Electrical Engineering

Title: Safety Assessment for Precautionary Collision Avoidance Subtitle: A Collision Avoidance System Based on Safety-Set
Presenters: Peilin Lyu and Lizi Teng, MPSYS Opponents: Luming Wang and Yongzhao Chen Examiner: &nbsp;Nikolce Murgovski Time: Monday, 2024-11-11, 09:00 Room: E2 Room 3364 EDIT-rummet, Hörsalsvägen 11, 3rd floor Zoom link: 
<a rel="noopener" href="/Hej,%20Snälla%20hjälp%20mig%20att%20annonsera%20presentationen%20av%20ett%20examensarbete.%20Med%20vänlig%20hälsning,%20Nikolce%20%20%20Title:%20Safety%20Assessment%20for%20Precautionary%20Collision%20Avoidance%20Subtitle:%20A%20Collision%20Avoidance%20System%20Based%20on%20Safety-Set%20Presenters:%20Peilin%20Lyu%20peilinl@student.chalmers.se%20and%20Lizi%20Teng%20lizi@student.chalmers.se,%20MPSYS%20Opponents:%20Luming%20Wang%20luming@chalmers.se%20and%20Yongzhao%20Chen%20yongzhao@chalmers.se%20Examiner:%20%20Nikolce%20Murgovski%20Time:%20Monday,%202024-11-11,%2009:00%20Room:%20E2%20Room%203364%20EDIT-rummet,%20Hörsalsvägen%2011,%203rd%20floor%20Zoom%20link:%20https:/chalmers.zoom.us/j/61271593287%20Password:%20455323%20Abstract:%20%20This%20thesis%20presents%20the%20implementation%20of%20a%20precautionary%20collision%20avoidance%20system,%20centered%20on%20obtaining%20a%20safety%20set%20and%20employing%20Model%20Predictive%20Control%20(MPC)%20based%20on%20the%20safety%20set.%20The%20safety%20set,%20which%20defines%20the%20boundaries%20within%20which%20the%20vehicle%20can%20safely%20operate,%20is%20derived%20through%20optimization%20problems%20or%20analytical%20calculations.%20By%20applying%20the%20approaches,%20the%20system%20proactively%20anticipates%20and%20mitigates%20potential%20collision%20risks,%20such%20as%20hidden%20pedestrians%20emerging%20from%20blind%20spots.%20Two%20critical%20scenarios%20are%20examined:%20the%20hidden%20pedestrian%20scenario,%20where%20the%20vehicle%20must%20react%20to%20unforeseen%20obstacles,%20and%20the%20lane%20change%20scenario,%20which%20requires%20safe%20merging%20while%20considering%20nearby%20traffic.%20The%20integration%20of%20the%20precautionary%20safety-set%20with%20MPC%20allows%20the%20system%20to%20maintain%20a%20high%20success%20rate%20in%20collision%20avoidance%20while%20ensuring%20smooth%20and%20efficient%20vehicle%20operation.%20Experimental%20results%20confirm%20the%20system’s%20reliability%20and%20demonstrate%20its%20ability%20to%20maintain%20a%20high%20success%20rate%20in%20safely%20navigating%20complex%20scenarios,%20thus%20highlighting%20its%20potential%20to%20significantly%20enhance%20the%20safety%20and%20performance%20of%20autonomous%20driving%20systems.%20%20%20Welcome!%20Peilin,%20Lizi%20and%20Nikolce%20%20%20Nikolce%20Murgovski%20Professor%20Assistant%20Head%20of%20Department%20Tel:%20+46(0)31%20772%204800%20Visiting%20address:%20Hörsalsvägen%209,%20Room%205408%20Postal%20address:%20Hörsalsvägen%2011%20Department%20of%20Electrical%20Engineering%20Chalmers%20University%20of%20Technology%20SE-412%2096,%20Göteborg,%20Sweden%20https:/www.chalmers.se/en/persons/murgovsk/" target="_blank" title="ZOOM">https://chalmers.zoom.us/j/61271593287</a> Password: 455323
Abstract:&nbsp; This thesis presents the implementation of a precautionary collision avoidance system, centered on obtaining a safety set and employing Model Predictive Control (MPC) based on the safety set. The safety set, which defines the boundaries within which the vehicle can safely operate, is derived through optimization problems or analytical calculations. By applying the approaches, the system proactively anticipates and mitigates potential collision risks, such as hidden pedestrians emerging from blind spots.
Two critical scenarios are examined: the hidden pedestrian scenario, where the vehicle must react to unforeseen obstacles, and the lane change scenario, which requires safe merging while considering nearby traffic. The integration of the precautionary safety-set with MPC allows the system to maintain a high success rate in collision avoidance while ensuring smooth and efficient vehicle operation. Experimental results confirm the system’s reliability and demonstrate its ability to maintain a high success rate in safely navigating complex scenarios, thus highlighting its potential to significantly enhance the safety and performance of autonomous driving systems.&nbsp;
Welcome! Peilin, Lizi and Nikolce

Title:In-Vehicle Radar Based Heart Rate Monitoring Students: Jose Eduardo Maciel Mendoza and Xiaotian Zhang Date: 2024-11-14&nbsp; Time: 9:00-10:00 Place: E2 Room 3340 Blå rummet
Abstract: Interior radar has recently emerged as a promising technology in non-contact vital sign (NCVS) sensing. This thesis discusses the underlying principles and techniques of radar-based heart rate detection, focusing on the measurement of subtle movements of the chest wall associated with cardiac activity. By applying carefully designed filters and analyzing the radar signals, we can monitor the heart rate of high sensitivity in the time domain. After the experiment, the radar was placed in a suitable position in the car to collect clear signals, then processed the signal filters with minimum phase shift, and smoothed the signal using a Gaussian filter, finally obtained promising heartbeat signals within proper thresholds and parameters setting. The obtained radar heart rate signals matched the heart rate of the ones simultaneously acquired from the pulse sensor with an accuracy of up 96%. Our thesis has laid down the groundwork for exploring new measures for health indications in the future.
Welcome!
Jose Eduardo, Xiaotian and Xuezhi

Welcome to the master thesis presentation &nbsp;&nbsp; A Model for Simulating FCR Prequalification Tests for Kaplan Turbines by Eddie Eriksson
Thursday, November 14, 9:00- 10:00,&nbsp; Fredrik Lamm’s room, Division of Electric Power Engineering, Chalmers
Supervised by Christian Ekstrand Opponents: Martin Due Examiner: Peiyuan Chen
Abstract&nbsp; A Kaplan turbine was modeled in Simulink with the purpose of simulating prequalification tests for Frequency Containment Reserve (FCR) provision, based on technical requirements for FCR introduced in 2023. The model did not successfully predict fulfillment of steady-state requirements, and was too optimistic in its prediction of fulfillment of dynamic requirements. However, all tests predicted to fail also failed in real-world tests, indicating a potential use case in ruling out Kaplan turbines not suitable for FCR provision. A sensitivity analysis showed that simulation results were mostly unaffected by runner servo parameters, indicating a flaw in the model. Compensation with a first order low-pass filter significantly improved the accuracy of simulated dynamics. However, several model parameters, including the time constant for the low-pass filter, needed real-world tests for estimation. This reduced the likelihood of achieving high simulation accuracy ahead of conducting real prequalification tests. Using the simulated prequalification tests, methods for improving performance were explored. Both tuning the FCR controllers and the servos controlling guide vanes and runner blades were shown to improve dynamic performance, but tuning the servos improved the stability margins more. An approach to active power feedback was introduced and resulted in perfect fulfillment of the steady-state requirements. The dynamic performance requirements were not affected much, but the stability margins were severely worsened. The results suggested that fulfilling all technical requirements for FCR will be very challenging for Kaplan turbines. However, with increased market participation from other sources, this will likely not lead to insufficient FCR capacity in the near future.
Welcome!&nbsp; Eddie, Christian and Peiyuan

Title: Analysis and Study of Self-driving bikes
Time: 9:00 - 10:00&nbsp; Place: Femman 5430, plan 5-huset, E-huset or attendance by ZOOM Zoom link: <a href="https://chalmers.zoom.us/j/67633446595?from=addon">https://chalmers.zoom.us/j/67633446595?from=addon</a> Password: 495765
Presenters: Brijesh Kuduva Prakash, Harish Jayachandran, MPMOB Supervisor: Carina Björnsson, Volvo Cars&nbsp; Supervisor and Examiner: Jonas Sjöberg Opponents: Balaji Sathiya Venkata Narayanan and Muralikrishna Manickam&nbsp;
Abstract: Advancements in vehicle technologies and their active safety systems have necessitated various testing methods to ensure safety and reliability. Traditional methods using stationary bikes or simple mobile platforms lack realistic behaviour as compared to a bicyclist. Testing for bikes is crucial as cycling is a major mode of transportation for the general population. The increase in bicycles and e-scooter usage, prompts Original equipment manufacturers, to decrease and mitigate the safety risks for these users, termed as vulnerable road users. The Self-driving bike project aims to bridge this gap by developing bikes and e-scooter that mimic human riding behaviour.
These create realistic test scenarios to evaluate vehicle safety systems which is supported by a collaboration with Volvo Cars. This thesis contributes to the development of self-driving bikes and e-scooters by focusing on areas, including the remodelling of the steering motor mount for the e-scooter for improved durability, addressing cable management issues, and designing a 3D-printed roller for indoor testing of the e-scooter. Fine-tuning the steering motor through ESCON Studio and calibrating the motor contributed to optimize the steering angle range. The configuration and setting up of self-driving bikes and e-scooter for field tests at Astazero, collecting and analysing data to refine performance along with an analysis of indoor and outdoor tests, focusing on balance, steering rates, and other performance metrics under various conditions. These contributions enhance the testing mechanisms for self-driving bikes and e-scooter, bridging the gap between stationary methods and real-world scenarios.
The thesis work has been performed with Volvo Cars under Carina Björnsson.
Welcome! Brijesh, Harish and Jonas

Architecture and Civil Engineering

Bachelor’s thesis Chemistry and Chemical Engineering

Chemistry and Chemical Engineering

Communication and Learning in Science

Computer Science and Engineering

Industrial and Materials Science

Life Sciences

Mathematical Sciences

Mechanics and Maritime Sciences

Microtechnology and Nanoscience

Physics

Space, Earth and Environment

Technology Management and Economics

Presentation of master thesis

Choose subject

Course syllabus for

Subject

Each academic year contains different courses

See programme page at universityadmissions.se

Educational area

Permissible substitutions of compulsory courses

To see your programme syllabus – select the academic year in which you started the programme.

[en: page.studyprogrammepage.syllabusesview.coursesdescription]

Presentation of master thesis

Master thesis presentations at Electrical Engineering

11 November 2024

09.00-10.00 Peilin Lyu and Lizi Teng, MPSYS

14 November 2024

09.00-10.00 Jose Eduardo Maciel Mendoza and Xiaotian Zhang, MPBME

09.00-10.00 Eddie Eriksson, MPEPO

18 November

09.00-10.00 Brijesh Kuduva Prakash, Harish Jayachandran, MPMOB