Are you looking for an Internship in Control Systems? We have compiled the following updated (May 2017) list of topics for you, please contact the intended supervisors if you are interested:
Machine learning based control has recently received significant attention in solving control problems where model based control is not applicable due to the uncertainty or the high complexity of the involved phenomena. The project aims at comparing learning control based methods like Gaussian Control, Apprenticeship Control, etc. on laboratory test setups.
Supervisor : dr. ir. R. Toth.
Contact: Dr.ir. R. Toth
LPV control study
Linear Parameter-Varying (LPV) models allow to represent nonlinear / time-varying systems in terms of a linear structure, allowing the extension of LTI identification and control synthesis methods to handle such dynamical phenomena efficiently. This project aims at comparing state-of-the-art approaches of control design from the local (gain-scheduling) and global (LFR based control, polytopic controllers) on laboratory test setups. Supervisor : Roland Toth.
Contact: Dr.ir. R. Toth
LPV identification study
Linear Parameter-Varying (LPV) models allow to represent nonlinear / time-varying systems in terms of a linear structure, allowing the extension of LTI identification and control synthesis methods to handle such dynamical phenomena efficiently. Currently a toolbox is developed to implement the state-of-the-art data-driven LPV modeling methods. This project aims at assisting the Matlab implementation of these methodologies and providing a thorough comparative study of their performance on laboratory test setups. Supervisor : Roland Toth
Contact: Dr.ir.. R. Toth
Switching pattern optimization for stationary and transitory operation of B3C enabled converters
Automated code generation and verification of reference tracking controllers with constraint handling guarantees
Scenario based optimization of polynomial controllers for power converters
Distributed analog PD control of high-order filters
Implementation of Model-Driven Electricity Load Forecasting Algorithm in JAVA
This traineeship consists of two tasks: the first amounts to converting a probabilistic load forecasting algorithm that has been developed in Matlab to Java. The second task amounts to comparing the forecasting accuracy of this algorithm
with an existing algorithm that has been developed with Enexis. It is pointed out that Enexis pays for the completion of the first task. Requirement: Good experience with JAVA programing. Read more...
Contact: Prof.dr. S. Weiland
Modelling smart battery charger system
NXP Semiconductors (www.nxp.com)is a large and international semiconductor company that delivers Integrated Circuits (ICs) for a wide range of applications ranging from mobile (mobile phones) and security-based (banking cards, etc) applications to automotive applications (sensors, communication, microcontrollers). Read more...
Contact: Prof.dr.ir. H.J. Bergveld
Relaxor ferroelectric piezoelectric and electrostrictive materials
Self-sensing in a piezo pneumatic valve
Kinematics and Kinetics over time/parameter-varying systems
Application Support Engineer Intern at MathWorks Eindhoven
During your internship at the MathWorks, which was voted the 6th best Technical Company to work by Glassdoor, you will be working from the Eindhoven office with MATLAB and Simulink every day. The goal will be for you to do 2 things:
- Design, create and update an eye catching technical demonstration with Hardware that illustrates the value the MathWorks toolchain that can be leveraged at tradeshows by the MathWorks sales team. Today it is possible to generate code from Simulink to change the control strategy on the AR Drone 2.0. We would like you to have the Drone follow a green ball automatically.
- Work with MATLAB as a data analytics platform helping further develop internal reporting tools
Extreme Accurate Piezo Strain-sensor
In a lithographic machine accurate positioning of the wafer, on the wafer stage, is critical. The rigid-body motion of this stage is measured by encoders or an interferometer system. But next to this rigid-body mode, also flexible (deformation) modes play a role. Read more...
Contact: Prof.dr.ir. H. Butler
Linear Parameter Varying (LPV) modeling of a vehicle in free flight
To improve the estimated aerodynamic coefficients based on free flight data, the proposed approach aims at constructing a Linear Parameter-Varying (LPV) model derived from the known nonlinear equations describing the behavior of a vehicle in free flight. In that direction, the objective of the internship is to investigate the existing linearization methods in order to select the best suited to the construction of the LPV model. This model will be implemented in a MATLAB/ Simulink environment and can be tested and validated using the measured signals of different architectures as re-entry space vehicles or projectiles.
Contact: dr.ir. R. Tóth (r.toth@) tue.nl
3D Food Printing
TNO has been active in the area of 3D printing for over 20 years. Initially 3D printing was used for technical applications (general prototyping, aerospace & automotive engineering) and employed a limited set of materials, typically various types of plastics and metals.
3D printing, however, is finding its way into new areas and over the past 5-6 years TNO has become the world leader in the area of 3D food printing. Food printing not only enables the creation of novel products with interesting shapes, but it also allows the creation of fully personalized nutrition or the creation of novel (micro)structures that can lead to new food textures and food experiences.
Contact : Prof. dr. S. Weiland
Modelling of Battery Ageing
In this assignment, the student is responsible for setting up a model for battery ageing. The current battery model of VDL ETS is a cell model for describing its electrical (charging/discharging) and thermal behaviour. On top of th is, you will investigate ageing behaviour of battery cells and general a model. You will advise our engineering, with the help of this model, on extra measurements for ageing behaviour investigation.
Supervisors : Anouk Hol ( VDL ETS), Tijs Donkers
Contact: Dr.ir. T. Donkers
Definition & Optimisation of a Mild-Hybrid City Bus Control Strategy
Scope of the work:
* Analysis of the mild hybrid system (currently in prototyping phase)
* Definition of Mild Hybrid system performance indicators
* Optimisation of the control strategy based on current systems specifications and in-use loads
* Performance evaluation of the strategy chosen with help of data retrieved from the vehicle
Supervisors: Anouk Hol (VDL Bus and Coach), Tijs Donkers
Contact: Dr.ir. T. Donkers
Experimental Validation and Comparison of State-of-Charge and Temperature-estimation Algorithms for Li-ion Batteries
Li-ion battery technology is, due to properties such as high energy density, a growing and very promising technology for enabling and accelerating many sustainable and renewable solutions in society, such as energy storage and sustainable transport. For safe and proper operation of Li-ion batteries, estimation of the battery State-of-Charge (SoC) and Temperature (T) is needed. This project aims at implementing, experimentally validating and comparing existing SoC and T-estimation algorithms using the battery test setup at the Control-Systems lab. Moreover, this is the first opportunity to test a new T-estimation algorithm which does not need temperature sensors, but uses impedance measurements for retrieving the battery temperature.
Supervisors: Henrik Beelen, Tijs Donkers
Contact: Dr.ir T. Donkers
Improved battery management in small-sized Li-ion battery packs
Cleantron is a battery-pack manufacturer located in Nieuw Vennep, near Schiphol, the Netherlands (www.cleantron.nl). Main applications that packs are designed for are e-mobility (scooters, light electrical vehicles), healthcare (electrical wheelchairs, small carts), industrial equipment (e.g. cleaning machines) and solar off-grid storage batteries. Pack voltages are usually 24V or 48V. Cleantron has the desire to improve battery management by using individual cell measurements inside the pack, including also cell impedance measurements. At the TU/e, we have a research programme running on battery management, where based on measured battery voltage, current, impedance and outside temperature the internal states, including the internal temperature based on the measured impedance, are derived. This internship builds on two earlier TU/e CS internships at Cleantron and aims at implementing our latest state and temperature estimation algorithms in an actual microcontroller inside the pack, using new cell-based electronics that also assess the cell impedance.
Supervisors: Maurice van Giezen, Maarten Kelder (Cleantron), Henk Jan Bergveld
Contact: Prof.dr.ir. H.J. Bergveld