Identification & State Estimation for Lithium-ion Batteries: Hysteresis & Online OCV Estimation for NMC/Si-C Cells

Lithium-ion batteries are the dominant electrochemical energy storage device and are a key enabler of portable electronics and electric vehicles. However, the technology is often criticized for its use of rare metals. Extending the lifetime of lithium-ion batteries can allow for more time to develop rare metal recycling efforts but this requires...

Noise robustness improvement of reset control systems using measurement line filtering

Inherent limitations of linear control, including PID, are Bode's phase-gain relationship and the waterbed-effect. Literature showed that reset control can overcome these limitations. The 'Constant in Gain, Lead in Phase' (CgLp) reset element was developed, which can be used in combination with a conventional PID approach. The benefit is that...

Magnetic field SLAM: using an inertial human motion suit and reduced rank Gaussian process regression

Indoor localisation is a growing field of interest in recent studies. While GPS (global positioning system) is a standard for outdoor localisation, no such solution exists for indoor applications. The literature provides several methods to obtain the location of indoor systems, often using optical sensors. A small number of recent studies use...

Multi-leader Adaptive Cruise Control Systems considering Sensor Measurement Uncertainties based on Deep Reinforcement Learning

Adaptive Cruise Control (ACC) relieves human drivers’ tasks by taking over the control of the throttle and braking of the vehicles automatically. However, it has been demonstrated in many empirical studies that current production ACC systems fail to guarantee string stability. It is believed that if vehicles can take the longitudinal dynamics...

Dynamic behaviour of a propulsion plant and its controller: with Hardware In the Loop

The shipping industry is forced to reduce its emissions and underwater radiated noise in order to decrease the impact on the environment and limit global warming. Moreover, a low acoustic signature can be lifesaving for a navy ship, especially during submarine on mine threats. To be able to operate as flexible as possible under these threats, a...

Attitude Estimation of a Quadcopter with one fully damaged rotor using on-board MARG Sensors

Quadcopters are becoming increasingly popular across diverse sectors such as mapping, photography, or surveillance. Since rotor damages occur frequently, it is essential to improve the attitude estimation and thus ultimately the ability to control a damaged quadcopter. The Control and Simulation group of TU Delft developed a quadcopter...

Recursive Tensor Network Bayesian Learning of Large-Scale LS-SVMs

Least-squares support-vector-machines are a frequently used supervised learning method for nonlinear regression and classification. The method can be implemented by solving either its primal problem or dual problem. In the dual problem a linear system needs to be solved, yet for large-scale problems this can be impractical as current methods...

Bayesian estimation in a bidimensional Ornstein-Uhlenbeck process

The goal of this thesis is to estimate parameters in a bidimensional Ornstein-Uhlenbeck process, namely a diffusion model which can be found in Favetto and Samson (2010), which considers plasma and interstitium concentrations. We first look at a general linear stochastic differential equation and some properties. Then we simulate possible paths...

Impact of Wrong Ambiguity Fixing on GNSS Positioning

Global Navigation Satellite System (GNSS) has been developed in recent several decades, which provides a new technique for timing, positioning and navigation. And GNSS positioning is a basic service to us, both in daily life and scientific research. During high-precise positioning, ambiguity resolution is a key factor that has a huge influence...

Feasibility of seasonal storage of green gas in Dutch geological formations

In a world with growing energy consumption, and concerns over climate quality, new ways of producing and storing clean energy is more relevant than ever. Storing ‘green’ gas (e.g. methane) is a new concept building on well-established fundamentals. Using renewable energy, through electrochemical processes (i.e. electrolysis), hydrogen is first...

Time domain force identification: for noise and vibration prediction in vehicles

In many engineering fields it is beneficial to obtain information about the force acting on a dynamical system. As measurement of this force is often difficult or impossible a technique that identifies this force in an alternative manner is desired. A wide variety of methods is available in literature. Obtaining this force in the frequency...

Sensor Fusion and Observer Design for Dynamic Positioning

The fusion of measurements from distributed sensors for dynamic positioning (DP) system based on state estimation algorithms is studied in this thesis in order to increase the accuracy and redundancy of the reference system in DP and a state observer is also designed to estimate of the low frequency vessel motion for the input of DP controller....

Grey-Box System Identification of a Quadrotor Unmanned Aerial Vehicle

Calibration of different interest rate models for a good fit of yield curves

One of the first mathematical models to describe the interest rate over time was the Vasicek model (1978). Soon after, the Cox Ingersoll Ross (CIR) model (1985) was introduced. The Vasicek model and the CIR model belong to the family of short interest rate models. Through transformation these models can be applied to compute the interest rate...

Kalman filter in the Real Time URBIS model

For the Rijnmond area around Rotterdam, there is a model which simulates the concentration NOx. NOx forms the basis of smog and causes trouble for the eyes and lungs. In the thesis, the model simulation are connected to series of measurements. With this connection, the uncertainty of the simulation will be reduced. The method for this reduction...

Moblie Rail Survey System: Een nauwkeurig en betrouwbaar systeem voor spoormetingen?

The implementation and evaluation of a Kalman filter in MIAS

This report describes least squares estimation (LSE) and Kalman filtering in integrated navigation. The Kalman filter and its underlying principles are treated. The implementation of a Kalman filter in MIAS is investigated, and two different Kalman filters are developed. The problems that occur in a hybrid environment as the asynchronicity of...