The retrofit of the energy system leads to new challenges for the control of power electronic devices. To account for parametric uncertainties of passive elements, or unknown ambient conditions in real-world applicati...
The retrofit of the energy system leads to new challenges for the control of power electronic devices. To account for parametric uncertainties of passive elements, or unknown ambient conditions in real-world applications, the use of proportional-integral (PI) controllers in cascaded schemes is common. Observer based adaptive control approaches can be leveraged to accommodate such uncertainties and at the same time provide parameter estimates and enable model based control approaches. From an application perspective, the question arises about the consequences of wrong modelling assumptions, for example regarding the often unknown load type. In this work an interleaved DC/DC boost converter is considered, that supplies a DC-bus to which generally unknown loads can be connected, such as a grid-tied three phase inverter. This paper illustrates the design of an observer based adaptive controller using the Immersion & Invariance framework with an energy shaping plus damping injection passivity based controller. A highly simplified, large signal plant model as well as the assumption of a purely resistive load are used for the design. The provided experimental results show that the adaptive controller is able to cope with violations of the modeling assumptions concerning the load type in a real-world application scenario.
Inkjet-printing of electrochemical sensors is a rapidly developing fabrication method. Careful selection of pre-processing methods, inkjet-printing parameters, and post-processing methods is crucial for the features o...
Inkjet-printing of electrochemical sensors is a rapidly developing fabrication method. Careful selection of pre-processing methods, inkjet-printing parameters, and post-processing methods is crucial for the features of the final sensor. In particular the interaction of inks and substrate is essential for setting the pre- and post-processing conditions as well as the inkjet-printing parameters. Here, commercial gold, silver, and passivation inks are printed onto a Polyimide substrate and investigated with different processing parameters. A literature search has shown that there is a lack of systematic investigation of the processing conditions for this material combination. Optimal processing parameters are presented here for this combination of materials. With the identified processing parameters, we reproducibly achieve low resistivities for gold and silver nanoparticle inks.
Averaging methods are widely used for the control-oriented modeling of systems where high-frequency actuation is used to steer the average of the control variables, such as switching power converters or mechanical sys...
Averaging methods are widely used for the control-oriented modeling of systems where high-frequency actuation is used to steer the average of the control variables, such as switching power converters or mechanical systems with vibrational control. Higher-order averaging provides approximations for the trajectories with improved accuracy compared to the commonly used first-order averaging method. Furthermore, differential flatness is a property of dynamical systems which allows parametrizing state and input trajectories from a flat output without integration. In this contribution we investigate the relation between higher-order averaging and flatness via examples of electrical and mechanical systems.
Formaldehyde is widely used in pathology for the preservation of tissue specimens. Due to a lack of alternatives, it continues to be used despite its toxic properties. Currently existing sensors are not suitable for d...
Formaldehyde is widely used in pathology for the preservation of tissue specimens. Due to a lack of alternatives, it continues to be used despite its toxic properties. Currently existing sensors are not suitable for daily use in pathology due to their long reaction times in the range of minutes (electrochemical) or the size of their volume of more than 5 liters (optical). In order to accurately record the individual exposure of employees and thus enable targeted protective measures, a mobile formaldehyde sensor based on a 340 nm UV-LED is presented. To enhance the absorption in a compact design, a multi-pass cell is developed that extends the light-gas interaction by mirroring the light. With the developed photometer, it is possible to measure formaldehyde concentrations down to a minimum of 2 ppm at an averaging period of 1 s. The limiting factor to further decrease the lowest measurement limit of the photometer is the light loss in the multi-pass cell due to beam expansion and absorption by the mirrors. Possibilities to reduce the light loss are shown in order to monitor the permissible individual exposure at work of 0.3 ppm.
It is well-known that the state-space averaged models of buck and boost converters possess the property of differential flatness, which can prove beneficial to control design. This paper investigates the differential ...
It is well-known that the state-space averaged models of buck and boost converters possess the property of differential flatness, which can prove beneficial to control design. This paper investigates the differential flatness of systems that consist of buck and boost converters interconnected at their outputs in three structures, which model DC microgrids with different properties. We present the mathematical form of potential flat outputs which depends on the number of converters of each type. Flatness-based feedforward control is demonstrated in simulations for all three types of interconnection. A numerical solution of the implicit flat parametrization is used where the explicit flat parametrization is not available.
Scientists and engineers involved in the design of complex system solutions use computational Workflows and co-simulations to explore, model, and evaluate the behavior of these system solutions. With the help of integ...
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Scientists and engineers involved in the design of complex system solutions use computational Workflows and co-simulations to explore, model, and evaluate the behavior of these system solutions. With the help of integration tools, scientists and engineers can avoid the implementation of additional interfaces when coupling different executables and running them as an overall system solution, which hinders their original research or engineering goals. Therefore, a novel framework named PROcess Orchestration Framework (PROOF) for streamlining the creation and automation of computational workflows and co-simulations is introduced in this article. It uses state-of-the-art technologies for automation (e.g., container virtualization) and coordination (e.g., distributed message-oriented middleware). It supports task parallelism and recoverability capabilities by utilizing container orchestration on a distributed computing cluster. PROOF uses a descriptive approach to abstractly create workflows with the help of a scalable and extendable user interface.
Recently, there has been a surge of interest in novel concepts for jointly operating devices in urban areas in clusters, motivated by their potential to support decarbonization, enhance power system flexibility, and p...
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In pathology, xylene is used in various process steps to prepare tissue samples for further examination and is essential despite potential health risks. To protect employees, it is desirable to monitor exposures to in...
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ISBN:
(数字)9798350378269
ISBN:
(纸本)9798350378276
In pathology, xylene is used in various process steps to prepare tissue samples for further examination and is essential despite potential health risks. To protect employees, it is desirable to monitor exposures to individuals using a wearable detector. This article presents the design and simulation of a xylene measuring device based on a multi pass cell, which is the size of a smartphone and thus allows the measuring unit to be worn comfortably on the body. The geometrical and metrological requirements result in a beam path of approximately 2000 mm, folded to such an extent that it undercuts 28 reflections on its path.
The assessment of bias within Large Language Models (LLMs) has emerged as a critical concern in the contemporary discourse surrounding Artificial Intelligence (AI) in the context of their potential impact on societal ...
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Due to the increasing share of renewable energies, the role of demand response and production planning is becoming more important. Power-to-X (PtX) technologies, especially power-to-methanol (PtM), are particularly su...
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ISBN:
(数字)9798350386493
ISBN:
(纸本)9798350386509
Due to the increasing share of renewable energies, the role of demand response and production planning is becoming more important. Power-to-X (PtX) technologies, especially power-to-methanol (PtM), are particularly suitable for storing excess energy, as these processes are highly flexible as they can be ramped up and down quickly. In this work, an optimization framework for the flexibilization of a novel power to methanol process that uses decentralized carbon dioxide point sources is developed. Based on simulation data of the stationary operation of a power to methanol process, a Mixed-Integer Nonlinear Program (MINLP) considering buffer storages, an electrolyser and a power to methanol plant is constructed. The optimal operation is determined taking into account variable electricity costs, varying renewable electricity supply and various production constraints. It has been shown that a suitable scheduling of the process can achieve cost savings up to twenty percent, depending on the boundary conditions and configuration.
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