industrial Automation

Automating, operating, acting, measuring, controlling, managing

One institute,

37 employees,
8 main research areas

The activities of the Institute for Industrial Automation in terms of industrial technologies include the control of production machines, mechatronics, and signal and image processing. Expertise sorts into eight areas.

Head of the Institute

M. Michel Girardin
+41 (0)24 557 61 92

A need, an idea, a project?

iai@heig-vd.ch
www.iai.heig-vd.ch

Main research areas

Regulation and Control Techniques

Modelling of industrial processes (printing and packaging machines, textile machines, etc.), simulation, identification, control loops, performance optimization. Active vibration damping, robust control.

Integration and Robotics

Management of complex trajectories for parts and tools, automation of production stations. Cooperative mobile robotics for domestic applications, participation in RoboCup@home competitions and Robot.CH

Measurement, Sensors, Instrumentation

Signal conditioning, interface sensors, low noise, analogue to digital conversion, digital signal processing. Low power consumption, wireless data transmission, high-resolution position sensor, "self-sensing" electromagnetic actuator.

Industrial Electronics

Production of electronic equipment from prototype to final industrialized version. Analogue and digital electronics, power electronics, DSP, C. Design and production of power amplifiers for controlling motors or electromagnetic actuators. Synthesis and implementation of control algorithms and DSP-based vector control or µC.

Automation, Industrial Computing

Technical software engineering, control software, development of automation software (C++, .NET development), human-machine interfaces (HMI), real-time.
Plug-in enabled software framework to maximize reliability. Fieldbus: SERCOS, EtherCAT, etc. Electromagnetic compatibility, machine safety.

Signal and Image Processing

Methods to acquire signals and images, two-dimensional processing and scene analysis. Linear and non-linear filtering, statistical processing, linear system identification, speech processing. Linear and nonlinear image processing by mathematical morphology, segmentation, granulometry, Fourier analysis, correlation, noise removal, non-local means, recalibration. Pattern recognition, image description, statistical approach, PCA, time classification, statistical distance.

Mechatronics

Motion control, industrial electronics (signal, power, digital), hard and soft development of DSP and µC applications.


Biomedical Electronics

Advanced and electronic signal processing for biomedical applications (ultra-wideband radar, monitoring, diagnostic aid).