The paper presents need of using Kalman filtering to optimize location of mobile robotic systems and more accurate navigation. Theoretical knowledge was verified on real system represented by mobile robotic system (MR...
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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.
The operation of power systems has become more challenging due to feed-in of volatile renewable energy sources. Chance-constrained optimal power flow (ccOPF) is one possibility to explicitly consider volatility via pr...
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The operation of power systems has become more challenging due to feed-in of volatile renewable energy sources. Chance-constrained optimal power flow (ccOPF) is one possibility to explicitly consider volatility via probabilistic uncertainties resulting in mean-optimal feedback policies. These policies are computed before knowledge of the realization of the uncertainty is available. On the other hand, the hypothetical case of computing the power injections knowing every realization beforehand - called in-hindsight OPF (hOPF) - cannot be outperformed w.r.t. costs and constraint satisfaction. In this paper, we investigate how CCOPF feedback relates to the full-information HOPF. To this end, we introduce different dimensions of the price of uncertainty. Using mild assumptions on the uncertainty we present sufficient conditions when ccOPF is identical to hOPF. We suggest using the total variational distance of probability densities to quantify the performance gap of hOPF and CCOPF. Finally, we draw upon a tutorial example to illustrate our results.
The present paper describes a new parallel time-domain simulation algorithm using a high performance computing environment - Julia - for the analysis of power system dynamics in large networks. The parallel algorithm ...
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ISBN:
(数字)9781728173436
ISBN:
(纸本)9781728173443
The present paper describes a new parallel time-domain simulation algorithm using a high performance computing environment - Julia - for the analysis of power system dynamics in large networks. The parallel algorithm adapts a parallel-in-space decomposition scheme to a previously sequential algorithm in order to develop a new parallelizable numerical solution of the power system equations. The parallel-in-space decomposition is based on the block bordered diagonal form, which reformulates the network admittance matrix into sub-blocks that can be solved in parallel. For the optimal spatial decomposition of the network, a new extended graph partitioning strategy is developed for load balancing and minimizing the communication between subnetworks. The new parallel simulation algorithm is tested using standard test networks of varying complexity. The simulation results are compared to those obtained from a sequential implementation in order to validate the solution accuracy and to determine the performance improvement in terms of computational speedup. Test simulations are conducted using the ForHLR II supercomputing cluster and show a huge potential in computational speedup with increasing network complexity.
In the paper, a robust control of temperature fields of the casting mould in the benchmark casting plant is presented. Temperature fields are represented as distributed parameter systems with dynamic models in the for...
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We present a real-time-controlled platform applied for automated characterisation of structures, devices and circuits printed on planar substrates. Its modular setup allows for implementation of different probe heads ...
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ISBN:
(数字)9798350378269
ISBN:
(纸本)9798350378276
We present a real-time-controlled platform applied for automated characterisation of structures, devices and circuits printed on planar substrates. Its modular setup allows for implementation of different probe heads and a large number of instruments for electrical testing. Microscope optics are used to capture high-resolution images of entire printed substrates. Based on these images printed structures on the substrates are optically inspected for printing errors by means of image processing and electrically tested. Applications include fast identification of optimal printing parameters for various ink-substrate combinations, characterisation of complex printed devices and circuits and identification of known-good structures for multi-stage printing.
By combining several existing simulators, co-simulation approaches are designed for efficient simulator development. Especially for energy systems integration simulations involving different physical domains, co-simul...
By combining several existing simulators, co-simulation approaches are designed for efficient simulator development. Especially for energy systems integration simulations involving different physical domains, co-simulation is the required approach. However, co-simulation setup is complex, time-consuming, and additionally, error-prone for large simulations, especially if visualizations are included. Therefore, for an intensive information exchange between simulators, the present paper introduces a new network-based communication concept including the co-simulation setup procedure. The proposed setup concept enables an efficient configuration for the coupling of distributed simulation modules. The evaluation of the implemented concept on an exemplary power grid simulation with integration of power-to-gas and gas-to-power components and power grid visualization shows the ability for efficient handling of a high amount of exchanged simulation data.
(Big) Data analysis techniques are able to mine hidden correlations in data sets and/or data streams. Based on identified correlations, a causality analysis can generate new knowledge about happenings in a digitalised...
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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.
An aim of the paper is to present a simple algorithm for creating a heaven-and-hell-origami-like object (H&H OLO) as a possible model for reconfigurable, self-folding, origami robot. It is an original, by happy ch...
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