Hardware Test Research Articles

Secure hardware IP of GLRT cascade using color interval graph based embedded fingerprint for ECG detector

This paper presents a security aware design methodology to design secure generalized likelihood ratio test (GLRT) hardware intellectual property (IP) core for electrocardiogram (ECG) detector against IP piracy and fraudulent claim of IP ownership threats. Integrating authentic (secure version) GLRT hardware IP core in the system-on-chip (SoC) of ECG detectors is paramount for reliable operation and estimation of ECG parametric data, such as Q wave, R wave and S wave (QRS) complex detection. A pirated GLRT hardware IP integrated into an ECG detector may result in an unreliable/erratic estimation of ECG parametric data that can be hazardous and fatal for the end patient. The proposed methodology presents an integrated design flow to secure micro GLRT and GLRT cascade hardware IP cores for the ECG detector, using the colored interval graph (CIG) framework based fingerprint biometric, during high level synthesis (HLS). The proposed approach integrates a fingerprint biometric based security constraint generation process for securing the GLRT hardware IP core. This paper also presents a secure register transfer level (RTL) datapath design corresponding to micro GLRT and GLRT cascade hardware IP cores with embedded IP vendor's fingerprint. The proposed secure GLRT hardware IP core embedded with fingerprint biometric achieves superior results in terms of probability of coincidence and tamper tolerance than other security approaches. More explicitly, the proposed approach reports a significantly lower value of probability of coincidence and stronger value for tamper tolerance. Further, the proposed approach incurs zero design cost overhead.

Super-twisting sliding mode controller for energy storage system of a novel multisource hybrid electric vehicle: Simulation and hardware validation

The rapid depletion of fossil fuels, oil, and natural gas due to their excessive use is a source of motivation for finding alternative solutions. Global warming is also an important issue caused by the emission of harmful gases. Consequently, extensive research has been conducted on Fuel Cell-based Hybrid Electric Vehicles (FCEVs) to address the twin challenges of resource depletion and harmful emissions. This study presents a novel model comprising of four sources i.e. Fuel Cell (FC), Photo Voltaic panel (PV), battery, and Supercapacitor (SC). The Proton exchange membrane fuel cell (PEMFC) in which hydrogen is used as fuel is the primary source whereas the other three sources act as secondary sources. These sources are interconnected via DC converters to a DC bus. To regulate this Hybrid Energy Storage System (HESS), a Super-Twisting Sliding Mode Controller (ST-SMC) has been developed, ensuring global stability through the application of Lyapunov criteria. In addition, the proposed controller is compared with a conventional Sliding Mode Controller (SMC) and Integral Sliding Mode Controller (ISMC). Both simulation (MATLAB/Simulink 2021b) and hardware tests (MicroLabBox dSPACE RTI1202) confirm the system's stability, resilience, and efficient functionality across various dynamic scenarios. Comparative analysis between the three demonstrates the superiority of ST-SMC over the SMC and ISMC, as verified by the results.

Speed Control of a Linear Induction Motor Using V/F Technique

Speed control of single phase Linear Induction Motor using V/F method have been widely used in fans and pumps drives. High-power Linear Induction Motors (LIMs) face challenges in managing speed. Traditional system are ineffective, causing inefficiency and potential damage. To address this, our project proposes a control system for LIM speed control suing V/f method. Currently, linear induction motors (LIMs) are widely used in many industrial applications, including transportation, conveyor systems, actuators, material handling, pumping of liquid metal, sliding-door closers and others, with satisfactory performance. The proposed control system consists of Arduino controller , soft switching for controlling and motor driver board to run Linear induction motor with voltage and frequency monitoring. This control system has almost no effect in normal operation of LIM. Hardware testing results are obtained to verify the valuable operation of proposed circuit in Speed control of LIM. Keywords—Linear Inuction Motor , Speed Control, V/f Method , Arduino Controller , LCD Display etc.

SCADA implementation in microhydro power plant control and monitoring systems of screw turbine type

Screw turbine-type micro-hydro power plants are still controlled manually by humans when there is a change in the electrical load on the generator output. If there is a change in the electrical load, the generator output voltage will change, thus affecting the rotation of the turbine being used. In this case, humans are needed to manually regulate the flow of water entering the turbine to maintain the stability of the generator output voltage by controlling the sluice gate. The water discharge entering the screw turbine will rotate the generator through a belt/gearbox pulley transmission, thus producing an electrical voltage at the generator output. To maintain the stability of the generator output voltage, it is necessary to control the water discharge entering the screw turbine. The expected goal of this research is to design a control system for a screw turbine type microhydro power plant to stabilize the generator output voltage and monitor the output of a screw turbine type generator using a SCADA (Supervisory Control, and Data Aquisition) system. The method used is the research and development method, namely the system design stage based on secondary data that has been collected, where the system design includes hardware design and software design, followed by making hardware such as control panels and devices. Software, which includes display design and leader diagrams and testing, is carried out by testing the system on software, hardware, and overall system testing. From the results of the discussion and analysis, the screw turbine type microhydro power plant control design system was created, a load control system consisting of 6 groups and sluice gate opening control that uses an ultrasonic sensor to determine the water level. With the results of controlling the sluice gate at a door opening of 30 mm, the generator voltage is 18.42 Volts DC, DC current is 0.0 Ampere at a load of 0 watts, when the load is 30 watts the generator voltage decreases by 18.40 volts, current is 1.37 Ampere. Through the on-line monitoring system, electrical parameters are obtained which are displayed on the SCADA system by looking in real-time at the history of DC voltage and DC current, DC power, and DC energy generated by the screw turbine-type DC generator. The voltage read is 18. 57 volts, current 1.37 Amperes, DC electrical power is 25.4 watts with a DC light load of 30 watts.

Individualization of boxer training based on the regulation of stress resistance indicators

Relevance. In the process of performing at competitions, the impact of psychological factors on a boxer reaches its maximum. As a result, the stability and stability of the motor skill is lost, the variability of techniques increases, and their effectiveness decreases. Therefore, when preparing a boxer and increasing the effectiveness of his technical and tactical actions, it is very important to develop mental qualities, one of which is stress resistance. The purpose of the study: to scientifically substantiate the means and methods of regulating the stress resistance indicators of boxers of the highest sports categories. Research hypothesis: it was assumed that the developed methodology for regulating the stress resistance indicators of boxers of the highest sports categories would allow athletes to cope more effectively with competitive tasks. Research methods: theoretical analysis and generalization of literary sources, questionnaires, psychodiagnostic testing, hardware testing, pedagogical observation, pedagogical experiment, expert assessment, methods of mathematical and statistical processing. As part of the study, an assessment of the stress resistance of athletes, their mental characteristics was carried out and a technique was proposed that aims to regulate the stress resistance of boxers of the highest sports categories to competitive activity. Practical recommendations will be developed based on the results of the study. The results of the study. Studying the dynamics of these psychophysiological indicators and indicators of psychological stress will help to predict the pre-start conditions of the boxers. The knowledge gained will contribute to improving the effectiveness of the selected tools that regulate stress resistance indicators. At the subsequent stages of the study, a methodology for regulating stress resistance indicators will be developed, tested during the pedagogical experiment, the stages of which are presented in the study. Conclusions. The developed methodology for regulating the stress resistance indicators of boxers of the highest sports categories can be used by coaches for more effective boxer training, and will also allow more purposefully making the necessary adjustments to the athlete's preparation for competition.

Design and validation of a novel semiconductor area optimised 3300 V SiC half bridge for MMC

AbstractThis article presents the design and experimental validation of a novel semiconductor area optimised 3300 V half bridge with Silicon Carbide (SiC) MOSFETs for HVDC converters. Based on a loss simulation, the problem statement is provided. On this results, a mathematical derivation for the optimised semiconductor area design is executed. After this step, a system loss simulation shows the performance in efficiency and specific output power. Finally, a proof of concept was provided by a scaled hardware test setup to characterise the dynamic behaviour of the novel SiC half bridge design compared to the conventional SiC half bridge.

Design and Analysis of a Linear Electric Generator for Harvesting Vibration Energy

This paper provides a proof of concept for a linear electric generator that can be used to harvest energy from various sources of linear motion, such as vibrations, free-piston engines and wave energy. The generator can be used to power small electronic devices, such as sensors, or charge household batteries. The literature was reviewed to develop an understanding about the applications, control methods, excitation methods and mechanics of rotating and linear electric machines. A bidirectional, two-sided linear machine was designed with two stator cores and a single mover core. The stator windings and mover winding can be independently excited, allowing for three modes: no mover excitation, a DC excited mover, and an AC excited mover. Simulation results showed that the magnetic flux generated by DC excited stator cores were concentrated in the centre of the mover core. The use of two stator cores eliminates lateral flux in the mover core when it is not excited, minimising attraction and repulsion forces. Parametric analysis showed that flux cutting occurred in all operation modes, verifying that the generator will produce power when operating. Hardware tests produced an output current when the machine was electrically and mechanically excited, verifying the proposed design.

Simulation of autonomous navigation of turtlebot robot system based on robot operating system

Complex system science has recently shifted its focus to include modeling, simulation, and behavior control. An effective simulation software built on robot operating system (ROS) is used in robotics development to facilitate the smooth transition between the simulation environment and the hardware testing of control behavior. In this paper, we demonstrate how the simultaneous localization and mapping (SLAM) algorithm can be used to allow a robot to navigate autonomously. The Gazebo is used to simulate the robot, and Rviz is used to visualize the simulated data. The G-mapping package is used to create maps using collected data from a variety of sensors, including laser and odometry. To test and implement autonomous navigation, a Turtlebot was used in a Gazebo-generated simulated environment. In our opinion, additional study on ROS using these important tools might lead to a greater adoption of robotics tests performed, further evaluation automation, and efficient robotic systems.

RANCANG BANGUN PURWARUPA TOILET PORTABLE BERDINDING PDLC DENGAN SISTEM SOLAR TRACKING BERBASIS ESP32

Indonesia, as an archipelagic country in the Pacific region, is vulnerable to various natural disasters such as earthquakes, tsunamis, and volcanic eruptions. In such situations, infrastructure is often damaged or inaccessible. Therefore, a research team has designed an innovative sanitation solution in the form of a portable toilet with solar tracking and PDLC walls for disaster-prone evacuation areas. This Capstone Project aims to design a portable toilet that can generate independent electrical energy to operate the entire system within the toilet. The data collection methods involve observations and testing of hardware and software components, such as PIR sensors, ultrasonic sensors, DC voltage of 25 volts, ACS712 current sensors, I2C LCD display, and testing the accuracy of command timing from the NTP server sent by ESP32 to Arduino. Referring to research [5] where the solar panel angle can be adjusted by 20° every hour using LDR sensors, the research team developed the study using an NTP program that moves every hour from 09:00 to 17:00 to maximize solar energy absorption. A 20 Wp solar panel reaches its maximum power of 16.46 watts at 11:00 AM local time, and a 12V 9Ah battery can be used for 3 hours and 10 minutes with a 3 Ah load. This portable toilet can operate automatically and be monitored via a mobile phone. Further research is recommended to include detailed electronic component analysis and the implementation of a 2-axis tracking system.

Future of Home Automation: A Comprehensive Study on PLC-Based System

We provide a thorough introduction to PLC-based home automation in this paper, with an emphasis on how sensors and actuators work together to provide intelligent control and monitoring. The suggested system makes use of actuators including fans and lights, Solid State Relay (SSR) modules, motion sensors, light sensors, temperature sensors, and relay modules to provide an effective and responsive automation solution. The PLC uses real-time data collection and analysis to carry out pre-programmed logic that allows it to operate different devices in an adaptive manner according to user preferences and environmental conditions. The rest of the paper is structured as : A review of the literature is given in Section 2, wherein PLC-based home automation advancements and research are examined. The components and features of the suggested automation system are described in depth in Section 3, which also explains the system design and functioning. The implementation processes—hardware setup, programming, testing, and deployment—are covered in Section 4. The article is finally concluded in Section 5, which also suggests future paths for PLC-based home automation research

Data-based adaptive predictive bipartite consensus for nonlinear multiagent systems against DoS attacks

This article investigates a Denial-of-Service (DoS) attack problem for nonlinear unknown discrete-time multiagent systems (MASs) to implement bipartite consensus tracking tasks with fixed and switching topologies. Firstly, an equivalent linearization data model of each agent is constructed using a pseudo partial derivative approach, where only one parameter needs to be estimated using input/output data of the controlled MASs. Meanwhile, the DoS attack behavior is described by a Bernoulli distribution process, and both cooperative and competitive relationships among agents are investigated. Moreover, an increment prediction compensator is designed to reduce the effect of DoS attacks. A data-based adaptive predictive bipartite consensus control algorithm is formulated. The corresponding theoretical analysis indicates that tracking errors of MASs with fixed and switching topologies converge to a small range around zero. Finally, several simulations and hardware tests further verify the proposed scheme’s effectiveness.

Design and Implementation of a Micro Controller for Robot Sensing and Driving

According to the control requirements of robot, the micro controller was designed, including the interface for the wireless transmission module NRF24L01, the sampling circuit for collecting the pressure sensing value, the DC motor drive function module, and the auxiliary circuit for ensuring the normal operation of the controller. After passing the hardware testing, the design of the PTZ control system is completed. The virtual reality environment is constructed using unity and VS software, Oculus is used as the head-mounted display, and then the pose sensor of Oculus is used to analyze and extract the pose sensing data for the control of the PTZ. The industrial camera is used to send back video, based on HSV algorithm for target recognition, and displaying video images in the virtual environment. And the above data was sent to the gimbal control system to finalize the virtual reality environment. Finally, the debugging and verification of the hardware architecture based on sensing and driving and the virtual reality environment were completed. And the scenario tests were conducted for the gimbal following and force feedback virtual interaction ball respectively, which verified the use of virtual reality technology to assist in controlling the robot and obtain the sense of immersive control experience.

Intelligent data-driven condition monitoring of power electronics systems using smart edge–cloud framework

The ongoing revolution in industrial production- Industry 4.0, is driven by transformative technologies such as the Industrial Internet of Things (IIoT), Artificial Intelligence (AI), single-board computers, and 5G communication. As the trend towards IIoT continues, an increasing number of industrial drive systems and their fleets are being connected to the cloud. This enables the manufacturers to perform condition monitoring (CM) and streamlined maintenance activities. At the heart of these drive systems are Power Electronics Systems (PESs), which operate at high switching frequencies (10 kHz–1 MHz) to efficiently transfer electrical power and deliver it to a load in a controlled manner. However, due to their functionalities and the presence of semiconductor switches, PESs are susceptible to failure, necessitating effective condition monitoring (CM) for fault detection and improved lifetime. Link to this issue, to enable CM based on high-frequency data, an industrial site with multiple electric drives is required to record data up to 15TB/week. Therefore, there is a demand from industrial partners to establish intelligent communication between a fleet of physical systems and the cloud to reduce transmission, storage, and bandwidth costs, as well as to enable real-time fault detection and learning from fleet operations. This paper proposes an intelligent edge–cloud computing methodology to address the challenge of high-frequency data monitoring for PESs, focusing on novelty detection and selective data transmission to reduce transmission costs. The methodology involves developing a novel edge–cloud framework that incorporates a neural network-based novelty detector for selective data transmission from physical systems to the cloud. The proposed methodology is evaluated through hardware tests, demonstrating a significant reduction in data transmission (94%) and potential cost savings of up to €5.9k/year for a single remote system. 95.6% detection accuracy of the PQ phase is obtained during experimental tests over 590 samples. Thus, this paper contributes to the vision of the smart grid and IIoT by analyzing the Power Quality (PQ) monitoring problem of a three-phase grid and showcasing the capability of the proposed framework in terms of novelty detection and data transmission cost reduction. To conclude, the proposed intelligent edge–cloud computing methodology offers a promising solution for effective condition monitoring of PESs, with potential cost savings and improved fault detection capabilities. By leveraging advanced technologies and intelligent data-driven approaches, this framework advances the goals of Industry 4.0 and paves the way for efficient and reliable industrial operations in the digital age.

Development of PLC-Based Hardware Test-Bench Prototype for Solar-Wind-Battery-Based Microgrid System’s Control Algorithm Validation

Programmable Logic Controllers (PLCs) are gaining traction in microgrid operation due to their real-time deployment, reliable and robust operation, and fast response, even in harsh environments. Recognizing the critical need for robust and reconfigurable microgrid control and operation, this research proposes a hardware test-bench prototype using the Reconfigurable Allen-Bradley—Micro820/2080-LC20-20QBB PLC to demonstrate control algorithms aiming for efficient control, energy management, and resilient microgrid automation. The design and construction of a prototype controller test bench, along with the PLC configuration, wiring diagrams, and control logic, constitute the significant contributions of this research. The proposed controller test bench’s performance is evaluated through similar condition simulations in the presence of disturbances induced by the reduced contributions of renewable energy sources, such as solar and wind. The results illustrate the effectiveness of the developed control algorithm implemented in the proposed controller, ensuring the stable operation of the microgrid. Consequently, this work advances the simulation-based validation of microgrid control algorithms and provides insights into the practical application of a PLC-based hardware test bench under various environmental conditions.

A hybrid step-up converter for PV integration with wide input variation acceptability: comprehensive performance and reliability assessment

Abstract A high-step-up DC–DC converter (DDC) is commonly used in micro-grids, renewable energy source (RES) integration, uninterruptible power supplies, hybrid vehicles, and other applications to deal with intermittency in power sources. Solar photovoltaic (SPV) is a prominent RES due to its many benefits, but its output voltage must be enhanced for high-voltage (HV) applications; hence, various topologies are suggested for desirable gain in the literature. Nevertheless, contemporary topologies exhibit restricted gain, higher device stress, analysis on restricted performance metrics, constrained handling capacity for input variations, relatively lower reliability, and suboptimal device utilization. This work investigates a new Z-source with switched-capacitor (HZSSC)-based hybrid step-up converter to solve the aforementioned restrictions and adapt PV voltage dynamics. Additionally, this paper presents MIL-HDBK-217F-based methodology for evaluating converter-level reliability, assessing the implications of device parametric variation on overall reliability, conducting a detailed analysis of figure of merits, performing thermal modeling, and executing small-signal-modeling to demonstrate operational efficacy. In-depth mathematical analysis of both continuous conduction mode (CCM) and discontinuous conduction mode (DCM) are conducted. The detailed comparison analysis shows that the suggested converter outperforms traditional converters in voltage-gain, voltage-stress, device-utilization, and reliability. Additionally, a 400 W, 220 V laboratory-scaled prototype shows 68 % reliability after 20 years. The hardware test outcomes validate the accuracy of both the mathematical investigation and simulation findings.

More Haptic Aircraft

This paper presents a comprehensive review of haptic feedback in light aircraft control. It provides an overview of the results and experiences gained from a previous research project focused on the design and testing of pilot haptic feedback hardware. The objective of this paper is to outline a roadmap for the future development of “More Haptic Aircraft,” incorporating principles of human-centred design into light aircraft cockpits equipped with the presented haptic feedback device. The roadmap provides general requirements for pilot-aircraft interaction and highlights three specific levels of functions. These functions aim to reduce the pilot’s workload and enhance situational awareness.

System design and prototyping of the CMS Level-1 Trigger at the High-Luminosity LHC

Abstract For the High-Luminosity LHC (HL-LHC) era, the trigger and data acquisition system of the CMS experiment will be entirely replaced. The HL-LHC CMS Level-1 Trigger system will consist of approximately 200 ATCA boards featuring Xilinx UltraScale+ FPGAs connected by 25 Gb/s optical links. These boards will process over 60 Tb/s of detector data within 9.5 μs of the collision to select up to 750 kHz of events for readout. In this paper, we summarise the current status of hardware tests, our progress on system integration tests, and the online software designed to control and monitor these boards.

Biomechanical comparison of composite and cadaveric humeri models in experiments on operated humeral shaft fractures

A study was undertaken to determine how well contacting fracture fragments of composite bone replicated the behavior of fracture fragments in real bone. Ten composite and ten real humeral diaphyses were transected and reconstructed with limited-contact dynamic-compression plates. Two screws were placed on each side of the transection site and a calibrated electronic sensor sheet was placed between the imitated fracture fragments. After insertion of the distal screws, pressure measurements were made during insertion of the first proximal screw in compression mode, during insertion of the second screw in compression mode after loosening the first screw, and finally after retightening the first screw. The process was repeated after bending the plate. The contact area, the net compression force and the average compressive stress were computed and statistically compared. The composite bone and cadaveric bone differed in contact area and compressive stress but not in net compressive force. Plate bending did not produce a significant difference between composite and cadaveric bone. The results indicate that composite bone does not reproduce all the local fracture fragment conditions so that hardware testing in composite bone should proceed carefully. A gap between fracture fragments as is often used in comminuted fracture tests may remain as the most appropriate situation for fracture hardware testing.

A Mathematical Programming Approach for IoT-Enabled, Energy-Efficient Heterogeneous Wireless Sensor Network Design and Implementation.

The Internet of Things (IoT) is playing a pivotal role in transforming various industries, and Wireless Sensor Networks (WSNs) are emerging as the key drivers of this innovation. This research explores the utilization of a heterogeneous network model to optimize the deployment of sensors in agricultural settings. The primary objective is to strategically position sensor nodes for efficient energy consumption, prolonged network lifetime, and dependable data transmission. The proposed strategy incorporates an offline model for placing sensor nodes within the target region, taking into account the coverage requirements and network connectivity. We propose a two-stage centralized control model that ensures cohesive decision making, grouping sensor nodes into protective boxes. This grouping facilitates shared resource utilization, including batteries and bandwidth, while minimizing box number for cost-effectiveness. Noteworthy contributions of this research encompass addressing connectivity and coverage challenges through an offline deployment model in the first stage, and resolving real-time adaptability concerns using an online energy optimization model in the second stage. Emphasis is placed on the energy efficiency, achieved through the sensor consolidation within boxes, minimizing data transmission hops, and considering energy expenditures in sensing, transmitting, and active/sleep modes. Our simulations on an agricultural farmland highlights its practicality, particularly focusing on the sensor placement for measuring soil temperature and humidity. Hardware tests validate the proposed model, incorporating parameters from the real-world implementation to enhance calculation accuracy. This study provides not only theoretical insights but also extends its relevance to smart farming practices, illustrating the potential of WSNs in revolutionizing sustainable agriculture.

Open-Source Flexible Material Tensile Testing Apparatus

Alternative food sources are essential in both low-resource settings and during emergencies like abrupt sunlight reduction scenarios. Seaweed presents a promising option but requires investigation into the viability of unconventionally sourced ropes for harvesting. In this regard, a low-cost reliable method to test the tensile strength of rope is needed to validate alternative materials for use in harvesting seaweed. Commercial rope testing jigs alone range in price from several thousand to tens of thousands of dollars, so there is interest in developing a lower-cost alternative. Addressing these needs, this article reports on an open-source design for tensile strength rope testing hardware. The hardware design focuses on using readily available parts that can be both sourced from a hardware store and manufactured with simple tools to provide the greatest geographic accessibility. The jig design, which can be fabricated for CAD 20, is two to three orders of magnitude less expensive than commercially available solutions. The jig was built and tested using a case study example investigating denim materials (of 1 5/8”, 3 1/4”, 4 7/8”, 6 1/2”, and 8 1/8” widths) as a potential alternative rope material for seaweed farming. Denim demonstrated strengths of up to 1.65 kN for the widest sample, and the jig demonstrated sufficient strength and stiffness for operations at forces below 4 kN. The results are discussed and areas for future improvements are outlined to adapt the device to other circumstances and increase the strength of materials that can be tested.