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Every year, approximately 34,000 individuals are fatally injured in crashes on US roads [1]. These fatalities occur across many types of crash scenarios, each with its own causation factors. One way to prioritize research on a preventive technology is to compare the number of occupant fatalities relative to the total number of occupants involved in a crash scenario. Four crash modes are overrepresented among fatalities: single vehicle road departure crashes, control loss crashes, cross-centerline head-on crashes, and pedestrian/cyclist crashes [2]. Interestingly, three of these crash scenarios require the subject vehicle to depart from the initial lane of travel. Lane departure warning (LDW) systems track the vehicle lane position and can alert the driver through audible and haptic feedback before the vehicle crosses the lane line. Lane departure prevention (LDP) systems can perform an automatic steering maneuver to prevent the departure. Another method of prioritizing research is to determine factors common among the fatal crashes. In 2017, 30.4% of passenger vehicle crash fatalities involved a vehicle rollover [1]. Half of all fatal single vehicle road departure crashes resulted in a rollover yet only 12% of fatal multi-vehicle crashes involved a rollover [1]. These often occur after the driver has lost control of the vehicle and departed the road. Electronic stability control (ESC) can provide different braking to each wheel and allow the vehicle to maintain heading. While ESC is a promising technology, some rollover crashes still occur. Passive safety systems such as seat belts, side curtain airbags, and stronger roofs work to protect occupants during rollover crashes. Seat belts prevent occupants from moving inside the occupant compartment during the rollover and both seat belts and side curtain airbags can prevent occupants from being ejected from the vehicle. Stronger roofs ensure that the roof is not displaced during the rollover and the integrity of the occupant compartment is maintained to prevent occupant ejection. The focus of this dissertation is to evaluate the effectiveness of vehicle-based countermeasures, such as lane departure warning and electronic stability control, for preventing or mitigating single vehicle road departure crashes, cross-centerline head-on crashes, and single vehicle rollover crashes. This was accomplished by understanding how drivers respond to both road departure and cross-centerline events in real-world crashes. These driver models were used to simulate real crash scenarios with LDW/LDP systems to quantify their potential crash reduction. The residual crashes, which are not avoided with LDW/LDP systems or ESC, were analyzed to estimate the occupant injury outcome. For rollover crashes, a novel injury model was constructed that includes modern passive safety countermeasures such as seat belts, side curtain airbags, and stronger roofs. The results for road departure, head-on, and control loss rollover crashes were used to predict the number of crashes and injured occupants in the future. This work is important for identifying the residual crashes that require further research to reduce the number of injured crash occupants. / Doctor of Philosophy / Every year in the US, approximately 34,000 individuals are fatally injured in many different types of crashes. However, some crash types are more dangerous than other crash types. Drift-out-of-lane (DrOOL) road departure crashes, control loss road departure crashes, head-on crashes, and pedestrian crashes are more likely to result in an occupant fatality than other crash modes. In three of these more dangerous crash types, the vehicle departs from the lane before the crash occurs. Lane departure warning (LDW) systems can detect when the vehicle is about to cross the lane line and notify the driver with beeping or vibrating the steering wheel. A different system, called lane departure prevention (LDP), can provide automatic steering to prevent the vehicle from leaving the lane or return lane. In control loss crashes, the vehicle's motion is in a different direction than the vehicle's heading. During control loss, it is easier for the vehicle to roll over which is very dangerous. Electronic stability control (ESC) can prevent control loss by applying selective braking to each tire to keep the vehicle's motion in the same direction as the vehicle's heading. If a rollover still occurs, vehicles are equipped with passive safety systems and designs such as seat belts, side curtain airbags, and stronger roofs to protect the people inside. Seat belts can prevent occupants from striking the vehicle interior during the rollover and both seat belts and side curtain airbags can prevent occupants from being ejected from the vehicle. Stronger roofs ensure that the roof is not displaced during the rollover to prevent occupants from being ejected from the vehicle. The focus of this dissertation is to estimate how many crashes LDW, LDP, and ESC systems could prevent. This was accomplished by understanding how drivers respond after leaving their lane in real crashes. Then, these real crash scenarios were simulated with an LDW or LDP system to estimate how many crashes were prevented. The occupants of residual crashes, which were not prevented by the simulated systems, were analyzed to estimate the number of occupants with at least one moderate injury. Understanding which crashes and injuries that were not prevented with this technology can be used to decide where future research should occur to prevent more fatalities in road departure, head-on and control loss crashes.

Vehicle characteristics have a significant impact on handling, stability, and rollover propensity. This research is dedicated to furthering the research in and modeling of vehicle dynamics and parameter estimation. Parameter estimation is a challenging problem. Many different elements play into the stability of a parameter estimation algorithm. The primary trade-off is robustness for accuracy. Lyapunov estimation techniques, for instance, guarantee stability but do not guarantee parameter accuracy. The ability to observe the states of the system, whether by sensors or observers is a key problem. This research significantly improves the Generalized Polynomial Chaos Extended Kalman Filter (gPC-EKF) for state-space systems. Here it is also expanded to parameter regression, where it shows excellent capabilities for estimating parameters in linear regression problems. The modeling of ground vehicles has many challenges. Compounding the problems in the parameter estimation methods, the modeling of ground vehicles is very complex and contains many difficulties. Full multibody dynamics models may be able to accurately represent most of the dynamics of the suspension and vehicle body, but the computational time and required knowledge is too significant for real-time and realistic implementation. The literature is filled with different models to represent the dynamics of the ground vehicle, but these models were primarily designed for controller use or to simplify the understanding of the vehicle’s dynamics, and are not suitable for parameter estimation. A model is devised that can be utilized for the parameter estimation. The parameters in the model are updated through the aforementioned gPC-EKF method as applies to polynomial systems. The mass and the horizontal center of gravity (CG) position of the vehicle are estimated to high accuracy. The culmination of this work is the estimation of the normal forces at the tire contact patch. These forces are estimated through a mapping of the suspension kinematics in conjunction with the previously estimated vehicle parameters. A proof of concept study is shown, where the system is mapped and the forces are recreated and verified for several different scenarios and for changing vehicle mass. / Ph. D.

In 2004, students at the University of Guelph designed and constructed an all-wheel-drive Formula SAE vehicle for competition. It utilized an electronically-controlled, hydraulic-actuated limited slip center coupling from Haldex Traction Ltd, to transfer torque to the front wheels. The initial control system design was not comprehensively conceived, so there was a need for a thoroughly developed control system for the all-wheel-drive actuator augmented with commonly available sensors and a low cost controller. This thesis presents a novel all-wheel-drive active torque transfer controller using a neural network estimated slip angle velocity. This controller specifically targets a racing vehicle by allowing rapid direction changes for maneuverability but damping slip angle changes for increased controllability. The slip angle velocity estimate was able to track the actual simulated value it was trained against with excellent phase matching but with some offsets and phantom spikes. Using the estimated slip angle velocity for control realized smooth control output, excellent stability, and a fast turn-in yaw response on par with rear-wheel-drive configurations. A full vehicle simulation with software-in-the-loop testing for control software was also developed to aid the system design process and avoid vehicle run time for tuning. This design flow should significantly decrease development time for controls algorithm work and help increase innovation within the team.

Η παρούσα διπλωματική εργασία έχει ως στόχο την αντιμετώπιση των ηλεκτρομηχανικών ταλαντώσεων οι οποίες εμφανίζονται σε μία σύγχρονη γεννήτρια παραγωγής Ηλεκτρικής Ενέργειας μετά από διαταραχές. Ο συμβατικός έλεγχος για τη διατήρηση της μηχανής σε συγχρονισμό μετά από ξαφνικές αλλαγές φορτίου, βραχυκυκλωμάτων, κλείσιμο διακοπτών ή οποιασδήποτε κατάστασης που μπορεί να προκαλέσει αστάθεια στο Σύστημα της Ηλεκτρικής Ενέργειας, γίνεται με χρήση ελεγκτικών διατάξεων Σταθεροποιητών Συστημάτων Ισχύος σε συνδυασμό με τον Αυτόματο Ρυθμιστή Τάσης (ΑΡΤ/ΣΣΙ). Σκοπός της εργασίας αυτής είναι να σχεδιαστούν και να ρυθμιστούν κατάλληλα οι διατάξεις αυτές, ώστε να εξασφαλίζεται η απόσβεση των ηλεκτρομηχανικών ταλαντώσεων που εμφανίζονται ανάμεσα στην γεννήτρια και το υπόλοιπο σύστημα. Στην εργασία αυτή, αρχικά γίνεται μια εισαγωγή στα είδη των ηλεκτρομηχανικών ταλαντώσεων και την ευστάθεια για δυναμικά Συστήματα Ηλεκτρικής Ενέργειας. Στη συνέχεια αναπτύσσεται το δυναμικό μοντέλο ενός απλού συστήματος μιας γεννήτριας άπειρου ζυγού βασισμένο στο απλοποιημένο μοντέλο 4ης τάξης της σύγχρονης μηχανής. Επειδή το μοντέλο αυτό είναι μη γραμμικό προχωράμε στην εξαγωγή του γραμμικοποιημένου μοντέλου που θα μας βοηθήσει για τον σχεδιασμό του κατάλληλου ελεγκτή. Αξιοποιώντας ιδιότητες του μοντέλου παρουσιάζεται μια συστηματική μέθοδος σχεδίασης του Σταθεροποιητή Συστήματος Ισχύος που είναι βασισμένη στη λογική των ολοκληρωτικών υπολοίπων. Τέλος με τη βοήθεια του λογισμικού SIMULINK του MATLAB προσομοιώνεται το σύστημα σύγχρονης γεννήτριας συνδεδεμένης σε άπειρο ζυγό, που ελέγχεται με την χρήση του Αυτόματου Ρυθμιστή Τάσης και του Σταθεροποιητή Συστήματος Ισχύος σε κατάσταση τυπικής φόρτισης. Εφαρμόζοντας διαταραχές στο σύστημα παρατηρείται η απόκριση του συστήματος και εκτιμάται η λειτουργία του ελεγκτή. / This thesis aims to address the electromechanical oscillations which appear in a synchronous generator after disturbances. The conventional control for maintaining the machine synchronized after sudden load changes, short circuits, switching or any condition which may cause instability phenomena, is achieved by the use of control circuits such as Power System Stabilizers combined with the Automatic Voltage Regulator ( PSS / AVR). The purpose of this work is to design and configure properly these control circuits to ensure the reduction of electromechanical oscillations that occur between the generator and the rest of the system. In the beginning this thesis, an introduction of the types of power system electromechanical oscillations and stability is being discussed. Afterwards, the dynamic model of a simple system of a generator infinite-bus based on simplified 4th order of synchronous machine is being developed. Due to the model nonlinearities, we export the linearized model which helps us to design a suitable controller. Taking into account the model properties, we provide a systematic method for designing a Power System Stabilizer based on the residues method. Finally, using the MATLAB-SIMULINK software, the synchronous generator infinite-bus system is simulated which is controlled by an Automatic Voltage Regulator and a Power System Stabilizer. After applying disturbances, the system response is driven and analyzed along with the controller functioning.

[pt] Esta dissertação aborda conceitos interdisciplinares de Engenharia Mecânica e Engenharia de Software, com foco principal no estudo de sistemas mecânicos. Atualmente, operações de monitoração por meio de veículos autônomos se tornam cada vez mais comuns, enquanto os ambientes a que esses veículos robóticos são submetidos passam a ser cada vez mais hostis, principalmente em relação aos obstáculos e características dos terrenos. O presente trabalho introduz o desenvolvimento de um simulador dinâmico em 3D em tempo real para veículos robóticos em terrenos acidentados. Um algoritmo de interseção é desenvolvido entre um terreno 3D genérico e cada roda de um veículo. Um modelo de força de contato pneu-terreno é implementado, levando em consideração as combinações das derivas longitudinal e lateral. O modelo também inclui os efeitos de corrente contínua de motores, levando-se em consideração a interação entre a parte mecânica e a elétrica, inclusive uma aproximação contínua do modelo de atrito de LuGre, considerando as limitações de potência das baterias do sistema. O simulador também inclui equações para um controle de estabilidade 2D, levando em consideração apenas a estabilização do ângulo de arfagem (pitch) do veículo. Este trabalho propõe, além disso, um controle de estabilidade 3D utilizando um indicador de estabilidade que pode ser calculado em tempo real, baseado em uma estimativa de distribuição de forças de contato entre roda e terreno. O simulador é validado mediante comparações com soluções analíticas do comportamento longitudinal do veículo robótico. / [en] This dissertation approaches interdisciplinary concepts of Mechanical Engineering and Software Engineering, with a main focus on the study of mechanical systems. Nowadays, the task of monitoring with autonomous vehicles has become more and more common, while the environment to which those robot vehicles are exposed becomes more and more hostile, mainly in relation to the obstacles and characteristics of the terrain. The present work introduces the development of a 3D real-time dynamic simulator of robot vehicles on rough terrain. An intersection algorithm is developed between a 3D generic terrain and each wheel of a vehicle. A tire-soil contact force model is implemented, taking into consideration the combined longitudinal and lateral drifts. The model includes the effects of direct current motors, taking into consideration the interaction between mechanical and electric parts, including a continuous approximation of LuGre’s friction model, considering the power limitations of the system batteries. The simulator also includes an equation for a 2D stability control, taking into consideration only the stabilization of the pitch angle of the vehicle. This work also proposes a 3D stability control using an indicator of stability that can be calculated in real time, based on an estimated distribution of wheel-terrain contact forces. The simulator is validated through comparisons with analytic solutions of the longitudinal behavior of the robot vehicle.

Goal of this semestral thesis is development of chassis electronic stability control ESP. Thesis analyze kinematic model of chassis, design of dynamic model, which is used for simulation of designed systems. Final system will be used in Formule Student monopost.

<div>The design of advanced integrated circuits (ICs) and systems calls for multiphysics and large-scale modeling and simulation methods. On the one hand, novel devices and materials are emerging in next-generation IC technology, which requires multiphysics modeling and simulation. On the other hand, the ever-increasing complexity of ICs requires more efficient numerical solvers.</div><div><br></div><div>In this work, we propose a multiphysics modeling and simulation algorithm to co-simulate Maxwell's equations, dispersion relation of materials, and Boltzmann equation to characterize emerging new devices in IC technology such as Cu-Graphene (Cu-G) hybrid nano-interconnects. We also develop an unconditionally stable time marching scheme to remove the dependence of time step on space step for an efficient simulation of the multiscaled and multiphysics system. Extensive numerical experiments and comparisons with measurements have validated the accuracy and efficiency of the proposed algorithm. Compared to simplified steady-state-models based analysis, a significant difference is observed when the frequency is high or/and the dimension of the Cu-G structure is small, which necessitates our proposed multiphysics modeling and simulation for the design of advanced Cu-G interconnects. </div><div><br></div><div>To address the large-scale simulation challenge, we develop a new split-field domain-decomposition algorithm amenable for parallelization for solving Maxwell’s equations, which minimizes the communication between subdomains, while having a fast convergence of the global solution. Meanwhile, the algorithm is unconditionally stable in time domain. In this algorithm, unlike prevailing domain decomposition methods that treat the interface unknown as a whole and let it be shared across subdomains, we partition the interface unknown into multiple components, and solve each of them from one subdomain. In this way, we transform the original coupled system to fully decoupled subsystems to solve. Only one addition (communication) of the interface unknown needs to be performed after the computation in each subdomain is finished at each time step. More importantly, the algorithm has a fast convergence and permits the use of a large time step irrespective of space step. Numerical experiments on large-scale on-chip and package layout analysis have demonstrated the capability of the new domain decomposition algorithm. </div><div><br></div><div>To tackle the challenge of efficient simulation of irregular structures, in the last part of the thesis, we develop a method for the stability analysis of unsymmetrical numerical systems in time domain. An unsymmetrical system is traditionally avoided in numerical formulation since a traditional explicit simulation is absolutely unstable, and how to control the stability is unknown. However, an unsymmetrical system is frequently encountered in modeling and simulating of unstructured meshes and nonreciprocal electromagnetic and circuit devices. In our method, we reduce stability analysis of a large system into the analysis of dissembled single element, therefore provides a feasible way to control the stability of large-scale systems regardless of whether the system is symmetrical or unsymmetrical. We then apply the proposed method to prove and control the stability of an unsymmetrical matrix-free method that solves Maxwell’s equations in general unstructured meshes while not requiring a matrix solution.<br></div><div><br></div>

The Master's thesis deals with the simulations kinematics and dynamics of experimental four-wheeled vehicle with all-wheel steering and all-wheel drive. Suggestion of vehicle stability systems ABS/ASR for traction control is included. There are several dynamics models with their comparison. The estimation of important vehicle parameters is implemented. Based on knowledge the simple vehicle stability system ABS/ASR is created.

Tato práce se zabývá návrhem a realizací palubní elektroniky experimentálního vozidla Car4, dále pak základní programovou výbavou řídicí jednotky a Hardware In the Loop simulačním ověřením funkčnosti řídicí jednotky.