SACM - United States of America
Permanent URI for this collectionhttps://drepo.sdl.edu.sa/handle/20.500.14154/9668
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Item Restricted Highly Resonant Nonlinear Wireless Power Transfer for Dynamic Charging(Saudi Digital Library, 2026) Alothman, Abdullah; Mortazawi, AmirThis dissertation investigates the use of nonlinear resonance to enhance the performance and robustness of near-field resonant wireless power transfer (WPT) systems. In general, WPT systems are sensitive to transmitter and receiver misalignment and distance variation, limitations that are particularly critical for applications such as implantable medical devices or electric vehicle charging, where stable power delivery is essential. The approach investigated in this research allows WPT systems to inherently achieve high efficiency and stable power delivery under dynamic operating conditions. A single-nonlinearity resonant WPT topology is developed for the first time for powering a left ventricular assist device (LVAD), introducing a novel methodology for synthesizing nonlinear characteristics to achieve a distance-robust operation. The proposed methodology is then applied to a dual-nonlinear resonator architecture, enabling the simultaneous stabilization of the output power and input impedance while suppressing frequency bifurcation without requiring frequency tracking. Furthermore, a complete characterization of the WPT system in terms of DC-DC performance was conducted. Overall, the proposed framework offers a scalable, passive, and self-adaptive solution for WPT in dynamic and mobile environments.12 0Item Restricted LOW SENSITIVITY DESIGN OF NONLINEAR SYSTEMS USING LINEARIZED MODELS(Wichita State University, 2024-05-17) Alotaibi, Jameelah Saad; Delillo, ThomasLow sensitivity linearized models ensure that the predictability and stability of nonlinearized models are achieved in a very assertive manner. The stability, which characterizes the trajectory in terms of equilibrium point, is of utmost importance. It should be noted that an equilibrium is considered asymptotically stable when there is a Lyapunov function present. One must not overlook the fact that the linear optimal state feedback for quadratic criteria, which do not include sensitivity, has the remarkable ability to automatically reduce sensitivity. It is an undeniable fact that the maximization of performance measures or the minimization of cost functions plays a crucial role in ensuring optimization. The primary focus of the research conducted was to significantly reduce the adverse impact of uncertainty on low sensitivity nonlinear models. To achieve this, a single perturbation technique was employed to convert the high-order system into a reduced model. This approach not only simplifies implementation but also effectively mitigates the impact of uncertainty. Additionally, the application of the KF estimator further enhances the reliability of the methodology. In this particular case, the static output feedback gain emerges as a more static and reliable output feedback control method that eliminates the need for an observer to estimate the states of system.24 0