MSc Thesis ProjectsMSc Thesis ProjectsAre 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. 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. switching elements), or when control actions take place event-triggered, rather than time-triggered, or with non-predictiable delay (e. 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. 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.
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.
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.
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.
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.
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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. 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.
Frequency domain estimation of parabolic partial differential equations with spatially varying transport coefficients This project studies transport phenomena in space and time and aims to identify spatially distributed profiles for PDE’s on the basis of frequency domain data. The project is carried out in collaborationwith DIFFER and involves applications of electron heat transport in fusion reactors.
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. , 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.
Model-predictive and distributed climate control in buildings An accurate indoor temperature and relative humidity control is essential for the preservation of monumental buildings. In this project, we explore the opportunities to use model-predictive control for individual zones of a monumental building, i. The effect of the interaction between different zones will be studied and the question of designing a distributed climate control will be addressed.
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. 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. All-Solid-State thin-film Li-ion batteries: Modelling and Estimation (J lich, 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 Developed in 180 nm CMOS technology. The use of power electronics to increase system performance in a portable thermopho- tovoltaic power generator is also investigated in this thesis. We show that mechanical non-idealities in a MEMS fabricated energy conversion device can be mitigated with the help of low-voltage .
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 J lich, Germany), and extend the model to accommodate mixed electronic-ionic conductivity in electrode(s) and double-layer effects.
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If necessary, additional experiments will be designed to identify/estimate total set of parameters. Haptic System Modeling and Control for an Automotive Application Future automotive displays will have haptic feedback in display surfaces to control appliances in a 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. State and parameter estimation based on extents transformation for Reactive Batch Distillation Columns Nowadays in the large-scale process industry, high purity of products is not only desired but crucial. Products must meet high-purity standards to conform to market and customers’ requirements.
Robust Integration of MPC and DRTO The traditional approach to the optimal economic operation of industrial processes has been the use of a hierarchically structured control system Figure 1 shows the hierarchical structure.
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 22 Dec 2012 - WritePass - Essay Writing - Dissertation Topics [TOC] [Hide Details]. WRITEPASS – ENGINEERING DISSERTATION – CUSTOM ESSAY WRITING; Chapter 1 As a result the project's effort and research into renewable energy resources on micro grid systems will contribute towards increasing energy .
In high precision machines, thermal variations negatively affect machine accuracy.
Msc thesis projects - technische universiteit eindhoven
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. 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. 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 more. 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.
Active Control (commutation) of a Pump which includes a hydro-magnetic bearing A Hydro-magentic journal bearing is an innovative type of bearing, where especially minimization of shear stress on the fluid is important in medical applications. Read more 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.
Mentor: Hommad el Farissi (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.
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). 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. 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. 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.
Conversion systems with active dc excitation - smartech - georgia tech
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 collaborationwith Ultimaker (Geldermalsen).
The project involves modeling and control aspects of the 3-D printers that are developed at Ultimaker. 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. Compensating for deformation in Selective Laser Melting products Selective Laser Melting is a field in Additive Manufacturing that is currently evolving fast.
It is a process that selectively melts metal powder with a laser. This is realized layerwise and used to make advanced 3D shapes (see Figure 1), that cannot be realized with traditional machining technologies.
The process is however complicated and the success of a build job is dependent on a lot of parameters. The parameters can be process related as laser power, writing speed, layer thickness, melting point material etc.
The parameters can also be more design related for example internal stress, overhang angle and amount of support structures. Not optimal parameters can lead to products that do not meet the requirements or even a build failure.
TNO is working on models to understand and optimize the process. 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.
Parameter identification and model validation for large-scale multiphysics models of a wafer table Currently a thermomechanical wafer and wafer table model that is based on first principles modeling has been built using the finite elements method (FEM).
As a result, a large-scale model with ~100,000 states has been created, which depends on ~20 material parameters. Identification & Control in metal jetting based additive Traditional fabrication methods involve a great deal of e ort, expense and time. In this process, a '3D printer' prints object layer by layer, permitting more creativity and control over the final shape than any other construction methods.
Read more 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.