La commande du système de Direction Assistée Electrique (DAE) est un défi majeur en raison de ses multiples objectifs et de la nécessitée de réaliser plusieurs mesures pour la mettre en oeuvre. La commande doit assurer : le suivi du couple d’assistance de référence tout en assurant la stabilité du système et sans introduire des retards, l’atténuation des vibrations provoquées par chacune des entrées du système, la transmission des informations de la route au conducteur pour un bon confort et une meilleure sensation de conduite, l’amélioration de la performance de retour au centre. La commande doit également être robuste vis-à-vis des erreurs de modélisation, des incertitudes des paramètres, et des perturbations extérieures. En outre, la mise en oeuvre de la commande nécessite plusieurs mesures telles que : l’angle au volant, l’angle du moteur, la vitesse du moteur, le couple conducteur et le couple de réaction de la route. / The control of Electric Power Assisted Steering (EPAS) system is a challengingproblem due to the multiple objectives and the need of several pieces of information to implement the control. The control objectives are to generate assist torque with fast responses to driver’s torque commands, insure system stability, attenuate vibrations, transmit the road information to the driver, and improve the steering wheel returnability and free control performance. The control must also be robust against modeling errors and parameter uncertainties. In addition, several pieces of information are required to implement the control, such as steering wheel angle, motor velocity, driver torque and road reaction torque.

Für drehzahl- und lagegeregelte elektrische Antriebssysteme mit mechanisch-elastischen Übertragungselementen exitiert eine Fülle von Regelstrategien. Jede von ihnen weist spezifische Vor- aber auch Nachteile auf, welche letztlich auf die eigene prinzipbedingte Güteschranke zurückzuführen sind. Um eine solche Güteschranke zu durchbrechen muß man grundsätzlich die Strukturbeschränkung des Reglers angreifen. Hierfür werden zwei Möglichkeiten aufgezeigt, ein parametervariables und ein strukturvariables Regelkonzept. Mit der Parameter-und der Strukturvariabilität lassen sich konventionelle Regler qualitativ aufwerten, und unterschiedliche Regelprinzipien kombinieren. Insbesondere können Nutz-Nichtlinearitäten in systematischer Weise in lineare Regler integriert werden. Das parametervariable Regelkonzept verfolgt dem Ziel, das dynamische Regelverhalten konventioneller Regler durch Online-Tuning der Reglerparameter zu verbessern. Hierbei können unterschiedliche Parametersätze vorteilhaft kombiniert werden, so dass die Güteschranke des konventionellen Reglers überwunden wird. Der systematische Entwurf vereint die klassischen linearen Methoden mit der heuristischen fuzzy-basierten Vorgehensweise. Beim strukturvariablen Konzept handelt es sich um ein auf das Sliding-Mode-Prinzip basierte Regelverfahren, dessen Hauptgegenstand die Güterobustheit der Regelung gegenüber Parameterunsicherheiten ist. Um die Nachteile des Sliding-Mode-Prinzips zu vermeiden und damit die Realisierbarkeit für elektrische Antriebssysteme zu erhöhen, werden Methoden für die Rekonstruktion der Zustandsgrößen und für die Chattering-Reduktion vorgeschlagen. Auch das strukturvariables Konzept beinhaltet einen starken Bezug zu linearen Prinzipien. Möglichkeiten zur Kombination beider vorgeschlagenen Konzepte werden ansatzmässig aufgezeigt. Die beiden Konzepte werden in Simulation und an einer Versuchsanlage experimentell erprobt

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This thesis evaluates different controllers for traction control on an electric forklift truck and has been done in cooperation with Toyota Material Handling Manufacturing Sweden. The need for a traction control system has increased with the introduction of lithium-ion batteries replacing the older lead-acid batteries, reducing the battery weight and therefore the downward force on the driving wheel increasing the risk for slip. The forklift truck was modelled using Simulink and validated by experiment. Different possible control strategies were investigated and three were chosen for implementation in simulation. These were controllers based on Model Following Control, Maximum Transmissible Torque Estimation and Sliding Mode Control. Model Following Control makes use of a nominal model to compare actual wheel speed values with nominal wheel speed values to determine if slip is occurring, Maximum Transmissible Torque Estimation makes use of a closed-loop disturbance observer to compute the maximum transmissible torque possible without inducing slip and using it as a limitation on the input signal, and Sliding Mode Control uses different functions to \say{slide} along a sliding surface to stay around a specific slip value. All three controller types were developed both as speed controlled and torque controlled. All of the controllers could reduce slip heavily in simulation. The Maximum Transmissible Torque Estimation controller reduced slip the most and kept oscillations at a minimum, but was not as responsive as the others to driver commands. The conclusion was that the controller of choice would depend on the working environment of the forklift truck. In a low friction environment where slip is expected to occur often, the Maximum Transmissible Torque Estimation controller is advisable, while the other two would be a better choice for environment with low slip occurrence. The use of torque control, while often better with regards to decreasing slip, could not be advised due to a perceived increase in implementation cost.

In this dissertation, we focus on two fundamental problems related to the navigation of ground robots and small Unmanned Aerial Vehicle (UAVs): cooperative localization and path planning. The theme running through in all of the work is the use of bearing only sensors, with a focus on monocular video cameras mounted on ground robots and UAVs. To begin with, we derive the conditions for the complete observability of the bearing-only cooperative localization problem. The key element of this analysis is the Relative Position Measurement Graph (RPMG). The nodes of an RPMG represent vehicle states and the edges represent bearing measurements between nodes. We show that graph theoretic properties like the connectivity and the existence of a path between two nodes can be used to explain the observability of the system. We obtain the maximum rank of the observability matrix without global information and derive conditions under which the maximum rank can be achieved. Furthermore, we show that for the complete observability, all of the nodes in the graph must have a path to at least two different landmarks of known location. The complete observability can also be obtained without landmarks if the RPMG is connected and at least one of the robots has a sensor which can measure its global pose, for example a GPS receiver. We validate these conditions by simulation and experimental results. The theoretical conditions to attain complete observability in a localization system is an important step towards reliable and efficient design of localization and path planning algorithms. With such conditions, a designer does not need to resort to exhaustive simulations and/or experimentation to verify whether a given selection of a control strategy, topology of the sensor network, and sensor measurements meets the observability requirements of the system. In turn, this leads to decreased requirements of time, cost, and effort for designing a localization algorithms. We use these observability conditions to develop a technique, for camera equipped UAVs, to cooperatively geo-localize a ground target in an urban terrain. We show that the bearing-only cooperative geo-localization technique overcomes the limitation of requiring a low-flying UAV to maintain line-of-sight while flying high enough to maintain GPS lock. We design a distributed path planning algorithm using receding horizon control that improves the localization accuracy of the target and of all of the UAVs while satisfying the observability conditions. Next, we use the observability analysis to explicitly design an active local path planning algorithm for UAVs. The algorithm minimizes the uncertainties in the time-to-collision (TTC) and bearing estimates while simultaneously avoiding obstacles. Using observability analysis we show that maximizing the observability and collision avoidance are complementary tasks. We provide sufficient conditions of the environment which maximizes the chances obstacle avoidance and UAV reaching the goal. Finally, we develop a reactive path planner for UAVs using sliding mode control such that it does not require range from the obstacle, and uses bearing to obstacle to avoid cylindrical obstacles and follow straight and curved walls. The reactive guidance strategy is fast, computationally inexpensive, and guarantees collision avoidance.

Active anti-roll bars have recently found greater acceptance among premium car manufacturers and optimal application of this technology has emerged as an important field of research. This thesis investigates the potential of implementing active anti-roll bars in a passenger vehicle with the purpose of increasing customer value. For active anti-roll bars, customer value is defined in terms of vehicle’s ride comfort and handling performance. The objective with this thesis is to demonstrate this value through development of a control algorithm that can reflect the potential improvement in ride comfort and handling. A vehicle with passive anti-roll bars is simulated for different manoeuvres to identify the potential and establish a reference for the development of a control algorithm and for the performance of active anti-roll bars. While ride is evaluated using single-sided cosine wave and single-sided ramps, handling is evaluated using standardized constant radius, frequency response and sine with dwell manoeuvres.The control strategy developed implements a combination of sliding mode control, feed forward and PI-controllers. Simulations with active anti-roll bars showed significant improvement in ride and handling performance in comparison to passive anti-roll bars. In ride comfort, the biggest benefit was seen in the ability to increase roll damping and isolating low frequency road excitations. For handling, most significant benefits are through the system’s ability of changing the understeer behaviour of the vehicle and improving the handling stability in transient manoeuvres. Improvement in the roll reduction capability during steady state cornering is also substantial. In conclusion, active anti-roll bars are undoubtedly capable of improving both ride comfort and handling performance of a vehicle. Although the trade-off between ride and handling performance is significantly less, balance in requirements is critical to utilise the full potential of active anti-roll bars. With a more comprehensive control strategy, they also enable the vehicle to exhibit different driving characteristics without the need for changing any additional hardware.

[ES] La presente tesis aborda la Interacción Humano-Robot para tareas industriales de tratamiento superficial, con el objetivo de obtener una verdadera sinergia entre el operador humano y el sistema robotizado, así como un funcionamiento robusto. En concreto, la tesis establece las bases sobre las cuales un robot con asistencia por teleoperación o autónomamente interacciona con los humanos y con los otros robots en la zona de trabajo. Las propuestas se validan mediante experimentación real utilizando hasta dos robots manipuladores 6R y 7R respectivamente. Las principales contribuciones son: - Asistencia robótica para el lijado industrial con aproximación suave a la superficie y restricciones de límite - Control de robots bimanuales usando teleoperación asistida para tareas de tratamiento superficial - Interfaz basada en Realidad Aumentada para la teleoperación de robots bimanuales La aplicación de técnicas de Control en Modo Deslizante (SMC, por sussiglas en inglés) tanto convencional como no convencional y una arquitectura de control basada en prioridades son las herramientas clave para el desarrollo de estas contribuciones. / [CA] La present tesi aborda la Interacció Humà-Robot per a tasques industrials de tractament de superfícies, amb l'objectiu d'obtindre una veritable sinergia entre l'operador humà i el sistema robotitzat, així com un funcionament robust. En concret, la tesi estableix les bases sobre les quals un robot amb assistència per teleoperació o autònomament interacciona amb els humans i amb els altres robots a la zona de treball. Les propostes es validen mitjançant experimentació real utilitzant fins a dos robots manipuladors 6R i 7R, respectivament. Les principals contribucions són: - Assistència robòtica per al poliment industrial amb aproximació suau a la superfície i restriccions de límit - Control de robots bimanuals emprant teleoperació assistida per a tasques de tractament superficial - Intefaç basada en Realitat Augmentada per a la teleoperació de robots bimanuals L'aplicació de tècniques de Control en Mode Lliscant (SMC, per les seues sigles en anglés)tant convencional com no convencional i una arquitectura de control basada en prioritats són les eines clau pel desenvolupament d'aquestes contribucions. / [EN] The present thesis work addresses Human-Robot Interaction for industrial surface treatment tasks, aiming to attain a true synergy between the human operator and the robot system, as well as a robust performance. Specifically, this thesis establishes the basis on which a robot, either assisted by teleoperation or working autonomously, interacts with humans and with other robots in its working area. These proposals are validated through real experimentation using up to two robot manipulators, 6R and 7R respectively. The main contributions are: - Robotic assistance for industrial sanding with a smooth approach to the surface and boundary constraints - Bimanual robot control using assisted teleoperation for surface treatment tasks - Augmented reality-based interface for bimanual robot teleoperation The appliance of conventional and non-conventional Sliding Mode Control (SMC) techniques and a priority-based control architecture are the fundamental tools for the development of these contributions. / García Fernández, A. (2023). Robust human-robot collaboration for polishing tasks in the automotive industry [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/198673

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