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Sliding-mode observation with iterative parameter adaption for fast-switching solenoid valves
(2016)
Control of the armature motion of fast-switching solenoid valves is highly desired to reduce noise emission and wear of material. For feedback control, information of the current position and velocity of the armature are necessary. In mass production applications, however, position sensors are unavailable due to cost and fabrication reasons. Thus, position estimation by measuring merely electrical quantities is a key enabler for advanced control, and, hence, for efficient and robust operation of digital valves in advanced hydraulic applications. The work presented here addresses the problem of state estimation, i.e., position and velocity of the armature, by sole use of electrical measurements. The considered devices typically exhibit nonlinear and very fast dynamics, which makes observer design a challenging task. In view of the presence of parameter uncertainty and possible modeling inaccuracy, the robustness properties of sliding mode observation techniques are deployed here. The focus is on error convergence in the presence of several sources for modeling uncertainty and inaccuracy. Furthermore, the cyclic operation of switching solenoids is exploited to iteratively correct a critical parameter by taking into account the norm of the observation error of past switching cycles of the process. A thorough discussion on real-world experimental results highlights the usefulness of the proposed state observation approach.
Cloud Computing
(2016)
Stress is becoming an important topic in modern life. The influence of stress results in a higher rate of health disorders such as burnout, heart problems, obesity, asthma, diabetes, depressions and many others. Furthermore individual’s behavior and capabilities could be directly affected leading to altered cognition, inappropriate decision making and problem solving skills. In a dynamic and unpredictable environment, such as automotive, this can result in a higher risk for accidents. Different papers faced the estimation as well as prediction of drivers’ stress level during driving. Another important question is not only the stress level of the driver himself, but also the influence on and of a group of other drivers in the near area. This paper proposes a system, which determines a group of drivers in a near area as clusters and it derives the individual stress level. This information will be analyzed to generate a stress map, which represents a graphical view about road section with a higher stress influence. Aggregated data can be used to generate navigation routes with a lower stress influence to decrease stress influenced driving as well as improve road safety.
Traggerüste
(2016)
Karl Bernhard
(2016)
adidas and Reebok
(2016)
Die ISO 26000 schafft einen international anerkannten Referenzrahmen für die Wahrnehmung gesellschaftlicher Verantwortung durch Organisationen aller Art (Unternehmen, staatliche Institutionen, Vereinigungen). Das EFQM-Modell ist ein geeigneter Referenzrahmen, um eine Organisation so zu gestalten, dass die Unternehmensziele nachhaltig erreicht werden unter Einhaltung der gesetzlichen Vorgaben und der Erfüllung legitimer Anforderungen relevanter Stakeholder.
Tango Argentino
(2016)
Geographieunterricht ist in besonderem Maße prädestiniert, Mensch-Umwelt- und Mensch-Mitwelt-Beziehungen bewusst zu machen. Hierzu soll dieser Band beitragen, denn Musik wirkt ganzheitlich und lässt uns geographische Sachverhalte nicht nur visuell wahrnehmen, sondern macht sie akustisch "fühlbar" und bringt somit eine neue Erfahrungsdimension in den Unterricht. Da Musik aber auch eng mit Kultur verbunden ist, ermöglichen die 12 Unterrichtsbeispiele zudem Zugänge zu kulturellen Vorstellungen anhand diverser Raumbeispiele.
Finite-Element-Methode
(2016)
Baudynamik
(2016)
Kunstwelten
(2016)
Geschärfte Sinne
(2016)
The person’s heart rate is an important indicator of their health status. A heart rate that is too high or too low could be a sign of several different diseases, such as a heart disorder, obesity, asthma, or many others. Many devices require users to wear the device on their chest or place a finger on the device. The approach presented in this paper describes the principle and implementation of a heart rate monitoring device, which is able to detect the heart rate with high precision with the sensor integrated in a wristband. One method to measure the heart rate is the photoplethysmogram technique. This method measures the change of blood volume through the absorption or reflection of light. A light emitting diode (LED) shines through a thin amount of tissue. A photo-diode registers the intensity of light that traverses the tissue or is reflected by the tissue. Since blood changes its volume with each heartbeat, the photo-diode detects more or less light from the LED. The device is able to measure the heart rate with a high precision, it has low performance and hardware requirements, and it allows an implementation with small micro-controllers.