Academic literature on the topic 'Reconfigurable test lab'
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Journal articles on the topic "Reconfigurable test lab"
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Sierra-Fernandez, Jose María, Olivia Florencias-Oliveros, Manuel Jesús Espinosa-Gavira, José Carlos Palomares-Salas, Agustín Agüera-Pérez, and Juan José González-de-la-Rosa. "Reconfigurable Web-Interface Remote Lab for Instrumentation and Electronic Learning." International Journal of Online and Biomedical Engineering (iJOE) 16, no. 14 (November 30, 2020): 69. http://dx.doi.org/10.3991/ijoe.v16i14.16951.
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Lab sessions in engineering education are designed to reinforce theoretical concepts. However, usually there are not enough time to reinforce all of them. Remote and virtual lab give students more time for reinforce those concepts. In particular, with remote labs, this can be done interacting with real lab equipment and specific configurations. This work proposes a flexible configuration for Remote Lab Sessions, based on some of 2019 most popular programming languages (Python and JavaScript). This configuration needed minimal network privileges, it is easily to scale and reconfigure. Its structure is based on a unique Reception-Server (which hosts User database, and Time Shift Manager, it is accessible from The Internet, and connect Users with Instruments-Servers) and some Instrument-Servers (which manage hardware connection and host experiences). Users always connect to Reception-Server, and book a shift for an experience. During the time range associate to that shift, User is internally forwarded to Instrument-Server associated with selected experience, so User is still connected to Reception-Serer. In this way, Reception-Server acts as a firewall, protecting Instrument-Servers, which never are open to The Internet. A triple evaluation system is implemented, User session logging and auto-evaluation (objectives accomplished) a knowledge test and an interaction survey. An experience is implemented, controlling a DC source using Standard Commands for Programmable Instruments.
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Henke, Karsten, Tobias Vietzke, Heinz-Dietrich Wuttke, and Steffen Ostendorff. "GOLDi – Grid of Online Lab Devices Ilmenau." International Journal of Online Engineering (iJOE) 12, no. 04 (April 28, 2016): 11. http://dx.doi.org/10.3991/ijoe.v12i04.5005.
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Based on a grid concept of an interactive hybrid online laboratory we will describe different fields of applications in different learning scenarios. This infrastructure guaranties a reliable, flexible as well as robust usage of this online lab. By using GOLDi, students are able to design control algorithms with different specification techniques to control electro-mechanical hardware models in the online lab. Additionally, the reconfigurable rapid prototyping platform of the GOLDi system can be used to test all the taught topics of a given lectures in the field of digital system design. Finally, a special demonstration platform (a ball in a labyrinth on a balance plate) can be used to give the students a better feeling about the possibilities and limitations of remote control and observation via Internet and to evaluate these technologies critically.
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Lobo, Jorge. "Introduction to Stochastic Computing using a Remote Lab with Reconfigurable Logic." International Journal of Online Engineering (iJOE) 12, no. 04 (April 28, 2016): 23. http://dx.doi.org/10.3991/ijoe.v12i04.5091.
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This short paper introduces the basic concepts of Stochastic Computing (SC), and presents additions to a remote lab with reconfigurable logic to allow testing SC circuits. Recently, SC has been revisited and evaluated as a possible way of performing approximate probabilistic computations for artificial perception systems. New modules allow the generation of pseudo-random numbers, given a seed key and using linear feedback shift registers, but also having true random number generation using ring oscillators and embedded PLLs. Stochastic computing allows a tradeoff between resource usage and precision, allowing very simple circuits to perform computations, at the expense of a longer integration time to have reasonable results. We provide the basic stochastic computing modules, so that any user can use them to build a stochastic computing circuit and go beyond software simulations, providing a remote hardware device to test real circuits at high clock speeds.
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Ram, J. Prasanth, Dhanup S. Pillai, Ye-Eun Jang, and Young-Jin Kim. "Reconfigured Photovoltaic Model to Facilitate Maximum Power Point Tracking for Micro and Nano-Grid Systems." Energies 15, no. 23 (November 23, 2022): 8860. http://dx.doi.org/10.3390/en15238860.
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PV systems are a popular energy resource, prevalent worldwide; however, shade faults manifested in PV systems limit its power conversion efficiency. The occurrence of multiple power peaks and their location are highly uncertain in PV systems; this necessitates the use of complex maximum power point tracking algorithms to introduce high voltage oscillations. To address this issue, a new reconfigurable PV array to produce a global maximum power point (GMPP) algorithm close to the Voc regions was introduced. This enables the use of a simple Perturb and Observe (P&O) algorithm to easily track GMPP. For reconfiguration, a simple 5 × 5 PV array is considered, and a new physical relocation procedure based on the position square method is proposed. Performance of the proposed reconfiguration model is tested for four various shade events and its row current evaluations are comprehensively analyzed. Furthermore, evaluations of fill factor, mismatch loss, and power loss are quantitatively compared against Dominance Square and TCT schemes. Since the power enhancement is ensured in a reconfigurable PV array, the fixed reconfiguration is tailored to suit residential PV and microgrid systems. For MPP evaluations, hardware demonstrations are performed with a lab scale prototype model developed with a PV simulator and a DC–DC power electronic interface. The I–V characteristics of conventional and reconfigured models are programmed into the simulator and the use of the hill climbing algorithm is validated. To analyze the voltage and power oscillations with MPP tracking, the PSO algorithm is also tested for two test patterns and its results are comprehensively studied.
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Yaprakdal, Fatma, M. Berkay Yılmaz, Mustafa Baysal, and Amjad Anvari-Moghaddam. "A Deep Neural Network-Assisted Approach to Enhance Short-Term Optimal Operational Scheduling of a Microgrid." Sustainability 12, no. 4 (February 22, 2020): 1653. http://dx.doi.org/10.3390/su12041653.
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The inherent variability of large-scale renewable energy generation leads to significant difficulties in microgrid energy management. Likewise, the effects of human behaviors in response to the changes in electricity tariffs as well as seasons result in changes in electricity consumption. Thus, proper scheduling and planning of power system operations require accurate load demand and renewable energy generation estimation studies, especially for short-term periods (hour-ahead, day-ahead). The time-sequence variation in aggregated electrical load and bulk photovoltaic power output are considered in this study to promote the supply-demand balance in the short-term optimal operational scheduling framework of a reconfigurable microgrid by integrating the forecasting results. A bi-directional long short-term memory units based deep recurrent neural network model, DRNN Bi-LSTM, is designed to provide accurate aggregated electrical load demand and the bulk photovoltaic power generation forecasting results. The real-world data set is utilized to test the proposed forecasting model, and based on the results, the DRNN Bi-LSTM model performs better in comparison with other methods in the surveyed literature. Meanwhile, the optimal operational scheduling framework is studied by simultaneously making a day-ahead optimal reconfiguration plan and optimal dispatching of controllable distributed generation units which are considered as optimal operation solutions. A combined approach of basic and selective particle swarm optimization methods, PSO&SPSO, is utilized for that combinatorial, non-linear, non-deterministic polynomial-time-hard (NP-hard), complex optimization study by aiming minimization of the aggregated real power losses of the microgrid subject to diverse equality and inequality constraints. A reconfigurable microgrid test system that includes photovoltaic power and diesel distributed generators is used for the optimal operational scheduling framework. As a whole, this study contributes to the optimal operational scheduling of reconfigurable microgrid with electrical energy demand and renewable energy forecasting by way of the developed DRNN Bi-LSTM model. The results indicate that optimal operational scheduling of reconfigurable microgrid with deep learning assisted approach could not only reduce real power losses but also improve system in an economic way.
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Hennane, Youssef, Abdelmajid Berdai, Jean-Philippe Martin, Serge Pierfederici, and Farid Meibody-Tabar. "New Decentralized Control of Mesh AC Microgrids: Study, Stability, and Robustness Analysis." Sustainability 13, no. 4 (February 19, 2021): 2243. http://dx.doi.org/10.3390/su13042243.
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In this paper, we investigated the power sharing issues in mesh islanded microgrids that contain several distributed generators (DGs) and loads connected to different points of common coupling (PCC). Firstly, an improved decentralized droop control algorithm is proposed to achieve the active and reactive power sharing of different DGs in reconfigurable mesh islanded microgrids. Accurate power sharing was obtained even though line parameters or the mesh microgrid configuration were unknown. Secondly a state-space model of the whole mesh microgrid was developed, considering several generators with their decentralized controllers, line feeders, and dynamic loads. This model was used to design parameters of droop controllers, to study the asymptotic stability and the robustness properties of the system. All strategies and analyses were validated by simulation based on the generic microgrid detailed in the standard IEEE 9bus test feeder.
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Soomro, Jahangir Badar, Faheem Akhtar Chachar, Hafiz Mudassir Munir, Jamshed Ahmed Ansari, Amr S. Zalhaf, Mohammed Alqarni, and Basem Alamri. "Efficient Hardware-in-the-Loop and Digital Control Techniques for Power Electronics Teaching." Sustainability 14, no. 6 (March 16, 2022): 3504. http://dx.doi.org/10.3390/su14063504.
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Power electronics is a core subject in electrical and electronics engineering at the undergraduate level. The rapid growth in the field of power electronics requires necessary changes in the curricula and practica for power electronics. The proposed next-generation power electronics teaching laboratory changes the learning paradigm for this subject and is for the first time used for teaching purposes in Pakistan. The proposed controller hardware-in-the-loop (CHIL) laboratory enabled students to design, control, and test power converters without the fear of component failure. CHIL setup allowed students to directly validate the physical controller without the need for any real power converter. This allowed students to obtain more repeatable results and perform extreme digital controller testing of power converters that are otherwise not possible on real hardware. Furthermore, students could start learning power electronics concepts with hardware from the beginning on a safe, versatile, fully interactive, and reconfigurable platform. The proposed laboratory meets the accreditation board for engineering and technology (ABET) student outcome criterion K such that students can continue with the same hardware and software toolset for graduate and research purposes. The knowledge and skills acquired during undergraduate years can help students create new solutions for power electronics systems and develop their expertise in the field of power electronics. The results obtained from the survey indicated that the majority of the students were satisfied with the laboratory setup. They also expressed appreciation over the provision of a high-level graphical language “LabVIEW” for the digital controllers compared to conventional low-level text-based languages such as VHDL, Verilog, C, or C++.
Conference papers on the topic "Reconfigurable test lab"
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Chen, Xiaoming, Yukun Ren, Likai Hou, Tianyi Jiang, and Hongyuan Jiang. "Fluid Mixing Using Induced Charge Electro-Osmotic Transverse Flow Actuated by Asymmetrical Driving Electrode Sequence." In ASME 2019 6th International Conference on Micro/Nanoscale Heat and Mass Transfer. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/mnhmt2019-4181.
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Abstract Microfluid mixing is an essential process in chemical analysis, drug test, and nanoparticle synthesis. Induced charge electro-osmosis (ICEO) has good capability in microfluid mixing for its reconfigurable vortex profile. We found experimentally ICEO transverse flow induced by the asymmetrical driving electrode has a good performance in disturbing the interface of two fluids. Encouraged by these aspects, we proposed a micromixer using ICEO transverse flows actuated by the asymmetrical driving electrode sequence to mix microfluids. We established a simulation model to investigate the evolution of the interface and demonstrate the work principle of this method. Moreover, we numerically explored the effects of device structure, and electrolyte characteristics on the capability of micromixer. Finally, we validated this method experimentally, and studied the effects of voltage intensity, frequency and flow rate on the mixing capability, obtaining mixing efficiency exceeding 94%. This method is a potential alternative in various microfluidic and lab-on-a-chip applications.
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Scott-Murrell, Emrys, David Lanza, and Michael J. Schertzer. "Impedimetric Feedback in Particle Laden Digital Microfluidic Devices." In ASME 2015 13th International Conference on Nanochannels, Microchannels, and Minichannels collocated with the ASME 2015 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/icnmm2015-48494.
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Impedimetric measurement methods are a novel approach to the characterization of fluid in biological applications. Lab on a chip (LOAC) technologies could be combined with impedimetrics to benefit these applications. LOAC devices are currently being developed to pursue the miniaturization of larger scale processes. Current research shows great flexibility in using LOAC devices to reproduce biological processes such as those used in medical diagnostic applications. With a smaller form factor, testing that generally requires off-site lab usage can be deployed at the point-of-care. LOAC devices also have the potential to lower operating costs by reducing reagent volumes, labor costs, and cycle times. Digital microfluidic devices (DMF) are one promising LOAC platform. These devices manipulate discrete droplets of fluid using electric fields. As such, DMF devices can create, move, merge, and mix droplets while eliminating mechanical components like channels, pumps, and valves. Manipulation of discrete volumes over a planar array of electrodes allows for the possibility of highly flexible, reconfigurable devices. Addressable positions on a DMF device have conductive planes above and below the droplets which form a parallel plate capacitor. Using this principle, the electrical properties of the system can be measured in the same circuit that is used for droplet manipulation, removing the need for additional sensing components. This research tests the hypothesis that the impedance of a particle laden droplet in a DMF device can be modelled using an equivalent circuit model for particles that span more than half the gap height. The fundamental understanding gained increases sensitivity in impedimetric measurements, and can also be used for DMF applications in medical diagnostics, cell manipulation and observation, and condition based maintenance. This research presents an analytical model based on an equivalent circuit of a particle laden droplet. The proposed model predicts that droplet impedance is a function of device geometry, particle size, particle concentration, and the electrical properties of the particles and the surrounding medium.