bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on robust control method of permanent magnet synchronous motor
Authors: Wang Zenghui , Zhang Yingfeng , Sun Pan , Sun Jun , Zhang Junhong 
Published: April 2022

Abstract
During the operation of permanent magnet synchronous motor, the traditional vector control method does not match the regulator parameters with the actual parameters due to the disturbance factors such as motor parameter perturbation and load change, resulting in the decline of control performance. The research object of robust control is uncertain system, which has natural advantages for improving the robustness of control system. Firstly, this paper introduces the basic principle and implementation process of robust control, simulates and analyzes the influence of motor parameters on control performance, investigates and summarizes the improvement methods of traditional vector control, and points out the advantages and disadvantages of each scheme; Secondly, the similarities and differences of the improved methods are analyzed and compared; Finally, the development trend of permanent magnet synchronous motor control technology based on robust control is prospected.
Model-based Fault Detection of Rotor Position Sensor Fault in Permanent Magnet Synchronous Motor for Electric Vehicle
Authors: Zhou Nana , Kong Lingchao , Fan Jie , Wang Zhenpo 
Published: April 2022

Abstract
Permanent magnet synchronous motors (PMSMs) are widely used in drive system of electric vehicles (EVs) because of their high efficiency, wild torque range, high power density, etc. However, rotor position, as a very critical parameter for its control strategy, often faces inaccuracies in operation. In this paper, the problem of position sensor fault detection in drive system of EV was studied. The mathematical model of EV with a specific drive system was introduced in discrete form and built in Matlab/Simulink. Based on the field oriented control strategy model, a novel fault detection scheme based on the parity space for the drive system was proposed. The proposed method considered the influence of the closed-loop control to the fault detection result. A residual generator and a residual evaluator were included. The simulation results demonstrated the effectiveness and applicability of the proposed method.
Discriminator Based Resilient Multi-agent Deep Deterministic Policy Gradient Under Uncertain Faulty Agents
Authors: Wang Jing , Huang Hongyun , Hou Jian 
Published: April 2022

Abstract
In recent years, Multi-agent reinforcement learning (MARL) is widely applied in various of fields, to achieve a global goal in a centralized or distributed manner. However, during its application it is crucial to be fault-tolerance as some agents behave abnormal. In this paper, we propose a Resilient Multi-gent Deep Deterministic Policy Gradient (RMADDPG) algorithm to achieve a cooperative task in the presence of faulty agents via centralized training decentralized execution. At training stage, each normal agent observes and records information only from other normal ones, without access to the faulty ones. Meanwhile, a discriminator is generated based on the well-trained actor network to identify each faulty agent via supervised learning. Followed by executing stage, each normal agent selects its action based on local observation according to its actor network and its discriminator, so as to achieve certain system goal. Specifically, RMADDPG offers a scheme to train agents for improved resilience against arbitrary number of faulty agents. Finally, a cooperative navigation experiment is provided to validate the effectiveness of the proposed algorithm.
Optimized realization of Quantum Fourier Transform for domestic DCU accelerator
Authors: Ma Ke , Han Lin , Shang Jian-dong , Xie Jing-ming , Zhang Hao 
Published: April 2022

Abstract
Quantum Fourier Transform (QFT) is a key part of quantum algorithms such as Shor algorithm, Grover algorithm, and quantum phase estimation algorithm. The “Songshan” supercomputer system adopts the heterogeneous architecture of domestic CPU+DCU. The simulation implementation of the quantum Fourier transform on the “Songshan” supercomputer can promote the research and optimization of related quantum algorithms. Based on the HIP heterogeneous programming model, this paper first maps the phase shift transformation R gate operation of the QFT transformation to the DCU accelerator, and initially constructs the heterogeneous implementation of QFT on the “Songshan” supercomputer; then, the Hadamard gate transformation operation originally implemented on the host side was implemented on the DCU, which greatly reduces the communication overhead caused by the quantum information data transmission between the CPU and the DCU device; finally, the quantum logic gate is analyzed, and based on the operation of the phase shift transformation R gate on the probability amplitude information in the simulation algorithm, an optimization scheme to improve the activity of the DCU thread is proposed. During the experimental verification process, the realized 28-qubit quantum Fourier transform optimization has achieved 13.440 speedup compared with the serially realized QFT simulation on the CPU. The basic quantum gate optimization method based on DCU acceleration equipment in this paper can provide a reference for the efficient simulation of other quantum algorithms on domestic heterogeneous platforms.
An Improved Method of Sub-band Peak Energy Detection
Authors: Lou Wanxiang , Fu Qiren , Feng Kai 
Published: April 2022

Abstract
In order to solve the problems that the quantity of false targets is huge and the ability of target detection is poor in the conventional method of sub-band peak energy detection(SPED), an improved method of SPED is proposed. The method screens peaks based on the levels of background noise in every sub-band and then eliminates the noise peaks. These measures reduce the quantity of false targets and improve the ability for target detection. Simulation result and experimental data analysis prove its validity and superiority.
Research on HPLC Experimental Platform Component Scheme
Authors: Liang Yutu , Li Bo , Li Xingnan , Deng Xiaozhi , Lu Jiangang , Shi Zhan 
Published: April 2022

Abstract
Power line communication is a kind of communication mode which uses power line as transmission medium and carries on data transmission and information exchange through carrier. Power line has wide distribution, high economy, high transmission rate and good reliability. However, as a communication mode without special transmission media, there is still a lack of power line communication experimental platform in the industrial field. The communication experiment platform is composed of power line carrier field test platform, protocol consistency test platform, interconnection test platform and courts simulation platform. In this paper, the design scheme of the experimental platform is proposed from the aspects of hardware and software respectively. In terms of technology, the requirements of reliability, efficiency, enforceability and practicability are fully considered.
Complete Coverage Path Planning of Underwater Wall-climbing Cleaning Robot
Authors: Wang Peng , Li Qian , Zhang Lei , Xu Yulong 
Published: April 2022

Abstract
Aiming at the special working environment of the underwater wall-climbing cleaning robot and the low efficiency and poor universality of the complete coverage path planning algorithm in this environment, a complete coverage path planning algorithm based on enclosing window is proposed. Firstly, the robot’s floating system is briefly introduced. Then, the grid map method is used to model the environment, and the traversal priority order of the single-layer enclosing window is determined according to different grid maps. Finally, when the robot falls into the dead corner, the diffusible water-ripple enclosing window search algorithm is used to find the escape grid, then the robot escapes from dead corner and continues to traverse until all traversable grids are traversed. The simulation results show that the method in this paper can not only achieve 100% full coverage and 0% repetition rate, but also reduce path length. It has higher planning efficiency in underwater environments, and has better applications.
Identification of voltage sag source based on Improved GRA
Authors: Li Ma , Dong Pengyuan 
Published: April 2022

Abstract
Accurate identification of fault source causing voltage sag is of great significance to the governance and further research of voltage sag. In this paper, a voltage sag source identification method based on improved grey correlation analysis (GRA) is proposed. In view of the deficiency that the traditional GRA only considers the similarity, the proposed method considers the geometric area and slope of sequence into the calculation of correlation coefficient, so that the improved GRA has attributes of both sequence similarity and data closeness. Eight features are extracted from six common types of sag waveforms to form standard and test sequence; The improved GRA is used to calculate the correlation degree between the test and standard sequences, then the identification of sag source can be realized. Simulation model is built in MATLAB. Results show that this proposed method can effectively identify the voltage sag source. Compared with the traditional GRA, this method has higher identification accuracy and stronger identification ability.
Research on Process Control Strategy of Asphalt Tank Inventory Based on Dynamic Programming Algorithm in Post Epidemic Era
Authors: Pang Dong 
Published: April 2022

Abstract
Based on the background of post epidemic era, starting with the traditional industrial inventory process control, this paper discusses the dynamic inventory process control strategy under the asphalt tank inventory mode, and analyzes the intelligent inventory mode under the trend of intelligent logistics through the dynamic programming method, so as to provide reference for the development direction of intelligent inventory of unconventional storage materials such as chemical industry and energy. At the same time, with the recurrence of short-term epidemic and the dilemma of low return to work and production rate, through the integration and interconnection of mobile communication, intelligent analysis, digital management and other technologies with all links, the strategies of inventory dynamic control, inventory risk control, improving inventory efficiency and optimizing inventory cost are put forward.
Rapid Reduction Dimensionality Transfer Alignment Method Based on CKF for SINS of Ship-borne Aircraft with GNSS Assistance
Authors: Wang Yongjun , Xu Jingshuo , Gao Fengjuan 
Published: April 2022

Abstract
Aiming at the problem of rapid transfer alignment of inertial navigation system in shipborne environment with large azimuth misalignment angle, a dimension reduction fast transfer alignment scheme of shipborne aircraft inertial navigation system based on CKF algorithm is designed. Firstly, the nonlinear attitude error equation, velocity error equation and position error equation of the Global Navigation Satellite System (GNSS) assisted strapdown inertial navigation system in the case of large azimuth misalignment are analyzed. Secondly, the nonlinear dimensionality reduction rapid transfer alignment state equation and measurement equation are derived. Finally, the CKF algorithm is simulated and verified, and compared with EKF algorithm and UKF algorithm. The simulation results show that the reduced dimension fast transfer alignment method of shipborne aircraft inertial navigation system based on CKF algorithm can complete the estimation of attitude error angle in 80s, with horizontal estimation error of 1’ and azimuth error of 4’, and the estimation accuracy is equivalent to EKF and UKF, with less calculation and better rapidity.
SMX and front-end board tester for CBM readout chain
Authors: Zabołotny W.M. , Emschermann D. , Gumiński M. , Kruszewski M. , Lehnert J. , Miedzik P. , Poźniak K. , Romaniuk R. , Schmidt C.J. 
Published: April 2022

Abstract
The STS-MUCH-XYTER (SMX) chip is a front-end ASIC dedicated to the readout of Silicon Tracking System (STS) and Muon Chamber (MUCH) detectors in the Compressed Baryonic Matter (CBM) experiment. The production of the ASIC and the front-end boards based on it is just being started and requires thorough testing to assure quality. The paper describes the SMX tester based on a standard commercial Artix-7 FPGA module with an additional simple baseboard. In the standalone configuration, the tester is controlled via IPbus and enables full functional testing of connected SMX, front-end board (FEB), or a full detector module. The software written in Python may easily be integrated with higher-level testing software.
BLEMAB European project: muon imaging technique applied to blast furnaces
Authors: Bonechi L. , Ambrosino F. , Andreetto P. , Bonomi G. , Borselli D. , Bottai S. , Buhles T. , Calliari I. , Checchia P. , Chiarotti U. , Cialdai C. , Ciaranfi R. , Cimmino L. , Ciulli V. , D’Alessandro R. , D’Errico M. , Ferretti R. , Finke F. , Franzen A. , Glaser B. , Gonzi S. , Liu Y. , Lorenzon A. , Masone V. , Nechyporuk O. , Pezzato L. , Rangavittal B.V. , Ressegotti D. , Saracino G. , Sauerwald J. , Starodubtsev O. , Viliani L. 
Published: April 2022

Abstract
The BLEMAB European project (BLast furnace stack density Estimation through on-line Muon ABsorption measurements), evolution of the previous Mu-Blast European project, is designed to investigate in detail the capability of muon radiography techniques applied to the imaging of a blast furnace’s inner zone. In particular, the geometry and size of the so called “cohesive zone”, i.e. the spatial zone where the slowly downward moving material begins to soften and melt, that plays an important role in the performance of the blast furnace itself. Thanks to the high penetration power of the natural cosmic ray muon radiation, muon transmission radiography represents an appropriate non-invasive methodology for imaging large high-density structures such as blast furnaces, whose linear size can be up to a few tens of meters. A state-of-the-art muon tracking system, whose design profits from the long experience of our collaboration in this field, is currently under development and will be installed in 2022 at a blast furnace on the ArcelorMittal site in Bremen (Germany) for many months. Collected data will be exploited to monitor temporal variations of the average density distribution inside the furnace. Muon radiography results will also be compared with measurements obtained through an enhanced multipoint probe and standard blast furnace models.
Performance of the ALICE upgraded inner tracking system
Authors: Liu J. 
Published: April 2022

Abstract
Major upgrades of the ALICE (A Large Ion Collider Experiment) detector are underway and will be completed during the LHC long shutdown 2 in order to start operation in 2022 for LHC run 3. One key part of this upgrade is the new Inner Tracking System (ITS2), a full silicon-pixel detector constructed entirely with CMOS monolithic active pixel sensors. The upgraded ITS2 detector consists of three inner layers (50 μm thick sensors) and four outer layers (100 μm thick sensors) covering 10 m2 and containing 12.5 billion pixels with a pixel pitch of 27 μm × 29 μm. Compared with the silicon tracking system used during the LHC run 1 and run 2, the increased granularity, the very low material budget (0.35% X
0/layer in the inner barrel) as well as a smaller beam pipe radius, will result in a significant improvement of impact-parameter resolution and tracking efficiency. The assembly of the detector and services finished in December 2019, and the detector was fully installed in the ALICE experiment in May 2021. A comprehensive commissioning phase (on the surface) was completed in December 2020 to validate the detector performance. In this paper, an overview of the design and construction, as well as the performance of the ITS2 studied from the on-surface commissioning will be discussed in detail.
Irradiation of VFAT3: a 128-channel charge-sensitive front-end device for the CMS GEM phase-2 upgrade
Authors: Irshad A. , Aspell P. , De Lentdecker G. , Licciulli F. , Robert F. , De Robertis G. 
Published: April 2022

Abstract
VFAT3 is a 128-channel charge-sensitive front-end ASIC explicitly designed for the CMS GEM phase-2 upgrades. LHC is undergoing major upgrades for HL-LHC, where the particle rate is expected to increase up to 5 times with respect to the nominal LHC luminosity of 1034 cm−2 s−1. It is, therefore, necessary to monitor the evolution of the VFAT3 response due to aging in the radiation environment by total ionizing dose (TID) test. The device operation could also be interrupted by a single high-energy particle. Thus, the estimation of the single event upset (SEU) cross-section is essential as well. We summarize irradiation test results that validate the suitability of VFAT3 for CMS GEM upgrade.
The charge sensitivity calibration of the upgraded ALICE Inner Tracking System
Authors: Yuan S. , Alme J. , Keil M. , Ravasenga I. , Richter M. , Röhrich D. 
Published: April 2022

Abstract
The ALICE detector is undergoing an upgrade for run 3 at the LHC. A new Inner Tracking System (ITS) is part of this upgrade. The upgraded ALICE ITS features the ALPIDE, a monolithic active pixel sensor. Due to IC fabrication variations and radiation damage, the threshold values for the ALPIDE chips in the ITS need to be measured and adjusted periodically to ensure the quality of data. The calibration is implemented within the ALICE Online-Offline (O2) computing system, thus it runs in the same framework as the normal operations. This paper describes the concept and first implementation of the charge sensitivity scanning procedures for the upgraded ALICE ITS in the ALICE O2 system, and demonstrates the first results of the scanning of the data taken from the installed ITS.
Design of detectors at the electron ion collider with artificial intelligence
Authors: Fanelli C. 
Published: April 2022

Abstract
Artificial Intelligence (AI) for design is a relatively new but active area of research across many disciplines. Surprisingly when it comes to designing detectors with AI this is an area at its infancy. The electron ion collider is the ultimate machine to study the strong force. The EIC is a large-scale experiment with an integrated detector that extends for about ±35 meters to include the central, far-forward, and far-backward regions. The design of the central detector is made by multiple sub-detectors, each in principle characterized by a multidimensional design space and multiple design criteria also called objectives. Simulations with Geant4 are typically compute intensive, and the optimization of the detector design may include non-differentiable terms as well as noisy objectives. In this context, AI can offer state of the art solutions to solve complex combinatorial problems in an efficient way. In particular, one of the proto-collaborations, ECCE, has explored during the detector proposal the possibility of using multi-objective optimization to design the tracking system of the EIC detector. This document provides an overview of these techniques and recent progress made during the EIC detector proposal. Future high energy nuclear physics experiments can leverage AI-based strategies to design more efficient detectors by optimizing their performance driven by physics criteria and minimizing costs for their realization.
Study of the dosimetric properties of CaSO4:Dy using OSL technique
Authors: Gasparian P.B.R. , Malthez A.L.M.C. , Yoshimura E.M. , Umisedo N.K. , Campos L.L. 
Published: April 2022

Abstract
Calcium sulfate doped with dysprosium (CaSO4:Dy) has been used for personal dosimetry using the thermoluminescence (TL) technique for decades and its TL properties are well-known. Considering the advantages of the OSL technique (relatively simple and faster readout and detector reusability) and the potential application
of CaSO4:Dy as an OSL detector, this study aimed to investigate the dosimetric properties of CaSO4:Dy using the OSL technique. The present study was carried out using CaSO4:Dy pellets prepared at IPEN irradiated and read in a TL/OSL Risø reader with blue light stimulation and Hoya U-340 filter. OSL dosimetric properties essentially dose response, reproducibility, and fading characteristics were evaluated. Moreover, TL and OSL signals were compared to study the correlation between OSL signals and TL peaks. CaSO4:Dy OSL response is linear from 0.1 to 10 Gy and shows reproducibility better than 5%. The low-temperature TL peak is unstable; however, the OSL signal seems to be associated with higher-temperature peaks.
Sharjah Lunar Impact Observatory (SLIO)
Authors: Talafha M.F. , Abdulla A.E.M. , Azmi M.M. , Al-Naimiy H.M. , Al-Wardat M.A. 
Published: April 2022

Abstract
We present a detailed description of Sharjah Lunar Impact Observatory (SLIO), the only source of lunar impact observations in the Middle East and North Africa region. The Observatory was established on February 29th, 2020. It is located inside the campus of the Sharjah Academy of Astronomy, Space Sciences and Technology (SAASST), which is part of the University of Sharjah (UoS), Sharjah, United Arab Emirates. The coordinates of the Observatory are 25°17'02.1"N 55°27'48.4"E, with an altitude of 80 m above the sea level.
It is equipped with a 14" LX 200 ACF Schmidt-Cassegrain Meade telescope with a focal ratio of 10 (f/10). The camera is a high-sensitivity Watec video camera of the model 902H Ultimate utilizing a 0.5" monochrome CCD Sony ICX439ALL sensor. It can record 25 fps with a resolution of 720 × 576 pixels.
One of SLIO's results is recording a lunar impact detection on March 1st, 2020, at 16:54:22.969 UT, which was confirmed by the NELIOTA project in Greece. The flash magnitude of the impact was found to be 7.94 ± 0.36. The analysis estimated the mass of the impactor as 1.919 kg with a cometary origin, with a radius of 17.36 cm, and create a crater with a diameter around 2.84 m.
Development of a real-time cavity-based injection efficiency monitor system at SSRF
Authors: Cao S. , Lai L. , Gao B. , Leng Y. , Yuan R. , Zhou W. , Chen J. 
Published: April 2022

Abstract
Injection efficiency is a critical parameter for synchrotron
radiation facilities, especially those operating in top-up mode. The
Shanghai Synchrotron Radiation Facility (SSRF) started top-up
operation in 2012 committed to providing users with higher-quality
light sources. During the top-up operation, a regular injection from
the booster to the storage ring is required. A low-efficiency
injection system will massively increase the radiation dose and
seriously threaten the health of users. To evaluate the performance
of the injection system, a real-time injection efficiency
measurement system with high-resolution and high reliability is
indispensable. Instead of using an integrating current transformer
(ICT) that requires extremely careful shielding and grounding, a new
system uses a novel dual-cavity monitor that can generate a high
signal-to-noise ratio (SNR) and narrowband signal to detect bunch
charges. It aims to reduce the influence of electromagnetic
interference on the system and improve the reliability and
resolution of the system. This paper describes the establishment of
a cavity-based injection efficiency measurement system and focuses
on bunch charge calibration and tests of the system resolution and
injection efficiency. The test results show that the system
resolution is 0.34% and the average injection efficiency is close
to 90% at regular top-up operation.