Emulation System Research Articles

A Common DC Bus Circulating Current Suppression Method for Motor Emulators of New Energy Vehicles

In contrast to the conventional topology, wherein the Device Under Test (DUT) controller and the electric motor emulator (EME) are powered by the DC (Direct Current) voltage source independently, the common DC bus topology necessitates a single power supply. This reduces the cost and complexity of the motor emulator system, making it more favorable for large-scale industrial applications. However, this topology introduces significant circulating current issues in the system. A common DC bus circulating current suppression method is proposed in this paper for the motor emulator. First, the mechanism of zero-sequence circulating current generation in the common DC bus topology is analyzed and the expression for the system’s zero-sequence voltage difference is derived. Then, a control method based on a Hybrid PWM (Pulse Width Modulation) strategy that unifies SPWM (SIN Pulse Width Modulation) and SVPWM (Space Vector Pulse Width Modulation) is proposed, which has been shown to be effective in suppressing the zero-sequence circulating current in a motor emulator system with a common DC bus topology. The proposed control method has been experimentally validated using a motor emulator system.

State Space Emulation and Annealed Sequential Monte Carlo for High Dimensional Optimization

Many high dimensional optimization problems can be reformulated into a problem of finding theoptimal state path under an equivalent state space model setting. In this article, we present a general emulation strategy for developing a state space model whose likelihood function (or posterior distribution) shares the same general landscape as the objective function of the original optimization problem. Then the solution of the optimization problem is the same as the optimal state path that maximizes the likelihood function or the posterior distribution under the emulated system. To find such an optimal path, we adapt a simulated annealing approach by inserting a temperature control into the emulated dynamic system and propose a novel annealed Sequential Monte Carlo (SMC) method that effectively generating Monte Carlo sample paths utilizing samples obtained on the high temperature scale. Compared to the vanilla simulated annealing implementation, annealed SMC is an iterative algorithm for state space model optimization that directly generates state paths from the equilibrium distributions with a decreasing sequence of temperatures through sequential importance sampling which does not require burn-in or mixing iterations to ensure quasi-equilibrium condition. Several applications of state space model emulation and the corresponding annealed SMC results are demonstrated.

The digital twin of complex shipboard DC microgrids: The high‐performing synergy of compiled models and HIL platform in the dynamics emulation of zonal power electronic power distribution systems

AbstractNowadays, resilience is a crucial attribute to be pursued in advanced shipboard DC microgrids. When the power distribution is zonal, the presence of autonomous‐controlled converters guarantees both power use and resiliency improvement. The adoption of bidirectional controlled devices ensures power routing among generating units, storage, and loads. Moreover, zonal electrical distribution systems are effective in applying the optimization algorithms for green, safe, and high‐performing ship operation. In zonal DC microgrids, real‐time cooperation among controlled converters through properly set communication protocols enables the ship mission achievement. To this aim, functional tests are to be done on such complex power infrastructure. The digital twin approach provides the de‐risking step before the onboard deployment for controlled systems and communication. A zonal DC shipboard microgrid is the case study to test the synergy between compiled models and power converters on two hardware in the loop platforms, then verified by experiment in this paper. The first platform exploits the Linux real time application interface on the average value models of converters. This solution is then compared with a platform that utilizes the Typhoon hardware in the loop environment, proposing a combination of average value models and detailed switching models for the real‐time emulation of controlled grid.

Reconfigurable Artificial Perception System and Logic Gates Based on Large‐Scale Antiambipolar 2D Heterostructure Array

AbstractVan der Waals (vdWs) heterostructures enable the fabrication of various optoelectronic devices with unprecedented functionalities, particularly antiambipolar transistors. Different methods have been employed to construct such devices; however, their integration and versatility remain significantly constrained. Here, large‐scale antiambipolar vdWs heterostructure arrays capable of implementing self‐adaptive artificial perception systems and reconfigurable logic gates are verified adopting 2D Te/WS2 heterojunctions for the first time. The resulting transistors allow the modulation of band slope and depletion regions in individual constituents through electrostatic gating, delivering a high rectification ratio of 1.8 × 104. Benefiting from the gate‐tunable antiambipolar characteristic and charge capture, such a device can realize reconfigurable modulation of synaptic plasticity between excitatory and inhibitory modes, enabling the emulation of artificial perception system for the adaptive and subjective perception adjustment in various external environments and also a recognition accuracy of 90.5% for image classification through training and inference simulations. In addition, five fundamental logic gate operations with good stability and reliability, as well as low energy consumption, are achieved in the dual‐gate antiambipolar transistor by tuning the input signals. Furthermore, similar antiambipolar characteristics are also observed from other 2D Te‐based heterostructures, defining a simple, effective, and universal method to create multifunctional antiambipolar transistors.

Development of a 3 kW Wind Energy Conversion System Emulator Using a Grid-Connected Doubly-Fed Induction Generator

Development of a 3 kW Wind Energy Conversion System Emulator Using a Grid-Connected Doubly-Fed Induction Generator

Fuzzing trusted execution environments with Rust

Fuzzing, a software testing technique, aims to uncover bugs by subjecting the target program to random inputs, thus discerning abnormal program behaviors such as crashes. In this paper, we present the design and implementation of a fuzzing framework designed to test TEEs (Trusted Execution Environment). Our framework leverages established software tools in a novel way: (1) We employ the Rust programming language in a two-way code generator: to translate fuzzer output to a sequence of system calls and in a “reverse translation” process, where sample code snippets are used to seed the fuzzer – a single API specification suffices for both endeavors; (2) Our fuzzer exhibits the ability to iteratively traverse the API's specification, scrutinize object dependencies, and judiciously reuse objects. These features significantly amplify its bug-finding prowess. (3) A versatile Rust proc macro mechanism is used to process the API specification. The fuzzer's code is built with the Rust compiler sans the necessity for additional specialized tools. (4) To enable the efficient stateful execution of TEEs, we have tailored the QEMU system emulator accordingly. To verify the usability and performance of our fuzzer, and to test various configuration options we conducted a series of tests with a popular open-source OP-TEE trusted operating system.

High-dimensional quantum key distribution using orbital angular momentum of single photons from a colloidal quantum dot at room temperature

High-dimensional quantum key distribution (HDQKD) is a promising avenue to address the inherent limitations of basic quantum key distribution (QKD) protocols. However, experimental realizations of HDQKD to date have relied on indeterministic photon sources that limit the achievable key rate. In this paper, we demonstrate a full emulation of a HDQKD system using a single colloidal giant quantum dot (gQD) as a deterministic, compact, and room-temperature single-photon source (SPS). We demonstrate a practical protocol by encoding information in a high-dimensional space (d = 3) of the orbital angular momentum of the photons. Our experimental configuration incorporates two spatial light modulators for encoding and decoding the spatial information carried by individual photons. Our experimental demonstration establishes the feasibility of utilizing high radiative quantum yield gQDs as practical SPSs for HDQKD. We also experimentally demonstrate surpassing the traditional d = 2 QKD capacity with comparable error rates, indicating a significant improvement in performance while maintaining reliability.

Design, and dynamic evaluation of a novel photovoltaic pumping system emulation with DS1104 hardware setup: Towards innovative in green energy systems.

Diesel engines (DEs) commonly power pumps used in agricultural and grassland irrigation. However, relying on unpredictable and costly fuel sources for DEs pose's challenges related to availability, reliability, maintenance, and lifespan. Addressing these environmental concerns, this study introduces an emulation approach for photovoltaic (PV) water pumping (WP) systems. Emulation offers a promising alternative due to financial constraints, spatial limitations, and climate dependency in full-scale systems. The proposed setup includes three key elements: a PV system emulator employing back converter control to replicate PV panel characteristics, a boost converter with an MPPT algorithm for efficient power tracking across diverse conditions, and a motor pump (MP) emulator integrating an induction motor connected to a DC generator to simulate water pump behaviors. Precise induction motor control is achieved through a controlled inverter. This work innovatively combines PV and WP emulation while optimizing system dynamics, aiming to develop a comprehensive emulator and evaluate an enhanced control algorithm. An optimized scalar control strategy regulates the water MP, demonstrated through MATLAB/Simulink simulations that highlight superior performance and responsiveness to solar irradiation variations compared to conventional MPPT techniques. Experimental validation using the dSPACE control desk DS1104 confirms the emulator's ability to faithfully reproduce genuine solar panel characteristics.

Development of an emulator of the sustainable energy harvesting pad system on a bike lane for charging lithium batteries

In response to the urgent imperative of combating global warming and advancing sustainable energy solutions, an innovative approach has emerged, capitalizing on bicycles and road bike lane infrastructure. This solution integrates a Smart Lithium Battery Charging System with a Sustainable Energy Harvesting Pad (SEHP) designed for cyclists. The SEHP harnesses piezoelectric energy from mechanical vibrations and kinetic energy from lightweight vehicles. It produces clean, renewable electricity as an alternative to traditional power sources. Comprehensive assessments of the SEHP's energy generation performance at various proficiency levels have revealed impressive capabilities. An electronic emulator system is developed to support academic and research communities, simulating scenarios on bike lanes to efficiently charge 36.36 Wh lithium batteries at various cycling proficiency levels. The study involved specific circuit design, seamless integration with the custom Smart Lithium Battery Charging System, and optimization using Microcontroller hardware and software solutions. Practical prototypes verified the emulator's functionality and real-world applicability, making it an authentic replica of the SEHP's outcomes. This innovative technology enhances our understanding of SEHP and enables comparative analysis against other energy sources, contributing to a more sustainable future.

Development and Implementation of a Smart Charging System for Electric Vehicles Based on the ISO 15118 Standard

There is currently exponential growth in the electric vehicle market, which will require an increase in the electrical grid capacity to meet the associated charging demand. If, on the one hand, the introduction of energy generation from renewable energy sources can be used to meet that requirement, the intermittent nature of some of these sources will challenge the mandatory real-time equilibrium between generation and consumption. In order to use most of the energy generated via these sources, mechanisms are required to manage the charging of batteries in electric vehicles, according to the levels of generation. An effective smart charging process requires communication and/or control mechanisms between the supply equipment and the electric vehicle, enabling the adjustment of the energy transfer according to the generation levels. At this level, the ISO 15118 standard supports high-level communication mechanisms, far beyond the basic control solutions offered through the IEC 61851-1 specification. It is, thus, relevant to evaluate it in smart charging scenarios. In this context, this paper presents the development of a charge emulation system using the ISO 15118 communication protocol, and it discusses its application for demand response purposes. The system comprises several modules developed at both ends, supply equipment and electric vehicles, and allows the exchange of data during an emulated charging process. The system also includes human interfaces to facilitate interactions with users at both ends. Tests performed using the implemented system have shown that it supports a demand response when integrated with a photovoltaic renewable energy source. The dynamic adjustment to charging parameters, based on real-time energy availability, ensures efficient and sustainable charging processes, reducing the reliance on the grid and promoting the use of renewable energy.

Experimental validation of a real-time fuzzy logic-based MPPT controller for a PEM fuel cell emulator system

Experimental validation of a real-time fuzzy logic-based MPPT controller for a PEM fuel cell emulator system

Retro-Plus Portable Gaming Console

The Indian E-sports gaming industry is burgeoning, with a market value of nearly 2000 crores and rapid expansion. This growth primarily targets the younger generation's preference for high-priced online games that necessitate a sophisticated gaming setup. Introducing the Retro-Plus Portable Gaming Console, a compact pocket-sized device enabling players to enjoy classic 90s video games without the need for internet connectivity or elaborate configurations. Amidst the resurgence of retro gaming, we explore a cost-effective alternative by harnessing the power of Raspberry Pi boards equipped with RetroPie emulator systems. Comparing various retro gaming consoles with RetroPie, we showcase the versatility and affordability of this solution. Utilizing RetroPie software tailored for Raspberry Pi, our project demonstrates seamless emulation of classic games from platforms like Nintendo, Sega, and Atari. By connecting Raspberry Pi to a monitor and controllers, users access a diverse library of nostalgic titles. This initiative involves setting up Raspberry Pi with requisite software, configuring controllers, and adding game ROMs. RetroPie's comprehensive emulator collection ensures smooth gameplay, enhanced by Raspberry Pi's processing capabilities and video output. The Retro-Plus Gaming Console outshines traditional retro systems by consolidating games onto a single device, fostering customization, and facilitating internet connectivity for multiplayer gaming and updates. Keywords: Raspberry Pi, Gaming Console, Retro Gaming,affordability, versatility

CyberGrid: an IEC61850 protocol-based substation automation virtual cyber range for cybersecurity research in the smart grid

ABSTRACT A cyber range provides a controlled environment for simulating mission-critical systems for cybersecurity research following the high risks involved in conducting experiments in real-life systems. Existing cyber ranges do not provide close emulation of Cyber-Physical Systems (CPS) in the Smart Grid Networks (SGNs), with emphasis on industry-based proprietary and IED protocols. This paper presents CyberGrid Testbed – a virtual Cyber-Range developed by the CyberSCADA Research Laboratory at Obafemi Awolowo University, Ile-Ife, Nigeria, which emulates Substation Automation processes with IEC61850 and Modbus/TCP protocols and support for MMS, and IED. This was built on OpenPLC6185, simulating Twelve attack patterns, and four attack types.

A versatilely high fidelity electric machines emulator for rapid testing of motor controller.

Electric machines emulators (EMEs) based on hardware-in-the-loop (HIL), which effectively act as emulators to mimic the actual motor behavior of Interior Permanent Magnet (IPM) machines. EME is frequently used to evaluate motor controller and motor control methodologies prior to development. The inverse magnetization motor model, which is used as the basis for real-time simulation in this paper's proposal for an electric machine emulator system based on HIL, uses FEA to create the motor model data. The nonlinear features of the motor may be successfully replicated with this motor model, and the accuracy of the electric machine emulator can be enhanced by using a straightforward and trustworthy motor controller. The real-time simulation tool typhoon HIL is used in the study to develop a hardware-in-the-loop simulation platform for an IPM electric machines emulator.

Development of a variable refrigerant flow system emulator to host the second World Championship in Cybernetic Building Optimization

This paper introduces an emulator developed to assess the operational characteristics of variable refrigerant flow (VRF) for the second World Championship in Cybernetic Building Optimization (WCCBO). The emulator utilizes BACnet communication and provides a realistic simulation for evaluating energy conservation and comfort in buildings with VRF systems. Herein, we discuss the building specifications for calculation, operation of the emulator, calculation method for the vertical temperature distribution, dissatisfactory rate calculation, and consideration of championship rules. Notably, a thermal preference model was developed for predicting the thermal sensation of occupants and adjusting the dissatisfaction rate based on their ability to control the indoor environment. In addition, we developed a method for calculating the total scores during the WCCBO and devised a suitable network structure for score registration. The results of this study highlight the importance of personal control and impact of drafts on thermal comfort. This paper presents a meta-level methodology to determine the best operation for each specific VRF system for a future world championship, whose planning is underway and will be conducted to accumulate information on optimal operations.

Hardware-in-the-loop dynamic load emulation of robotic systems actuated by fluidic artificial muscles

Hardware-in-the-loop (HIL) testing is a popular control system testing method because it bridges the gap between modeling/simulation and experiments. Instead of designing a full hardware-based experiment to validate the results of a simulation, the plant hardware can be replaced with an emulator device that responds to exogenous inputs and effectively emulates the dynamic behavior of a system. This approach can be more cost-effective and modular, since the emulated plant system can be modeled in a simulation environment, implemented on a simplified piece of hardware and changed quickly without having to fabricate new parts. This paper develops the hardware and control scheme for a certain type of HIL device called a dynamic load emulator that consists of a 1-DOF linear hydraulic dynamometer equipped with in-line sensing to measure both its own position and the force exerted on it by a device-under-test. This measured force is passed to a real-time model of the emulated dynamic system. The model outputs the emulated system position, and a closed-loop controller is used to emulate this position. The emulator controller incorporates both model-based feedforward and standard feedback PI control. This paper characterizes the dynamometer-based dynamic load emulator and its controller, determining its hardware limitations and validating its capabilities when experiencing a force input from a linear spring with known parameters. Additionally, this paper demonstrates the ability of the emulator to represent the dynamics of a 1-DOF robotic joint when actuated by a pair of fluidic artificial muscles (FAMs). The primary contribution of this work is to allow for more comprehensive testing of FAM configurations, topologies, and controllers for a wide range of parameters, because the same hardware can be used to emulate multiple systems. As a result, this work will lead to more cost-effective, time-efficient, and energy-efficient designs of robotic systems and the FAMs used to actuate them.

Fast Emulation of Fermionic Circuits with Matrix Product States.

We describe a matrix product state (MPS) extension for the Fermionic Quantum Emulator (FQE) software library. We discuss the theory behind symmetry-adapted MPSs for approximating many-body wave functions of spin-1/2 Fermions, and we present an open-source, MPS-enabled implementation of the FQE interface (MPS-FQE). The software uses the open-source pyblock3 and block2 libraries for most elementary tensor operations, and it can largely be used as a drop-in replacement for FQE that allows for more efficient but approximate emulation of larger Fermionic circuits. Finally, we show several applications relevant to both near-term and fault-tolerant quantum algorithms where approximate emulation of larger systems is expected to be useful: characterization of state preparation strategies for quantum phase estimation, the testing of different variational quantum eigensolver ansätze, the numerical evaluation of Trotter errors, and the simulation of general quantum dynamics problems. In all these examples, approximate emulation with MPS-FQE allows us to treat systems that are significantly larger than those accessible with a full statevector emulator.

Multidomain Device-Level Fuel-Cell Modeling and Real-Time Hardware Emulation for Marine Research Vessel Power System

Marine research vessels (MRVs) are redesigned and refurbished to meet higher energy conversion efficiency and modular integration schemes while conforming to stronger environmental regulations. The proton exchange membrane fuel cell (PEMFC) is currently regarded as a potential power source for marine transportation applications due to its advantages of stability, sustainability, and zero emissions. This paper proposes a hierarchical scheme for the real-time hardware emulation of the MRV’s power system and a comprehensive multi-domain model for PEMFCs. The PEMFC model is presented in the electrochemical, hydration, and thermal domains by ordinary differential equations considering the interactions and dynamics of each domain. Meanwhile, the multi-domain PEMFC model considers the implications of the fluctuating supply of the onboard hydrogen circulation system. Moreover, the dynamics of the lithium-ion battery stacks are represented by an equivalent circuit model which considers heat flux phenomena. In the case study, the DC-AC grid of the MRV’s power system and electric propulsion system is configured using extensive electrification technology with an average model. The real-time hardware emulation is conducted on the Xilinx® UltraScale+™ VCU118 FPGA platform to execute the device-level and system-level behavior transients of the MRV. The results of the real-time hardware emulation have been validated against the full-scale hybrid MRV power system emulation over a wide operating range.

Using Metaprogramming Tools of the Common Lisp Language for the Development of Emulator Systems

The purpose of research is to analyze and use metaprogramming in the Common Lisp language when designing and implementing emulators that simulate computer system hardware. The metaprogramming, the macro tools of the Common Lisp language and the use of macros for metaprogramming are considered.Methods. The Lisp language is characterized by its use of uniform S-expressions to represent data and programs. Thus, data can be part of a program and vice versa: a program can be data. Common Lisp macro tools allow you to directly modify the abstract syntax tree of a program, and thus it is possible to create new syntactic constructs to solve a given problem. When implementing emulator functions, macro tools of the Common Lisp language can be used to generate functions, where the common part of the functions is included in the macro, and the differences between the functions are specified in the parameters when calling the macros. Examples of this macros are: bit status register macros, generation of ariphmetic commands, comparation commands, memory commands. Using that you can significantly reduce the size of the program.Results. As a result of computer modeling, a simulator of the NES architecture (MOS 6502 processor) was developed and implemented in the conventional object-orientied C# programming language and in the Common Lisp metaprogramming language. As a result, the simulator written in a language with metaprogramming support turned out to be more than 2 times smaller than the simulator written in C#.Conclusion. The use of metaprogramming (using the example of creating emulators) can significantly reduce the size of a program, simplify and improve the program architecture, reduce the number of errors and improve the quality of programs. The use of domain specific languages lets reduce code size even more.

Wind Power Determination for Maximum Power Point Tracking in Lab-scale Multi-MW Wind Energy Systems

The low voltage ride through (LVRT) grid code requirements are pushing the new era of multi MW wind energy conversion systems (WECS) to full power topologies. Lab scale emulation of such multi MW systems usually substitutes the wind energy conversion by a torque producing emulator (e.g. DC machine). Nevertheless, the complete study of the wind energy system is more insightful and allows a better analysis of the WECS. This work focuses on the design of the blades and the wind power calculation for lab scale emulation of multi MW wind energy systems. Theoretical analysis for the design of the lab scale system is presented and experimental results show the wind power characteristic curves for maximum power point tracking of variable speed generators.