MSc Thesis Projects

Are you looking for an MSc project 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:

 

Parameterization of tube-based LPV MPC policies

Tube MPC (TMPC) is a paradigm proposed for the computation of model predictive controllers when the system to be controlled is subject to disturbances or uncertainty.
Read more...

Contact: Dr. M. Lazar, Dr.ir. R. Toth, ir. J. Hanema

Closed-loop / network identification under non-ideal sampling schemes

Identification methods are typically developed for fixed (equidistant-in-time) sampling schemes. The question that we would like to investigate is: how could identification be done on the basis of nonlinear elements occuring in the loop (e.g. switching elements), or when control actions take place event-triggered, rather than time-triggered, or with non-predictiable delay (e.g. through wireless communication channels). 

Contact: Prof.dr.ir. Van den Hof

Identifiability of a dynamic network on the basis of a reduced number of node signals

Given a dynamic network with partly known interconnections and dynamics, and a limited number of node signals that has been measured. We would like to develop a methodology for determining under which conditions the full network can be identified (or which part of the network can be identified) on the basis of the available node signals and (partial) prior information. 

Contact: Prof.dr.ir.P.M.J. Van den Hof

Frequency domain subspace identification for LPV systems

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. The concept of handling LPV systems in the frequency domain is underdeveloped, although in an industrial context frequency domain information of the system dynamics have paramount importance in validating the behavior of the model and this setting also allow for better understanding of controller tuning and control oriented identification. This project aims at establishing a frequency domain subspace method based on recent results.

supervisor: Dr.ir. R. Toth

Design of stable dynamic networks for simulation purposes

For our research on dynamic networks it is important to being able to create seriously sized dynamic networks, on the basis of which simulations can be performed, and therefore require a stable network. Additionally, for purpose of identification, it is important to run simulation for class of networks (e.g. by varying hte particular parameter values in a model class). In these situations stability of the network is important and needs to be guaranteed. The objective of this project is to develop a methodology for constructing a dynamic network with a growing number of elements, where in each step an additional network element is added, while guaranteeing (robust) stability of the network.

Contact: Prof.dr.ir. P.M.J. Van den Hof

Can poor models give good controllers?

An important  application of model approximation amounts to deriving simplified models for control system design. Indeed, if simulation or first-principle models become too complex to allow model-based controller synthesis, then a simplified substitute model is often helpful to enable controller synthesis. This project aims to derive novel model approximation techniques that take the performance objectives and specifications of the controlled system into account in an explicit way. This means that we aim to derive model reduction techniques that provide quantified performance and robustness guarantees on the controlled system that is synthesized on the basis of the reduced model.

Information: Prof. dr. S. Weiland

Model reduction for parameter varying systems

For many engineering problems the management of complexity of dynamical systems becomes increasingly important. Model reduction amounts to constructing  simplified models that substitute a complex one. This project aims to develop novel model reduction techniques for the special class of linear parameter varying models. Results will prove useful for situations in which fast and reliable prediction of system variables are required.

supervisor: prof.dr. S. Weiland

Discretization of PDE’s through Port-Hamiltonian Systems

Systems that evolve over space and time are typically described by partial differential equations (PDE’s) and numerically implemented by finite-element or finite volume techniques. The area of scientific computing has developed many techniques for this purpose. An important disadvantage of numerical meshing techniques is that the underlying physical meaning of the PDE’s (energy conservation, mass conservation, etc) is discarded in the discretization process. It is the (ambitious) purpose of this project to remedy this and develop discretization techniques that provide firm guarantees on energy conservation.
Contact: Prof.dr. S. Weiland

Measuring and analysing impedance spectra for photo-electrochemical cells

Photo-electrochemical cells (PEC) use solar energy to separate water into hydrogen and oxygen. These cells are therefore the perfect generators of energy for a wide scope of applications. This project aims to study the impedance spectrum of PEC cells by a novel measurement system that is available at the DIFFER institute and to use these measurements to model the PEC cell using identification techniques.
Read more...
Contact: Prof.dr. S. Weiland ; Prof.dr.ir. P.M.J. Van den Hof

Closed-loop (and distributed) identification for advanced climate control in buildings (interconnected rooms)

Computational modeling and simulation play a key role for the climate control in buildings. The aim of this project is to identify data-driven thermal and hygric models in a closed-loop settings, i.e., in a conditioned building when the controller (heating/cooling) is on. Furthermore, a building can be seen as an interconnected system of different zones (rooms), a next step is to exploit the structure and perform a distributed (network) identification considering all the interactions between different zones. For a case study, a monumental building, i.e., hermitage museum is used. 

Contact: Prof.dr.ir. P.M.J. Van den Hof

Model-predictive and distributed climate control in buildings

An accurate indoor temperature and relative humidity control is essential for the preservation of monumental buildings. Traditionally, PID controllers are employed. In this project, we explore the opportunities to use model-predictive control for individual zones of a monumental building, i.e., hermitage museum. The effect of the interaction between different zones will be studied and the question of designing a distributed climate control will be addressed.        

Contact: Prof.dr.ir. Van den Hof

Equivalent Consumption Minimisation using Stochastic Dynamic Programming

Improving vehicle energy efficiency is an important topic in automotive research. To optimally exploit the synergy between all the energy consumers in the vehicle, a supervisory control system is needed. Such a supervisory control system is called an energy management system and are typically based on the so-called equivalent consumption minimisation strategy (ECMS). The design of ECMS is typically done using heuristics. In this project, we want to improve and extend the recently proposed approach 1-Step Look-Ahead Stochastic Dynamic Programming to design an ECMS in a systematic way.

Supervisor: Tijs Donkers

Joint Voltage-Current-Temperature Modelling and Parameter Estimation in the Doyle-Fuller-Newman framework

Lithium-ion batteries are essential in various applications because of their high specific energy and long service life. Lithium-ion battery models are used for investigating the behaviour of the battery and proper power control in applications. The Doyle-Fuller-Newman (DFN) model is a popular electrochemistry-based model, which characterizes the dynamics in the battery considering mass and charge-transfer limitations in solid and electrolyte and predicts current/voltage relationship. The current model does not takes into account temperature development in the battery during operation. It is known that such temperature development can be considerable, especially in automotive applications where high currents are typical. The topic of MSc project is to extend available DFN model by thermal part, design the experiments necessary for parameters identification and, finally, identify/estimate overall set of parameters. 

Supervisors: Dmitri Danilov, Tijs Donkers

All-Solid-State thin-film Li-ion batteries: Modelling and Estimation (Jülich, Dmitri)

Modern Lithium-ion batteries are fairly considered as a most perspective energy storage device. However they suffer from various drawbacks such as poor safety and still low energy density. Both issues can be resolved when solid-state electrolytes are used instead of conventional liquid ones. That implies replacement of conventional Li-ion production technologies in favor of solid-state deposition techniques. As the result, these batteries are not described by classical Doyle-Fuller-Newman theory, therefore different modeling approach has to be employed. Recently developed model of All-Solid-State Li-ion battery. represents an example of systematic and successful approach to that problem. Developed model characterizes the dynamics in the battery considering mass and charge-transfer limitations in electrode and (solid) electrolyte layers and predicts current/voltage relationship. The topic of MSc project is to test available model against new set off measurements including commercially available and custom-made solid-state cells (experimental data will be provided by Forschungszentrum Jülich, Germany), and extend the model to accommodate mixed electronic-ionic conductivity in electrode(s) and double-layer effects. The updated model should be validated on available set of measurements. If necessary, additional experiments will be designed to identify/estimate total set of parameters.

Supervisor: Dmitri Danilov

Haptic System Modeling and Control for an Automotive Application

Future automotive displays will have haptic feedback in display surfaces to control appliances in a car.The haptic component in a display will include force sensing and an actuator to move the display so that control operations can be  “felt”. The idea is that such applications will reduce visual distractions while driving. In this system, unwanted vibrations need to be ompensated and haptic information need to be exchanged between driver and system. This project is carried out in collaboration with “Innolux”, a company that develops LCD and OLED displays. Read more...

Contact: Prof.dr. S. Weiland

Thermal model for Generic Substrate Carrier

Sioux CCM has developed a Generic Substrate Carrier (GSC). This is a module which can be integrated in all kinds of high productive printing systems to position the substrate to be printed with high accuracy and speed. Typically sizes range from A3 paper format up to panels of more than 5 m2. The range of applications for the GSC is very wide and it is used at strongly varying environmental and process conditions. In high precision machines, thermal variations negatively affect machine accuracy. Create, implement, validate a real time thermal model for the carries and to use the model for control.
Read more.

supervisor: Prof.ir. S. Weiland

Input/Output structure identification in oil reservoirs

This project is based on finding dominant input and output pairings in the modeling of oil reservoirs in order to synthetize efficient models for control of water-flooding based extraction.

supervisor: M.M. Siraj, prof. dr. P.M.J. Van den Hof

Improving convergence velocity of state and parameters estimators through model selection

The real time monitoring of the product quality in a process plant cannot be always achieved by means of hardware analyzers because of technical and economical limitations. Read more...

Contact: Dr. L. Ozkan

Base layer control of the Tennessee Eastman Process

A well-known industrial benchmark for plant-wide monitoring, control, optimization, maintenance and fault diagnosis is the Tennessee Eastman process.Read more...
Contact: Dr. L. Ozkan

Tuning for model based control systems

The goal of this project is to further improve self tuning schemes for model predictive control which can operate the closed-loop system closely to the economic constraints, hence maximizing profit.  

supervisor: dr. L. Ozkan, prof. S. Weiland

Data-driven identification of non-linear distributed parameter systems

Data-driven identification of non-linear distributed parameter systems is still in its infancy. However, given the need in industry (thermal expansion), chemistry (catalytic behavior), and physics (nuclear fusion) for the non-linear analysis of such systems. New techniques would allow for pushing the boundaries of understanding and control of such systems. Read more...

Contact: Prof.dr. S. Weiland

Omron Model Based Design project with Matlab/Simulink

Omron is a company that builds, among other things,  smart inverters and DC optimizers for the use ofenergy conversion in solar panels. This project involves the modeling of a DC/DC converter in Matlab and to  experiment with a model-based design loop in which an optimal control systems for the converter is synthesized. Focus of the project will be on the optimal control architecture and the design of an optimal power stage of the Omron Smart Inverter.
The project is carried out at the ESB department of Omron  in ‘s Hertogenbosch. read more...

Mentor: Hommad el Farissi (Omron)
Contact: Siep Weiland (TUE), Sascha Sanchez (Omron)

Mc projects in control and optimization in hyperthermia treatments

Hyperthermia is among the techniques to enhance the effectiveness of radiotherapy and chemotherapy in cancer treatments For deep tumors, without increasing side effects. A hyperthermia treatment consists of the local heating by EM radiation of a tumor for a pre-defined period of time by applying energy in tissue. The problem of these treatments is to carefully dose the electro-magnetic waves in so that tissue is heated at dedicated locations of the tumor in the tissue while avoiding the heating of nearby healthy tissue.  There are currently two assignments on this optimization problem: one related to control design, one related to observer design. These projects are carried out as a collaboration between Erasmus hospital in Rotterdam, the EM group and the CS group.

MSc project (Care & Cure): Time-varying optimization and control for hyperthermia treatments
MSc project (Care & Cure): Model-based temperature estimation for control during hyperthermia treatments

Contact: Prof.dr. S. Weiland

Non-linear MPC based on LPV embeddings

The aim of this project is to develop systematic and general design procedures that can be used to develop non-linear model predictive controllers based on linear-parameter varying (LPV) embeddings.
Read more...
Contact: Dr. M. Lazar, Dr.ir. R. Toth, J. Hanema

Control of a planar maglev precision motion system

The technology behind magnetic levitation can be employed to create next generation actuation systems that are not limited by mechanical friction  and that have extreme short response times. When equipped with appropriate control actions, these systems may achieve high levels of performance. The purpose of this project is to control a moving coil stage with log strokes in planar x and y directions and with short strokes in z and 3 rotational movements along the main rotational axes. The project aims to explore multiple control techniques to achieve high precision actuation.
Project is carried out either at TU/e or in Shanghai, China (or both).
Contact: Prof.dr. S. Weiland

Dynamic stabilization of a maglev system

Magnetic levitation systems are unstable by their very nature. This project aims to invent a universally stabilizing periodic excitation for a magnetic levitation system, with the purpose to stabilize such a system. If successful, this implies that one can stabilize an unstable maglev system without employing feedback, simple by applying (open-loop) periodic currents. Project is of fundamental nature, carried out in collaboration with Extreme Motion Technologies.
Contact: Prof.dr. S. Weiland

Multi DoF Piezoelectric Mono Layered Actuator

In a lithographic machine many elements are moved with piezoelectric actuators. Piezo actuators can extend in the length direction if an electric field is applied in the polarization direction. Read more...

Contact: Prof.dr.ir. H. Butler

Detection of nonlinear dynamics in networks

When modelling (electro)-mechanical systems the use of nonlinar modelling tools can be indispensible for accurate models. In particular joints between different mechanical parts can be the cause of nonlinear effects. In this project the objective is to develop network identification tools that on the basis of measurement data can  detect whether modules in a network have nonlinear behaviour. Experimental data is available of e.g. fighter aircrafts.        
Contact: Prof.dr.ir. P.M.J. Van den Hof

Additive Manufacturing (3D Printing) at Ultimaker

This is a proposal for at least 3 graduation projects to be carried out in the Control Systems Group at the Department of Electrical Engineering at Eindhoven University of Technology and in collaboration
with Ultimaker (Geldermalsen). The project involves modeling and control aspects of the 3-D printers that are developed at Ultimaker. read more...

Contact: Prof. S. Weiland

 

Internal Force feedback for isolation systems

In lithographic scanners, the projection optics and critical measurement systems need to be completely vibration-free, even in the presence of the high forces as produced by the scanning stages. In order to achieve this, the projection optics are connected to a frame (“metrology frame”) which is isolated from the base frame (which is connected to the floor). This isolation takes place by pneumatic suspension, to which a 6-DOF control system using Lorentz actuators, accelerometers and position sensors is added. In this assignment, the use of force sensors to reduce the effect of disturbance forces is explored. A control architecture needs to be designed that uses the existing position and acceleration sensor, and the new force sensors to minimize vibration levels at the metrology frame.

supervisor: prof.dr.ir. H. Butler

Graduation project 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. Read more.

Supervisor: Prof.dr. S. Weiland

Novel roll-to-roll web steering concept

Roll-to-roll systems are widely used for transporting web of paper, plastic or other printing media) in professional printing systems. Goal of this project is to develop a model for the transport and steering behavior of the web (medium) using newly developed actuation principles. The project involves modeling, sensitivity analysis of parameter changes due to different wem materials and dimensions and to device an optimal  control strategy for the steering behavior. More info.

supervisor: prof.dr. S. Weiland