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hardware-in-loop simulation on hydrostatic thrust bearing worktable pose

Journal of Central South University 2008年第S2期15卷 250-256页

作者：韩桂华邵俊鹏秦柏董玉红 Mechanical Power Engineering College Harbin University of Science and Technology

A controllable hydrostatic thrust bearing was presented to improve rigidity. The bearing worktable poses were controlled by coupling oilfilm thickness of four controllable chambers. The chamber flow can be regulated by electro hydraulic servo valve-control variable pump according to the surface roughness, load, cutting force, and thermal effects of worktable. The mathematical models of the controllable chamber flow, servo variable mechanism and controller were built. The pose control model was established, which contained the kinematics positive and negative solution and control strategy of feedforward and hydraulic cylinder position feedback. hardware-in-loop simulation experiment was carried out on the electro hydraulic servo test bench by means of the non-linear relation of film thickness and hydraulic cylinder displacement. hardware-in-loop simulation experiment results show that the controllable bearings exhibit high oilfilm rigidity, the rising time is 0.24 s and the maximum overshoot is 2.23%, and can be applied in high precision heavy machine tool.

关键词： hydrostatic thrust bearing hardware-in-loop simulation worktable pose controllable chamber

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hardware-in-loop simulation of a satellite sensor network for distributed space applications

Hardware-in-loop simulation of a satellite sensor network fo...

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3rd NASA/ESA Conference on Adaptive hardware and Systems

作者： Wu, Xiaofeng Vladimirova, Tanya Univ Surrey Surrey Space Ctr Dept Elect Engn Guildford GU1 2AN Surrey England

ISBN: (纸本)9780769531663

In this paper a hardware-in-loop simulator is presented to demonstrate the satellite sensor network concept developed at the Surrey Space Centre under the ESPACENET project. The simulator includes software that emulates satellite orbit dynamics in Low Earth Orbit and picosatellite sensor nodes. The picosatellite currently under development is based on the CubeSat platform. The main payload will be an FPGA board that implements intellectual property cores like the LEON3 processor, a media access controller for intersatellite links, image compression, encryption, etc.. The payloads of the individual satellites are connected together via IEEE 802.11 intersatellite links to demonstrate a distributed computing plaform for future space missions.

关键词： distributed computing FPGA hardware-in-loop inter-satellite link satellite sensor network

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hardware-in-loop Test Platform for Electric Vehicle Cell Battery Management System

Hardware-In-Loop Test Platform for Electric Vehicle Cell Bat...

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International Conference on Applied Mechnics and Mechanical Engineering

作者： Wang Qing Wei Xuezhe Dai Haifeng Tongji Univ Shanghai Sch Automot Micro Lab O2 Shanghai Peoples R China

ISBN: (纸本)9780878492459

This article introduces a hardware-in-loop test platform for electric vehicle Cell Battery Management System (BMS). At first, system structure of test method is projected to make requests for a battery emulator which is the main work of test platform. Then hardware is designed to simulate the input and output signals of BMS. The model for Lithium-ion battery, hardware driver and relative algorithm are built in Matlab/Simulink. After the model is validated, automatic code generation is performed. The code is downloaded to hardware platform. This platform enables validation of BMS instead of using real batteries.

关键词： BMS battery emulator hardware-in-loop Simulink code generation

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hardware-in-loop Simulation for the energy management system development of a Plug-in hybrid electric bus

Hardware-in-Loop Simulation for the energy management system...

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Applied Energy Symposium and Summit - Low Carbon Cities and Urban Energy Systems (CUE)

作者： Yi, Lu He, Hongwen Peng, Jiankun Beijing Inst Technol Natl Engn Lab Elect Vehicles Beijing 100081 Peoples R China Beijing Inst Technol Collaborat Innovat Ctr Elect Vehicles Beijing Beijing 100081 Peoples R China

In this paper, a hardware-in-loop experiment that integrated controller area network ( CAN) monitor and evaluation function for control system is the research content, and a rule-based energy management system of plug-in hybrid electric bus (PHEB)is developed. The real-time kernel of PHEB model was downloaded into VTSystem platform for the real-time simulation system development. An driver and energy management system-in-loop experiment was carried out to verify the energy management strategy under the China Transit Bus Driving Cycle (CTBDC), and the CAN bus performance features were evaluated by CANoe software. The energy consumption per 100km includes 14.1L diesel and 11.9 kW.h electricity with an initial SoC of 85%. (C) 2016 Published by Elsevier Ltd.

关键词： Plug-in hybrid electric bus Energy management VTSystem hardware-in-loop

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hardware-in-loop Electronic Throttle System Based On Simulink

Hardware-in-loop Electronic Throttle System Based On Simulin...

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4th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA 2012)

作者： Chen, Ning Zhu, Pinchang Zhejiang Inst Mech & Elect Engn Hangzhou 310053 Zhejiang Peoples R China

ISBN: (纸本)9783037852842

The structure and the principle of the electronic throttle control system(ETCS) is elaborated. The electronic throttle(ET) control model is built based on Matlab/Simulink, and the hardware-in-loop simulation on the ET model is processed. The result shows that the hardware-in-loop electronic throttle system have significant means on the automotive electronic teaching and design.

关键词： Electronic throttle Simulink hardware-in-loop

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hardware-in-loop Simulation for PMBL DC Motor Controller of Electric Vehicles

Hardware-in-loop Simulation for PMBL DC Motor Controller of ...

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25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition Conference

作者： Jiang, Hao Zhao, Han Hefei Univ Technol Sch Machinery & Automobile Engn Tunxi Rd 193 Hefei 230009 Peoples R China

ISBN: (纸本)9789889968496

This paper presents a simulation method with hardware-in-loop simulation system for permanent-magnet brushless DC motor (PMBLDCM) controller design of Electric Vehicles, some functional blocks, including power battery pack block, PMBLDC motor block and vehicle dynamics model were built in MATLAB/Simulink development environment. In order to pursue an accurate model for PMBLDCM controller hardware-in-loop simulation, a simulation method of PMBLDCM is proposed based on air-gap magnetic flux density. By the simulation model of electric vehicle's (EV) drive system, the motor's transient characteristics have been analyzed and tested, the validity of the function and the control algorithm of PMBLDCM controller were proved by the experiment taken under ECU hardware-in-loop simulation system. The results show that the method proposed in this paper is practical for the PMBLDCM controller design of electric vehicle Copyright Form of EVS25.

关键词： hardware-in-loop permanent-magnet brushless motor modeling and simulation Controller

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hardware-in-loop Test for Automatic Voltage Regulator based on Identification Model

Hardware-In-Loop Test for Automatic Voltage Regulator based ...

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15th International Power Electronics and Motion Control Conference and Exposition (EPE-PEMC ECCE Europe)

作者： Meng, Lexuan Yang, Shanshui Wang, Li Liu, Yan Peng, Fangtao Nanjing Univ Aeronaut & Astronaut Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781467319720

This paper presents a test method for generator's core control component, automatic voltage regulator (AVR). AVR is conventionally tested in generator platform which brings about high cost and low efficiency. Nevertheless, off-line test for steady-state and dynamic performance of AVR are difficult to accomplish. In order to solve this issue, this paper explores the application of HIL technology in aircraft power control unit test and proposes an HIL test method based on generator identification model. A synchronous generator is analyzed and modeled in RT-LAB. Test loop is established by connecting AVR to realtime simulator. Steady-state and dynamic loading/unloading test results prove that this test method is effective and efficient that initially realizes off-line PID adjustment and test for AVR.

关键词： automatic voltage regulator hardware-in-loop identification model

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Efficient method for evaluation and hardware-in-loop testing of electro-optical tracking system

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OPTICAL ENGINEERING 2020年第10期59卷

作者： Singh, Manvendra Khare, Sudhir Kaushik, Brajesh Kumar Def Res & Dev Org Instruments Res & Dev Estab Dehra Dun Uttarakhand India Indian Inst Technol Elect & Commun Engn Dept Roorkee Uttarakhand India

Object tracking technology is being continually improved to ensure robust tracking performance under real conditions, such as cluttered background, fast motion, and lengthy occlusions. The performance of these video trackers depends significantly on evaluation methodologies adopted during the assessment of tracking algorithms. Most of these video trackers are evaluated using video sequences annotated with the simulated visual attributes of objects. Generating such sequences with the requisite attributes is laborious and time consuming. These annotated video sequences may fail to address real challenges;hence, the trackers must be tested using available opportunity targets in lengthy field trials. We present an innovative scheme for the hardware-in-loop testing of such video trackers for efficient evaluation under complex background scenarios. The designed simulator can provide the real-time visual characteristics of object parameters with a live background without halting the evaluation process. The proposed method facilitates the efficient evaluation of a closed-loop video tracker by providing a virtually endless video sequence containing realistic visual attributes of potential objects. In addition, the validation of the tracker's performance in realistic scenarios, the comparative performance of tracking algorithms under varying operational conditions, and an in-depth analysis of the tracker system parameters are presented. (C) 2020 Society of Photo-Optical Instrumentation Engineers (SPIE)

关键词： electro-optical video tracker hardware-in-loop pre-processing centroid and correlation

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HILP: hardware-in-loop pruning of convolutional neural networks towards inference acceleration

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NEURAL COMPUTING & APPLICATIONS 2024年第15期36卷 8825-8842页

作者： Li, Dong Ye, Qianqian Guo, Xiaoyue Sun, Yunda Zhang, Li Tsinghua Univ Dept Engn Phys Beijing 100084 Peoples R China Nuctech AI R&D Ctr Beijing 100084 Peoples R China

Successful deployment of convolutional neural networks on resource-constrained hardware platforms is challenging for ubiquitous AI applications. For latency-sensitive scenarios, real-time inference requires model compression techniques such as network pruning to achieve the purpose of inference acceleration. However, many researches focus on hardware-independent filter pruning methods, which cannot balance the contribution of pruned structure to latency and the accuracy drop. Although some pruning methods have introduced latency constraints into the pruning process, most of them are based on look-up tables, which omits the key step of hardware optimization, resulting in significant deviation in latency estimation. In this paper, we propose a novel latency-constrained pruning method, named hardware-in-loop pruning (HILP). It is based on the fast optimal pruning rate search within the layer and layer-wise hybrid pruning, which can prioritize removing the less important layers with considerable latency contributions. The proposed hardware-in-loop pipeline enables the hardware optimization module to be integrated into the entire framework. During pruning, an intermediate network architecture is automatically transformed to a deployable model for accurate latency measurement. The latency-optimized intermediate architecture is then selected by traversing all layers for next progressive step. HILP is generally applicable to any platform that provides a hardware optimization toolchain, such as NVIDIA GPU and Cambricon NPU. We evaluate HILP on both image classification task using ResNet50 with ImageNet and object detection task using YOLOv3 with COCO, HILP can reduce the inference latency of these two networks to 60% and 75%, respectively, within the range of accuracy variation not exceeding 0.6%. Extensive experiment results have proven that HILP is able to achieve a significant advantage in latency-accuracy performance compared to state-of-the-art methods.

关键词： Filter pruning Latency-constrained pruning hardware-in-loop Latency-accuracy performance

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Sliding mode control for overturning prevention and hardware-in-loop experiment of heavy-duty vehicles based on dynamical load transfer ratio prediction

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART K-JOURNAL OF MULTI-BODY DYNAMICS 2022年第1期236卷 68-83页

作者： Lu, Yongjie Han, Yinfeng Huang, Weihong Wang, Yang Shijiazhuang Tiedao Univ State Key Lab Mech Behav & Syst Safety Traff Engn Shijiazhuang 050043 Hebei Peoples R China Shijiazhuang Tiedao Univ Shijiazhuang 050043 Hebei Peoples R China

Aiming at the rollover risk of heavy-duty vehicles, an adaptive rollover prediction and control algorithm based on identification of multiple road adhesion coefficients is proposed, and the control effect has been verified by hardware-in-the-loop experiments. Based on the establishment of a 3 DOFs (Degree of freedom) vehicle dynamic model, the roll angle of the vehicle dynamic model is estimated in real time by using Kalman filter algorithm. In order to ensure the real-time operation of anti-rollover control strategy for multi-body dynamic heavy vehicle model, a sliding mode variable structure controller for anti-rollover of vehicles is designed to determine the optimal yaw moment. Specially, the recognition algorithm of road surface type is integrated into the control rollover algorithm. When the control system with road recognition algorithm recognizes whether the vehicle is in danger of rollover, it can not only adjust the state of the vehicle, but also shorten the time to reach the stable area of the vehicle's lateral load transfer rate by about 2 s. In order to further improve its adaptability and control accuracy, a hardware-in-loop test platform for three-axis heavy-duty vehicles is built to verify the proposed anti-rollover control strategy. The results prove that the proposed control strategy can accurately predict the rollover risk and control the rollover in time.

关键词： Heavy vehicles multi-body dynamic Kalman filtering differential braking sliding mode control rollover prevention control hardware-in-loop

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