Student Projects

ALT

Novel-type high-precision optical instruments used for Earth observation missions require a very high pointing accuracy. Line-of-sight stability requirements constrain the admissible level of mechanical vibration on board spacecraft. Micro-disturbances are a phenomenon caused by satellite systems such as reaction wheels, thrusters, cryocoolers or solar array drive mechanisms. The term micro-disturbance refers to a mechanical vibration with low amplitude, typically occurring at frequencies from 1 Hz up to 1 kHz. These disturbances can substantially degrade the performance of sensitive payloads such as antennas, cameras or laser communication terminals. A hybrid active-passive micro-disturbance isolation platform has been developed at CSEM Neuchâtel in the frame of an ESA-funded PhD thesis. The modular demonstration platform consists of an adjustable number of passive dampers, a set of proof mass actuators creating a 6 DoF force tensor and an interface allowing to carry different types of payloads. A rapid prototyping platform is used for testing and optimization of different control algorithms.

The goal of this semester project is to perform a system identification of the platform at different operation points to synthesise a frequency-domain uncertainty model. Classical data-driven uncertainty identification approaches shall thereby be compared to a novel approach based on integral quadratic constraints (IQC). This method consists in finding the best linear approximation model combined with an elliptic uncertainty set. A comparison of the two methods in terms of performance and conservatism shall be made. The developed models shall be used in a later step for model-free control design (out of the scope of the semester project).

The experimental work shall be carried out in the Sensing&Control laboratory at CSEM Neuchâtel and the data processing and modelling can be performed at the Laboratoire d’Automatique at EPFL.

Professor(s)
Alireza Karimi, Elias Sebastian Klauser
Site
https://www.csem.ch/technical-focus/scientific-instruments

The large-scale integration of distributed power-electronic devices has rendered modern power systems difficult to be explicitly and accurately modeled through first principle or system identification. Meanwhile, the ubiquitous smart meters and smart sensors in power systems give us the access to a substantial amount of data. The behavioral approach, representing the system dynamics with trajectory data, lend itself to the analysis and control of complex power systems owing to non-parametric representation.

This project aims to design controller for complex microgrids using behavioral approach. First, the student can determine a specific task in microgrids, and start with the noise-free cases. Then, control methods against noisy measurement will be investigated. The performance of controllers will be validated and compared by simulation.

This project can either be a semester project or a master project.

Professor(s)
Alireza Karimi
Administration
Isabelle Stoudmann Schmutz
ALT

In this project, the objective is first identify a model for a 3-Degree-Of-Freedom (3DOF) hover based on conventional techniques in system identification. To do so, first, a code to run the system using LABVIEW should be written and deployed on MyRIO.

Moreover, all the electrical connections should also become compatible for running the system.

The code for system identification should be flexible to select different excitation such as PRBS, white noise, single tone sinusoidal and sin-sweep. The second part of the project includes designing a controller using the methods of advanced control such as H-infinity and data-driven method and then applying on the device using an appropriate labview code and validate the performance.

Comment
Assistant: Vaibhav Gupta
Professor(s)
Alireza Karimi, Vaibhav Gupta
Administration
Isabelle Stoudmann Schmutz
Site
la.epfl.ch
ALT

In this project, the objective is first identify a model for a ball and plate system based on conventional techniques in system identification. To do so, first, a code to run the system using LABVIEW should be written and deployed on MyRIO. Moreover, all the electrical connections should also become compatible for running the system. The code for system identification should be flexible to select different excitation such as PRBS, white noise, single tone sinusoidal and sin-sweep. The second part of the project includes designing a controller using the methods of advanced control such as H-infinity and data-driven method and then applying on the device using an appropriate LABVIEW code and validate the performance.

Comment
Assistant: Vaibhav Gupta
Professor(s)
Alireza Karimi, Vaibhav Gupta
Administration
Isabelle Stoudmann Schmutz
Site
ddmac.epfl.ch, la.epfl.ch