scholarly journals Design and Measurement of a Dual FBG High-Precision Shape Sensor for Wing Shape Reconstruction

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 168
Author(s):  
Huifeng Wu ◽  
Lei Liang ◽  
Hui Wang ◽  
Shu Dai ◽  
Qiwei Xu ◽  
...  
Keyword(s):  
High Precision ◽  
Optimal Solution ◽  
Reconstruction Error ◽  
Shape Reconstruction ◽  
Wing Shape ◽  
Vertical Force ◽  
Factors Affecting ◽  
Sensor Model ◽  
Test Platform ◽  
Specimen Shape

FBG shape sensors based on soft substrates are currently one of the research focuses of wing shape reconstruction, where soft substrates and torque are two important factors affecting the performance of shape sensors, but the related analysis is not common. A high-precision soft substrates shape sensor based on dual FBGs is designed. First, the FBG soft substrate shape sensor model is established to optimize the sensor size parameters and get the optimal solution. The two FBG cross-laying method is adopted to effectively reduce the influence of torque, the crossover angle between the FBGs is 2α, and α = 30° is selected as the most sensitive angle to the torquer response. Second, the calibration test platform of this shape sensor is built to obtain the linear relationship among the FBG wavelength drift and curvature, rotation radian loaded vertical force and torque. Finally, by using the test specimen shape reconstruction test, it is verified that this shape sensor can improve the shape reconstruction accuracy, and that its reconstruction error is 6.13%, which greatly improves the fit of shape reconstruction. The research results show that the dual FBG high-precision shape sensor successfully achieves high accuracy and reliability in shape reconstruction.

scholarly journals High-Precision Soil Moisture Mapping Based on Multi-Model Coupling and Background Knowledge, Over Vegetated Areas Using Chinese GF-3 and GF-1 Satellite Data

2020 ◽  
Vol 12 (13) ◽  
pp. 2123 ◽  
Author(s):  
Leran Han ◽  
Chunmei Wang ◽  
Tao Yu ◽  
Xingfa Gu ◽  
Qiyue Liu
Keyword(s):  
Soil Moisture ◽  
High Precision ◽  
Satellite Data ◽  
Solution Method ◽  
Pearson Correlation ◽  
Optimal Solution ◽  
Background Knowledge ◽  
Optical Data ◽  
Inversion Method ◽  
Synthetic Aperture Radar Data

This paper proposes a combined approach comprising a set of methods for the high-precision mapping of soil moisture in a study area located in Jiangsu Province of China, based on the Chinese C-band synthetic aperture radar data of GF-3 and high spatial-resolution optical data of GF-1, in situ experimental datasets and background knowledge. The study was conducted in three stages: First, in the process of eliminating the effect of vegetation canopy, an empirical vegetation water content model and a water cloud model with localized parameters were developed to obtain the bare soil backscattering coefficient. Second, four commonly used models (advanced integral equation model (AIEM), look-up table (LUT) method, Oh model, and the Dubois model) were coupled to acquire nine soil moisture retrieval maps and algorithms. Finally, a simple and effective optimal solution method was proposed to select and combine the nine algorithms based on classification strategies devised using three types of background knowledge. A comprehensive evaluation was carried out on each soil moisture map in terms of the root-mean-square-error (RMSE), Pearson correlation coefficient (PCC), mean absolute error (MAE), and mean bias (bias). The results show that for the nine individual algorithms, the estimated model constructed using the AIEM (mv1) was significantly more accurate than those constructed using the other models (RMSE = 0.0321 cm³/cm³, MAE = 0.0260 cm³/cm³, and PCC = 0.9115), followed by the Oh model (m_v5) and LUT inversion method under HH polarization (mv2). Compared with the independent algorithms, the optimal solution methods have significant advantages; the soil moisture map obtained using the classification strategy based on the percentage content of clay was the most satisfactory (RMSE = 0.0271 cm³/cm³, MAE = 0.0225 cm³/cm³, and PCC = 0.9364). This combined method could not only effectively integrate the optical and radar satellite data but also couple a variety of commonly used inversion models, and at the same time, background knowledge was introduced into the optimal solution method. Thus, we provide a new method for the high-precision mapping of soil moisture in areas with a complex underlying surface.

On the estimation of optimal state-of-charge trajectory for plug-in hybrid electric buses using trip information

2021 ◽  
pp. 095440702110410
Author(s):  
Naser Sina ◽  
Vahid Esfahanian ◽  
Mohammad Reza Hairi Yazdi
Keyword(s):  
Fuel Economy ◽  
Dynamic Programming Algorithm ◽  
Optimal Solution ◽  
State Of Charge ◽  
Estimation Accuracy ◽  
Programming Algorithm ◽  
Factors Affecting ◽  
Optimal State ◽  
Energy Management Systems ◽  
Hybrid Electric

Plug-in hybrid electric buses are a viable solution to increase the fuel economy. In this framework, precise estimation of optimal state-of-charge trajectory along the upcoming driving cycle appears to play a pivotal role in the way to approach the globally optimal fuel economy. This paper aims to conduct a parametric study on the key factors affecting the estimation of optimal state-of-charge trajectory, including trip information availability and trip segment distance, and to provide a guideline for the design and implementation of predictive energy management systems. To accomplish this, the dynamic programming algorithm is employed to obtain the solution of optimal control problem for the sampled driving cycles in a particular bus route. A large database comprising of driving features of the cycles and the optimal solution is developed which then is used to construct a neural network based estimator for obtaining the optimal state-of-charge trajectory. The main results show promising performance of the proposed method with about 76% reduction in the root mean square error of the estimated trajectory comparing to the linear state-of-charge trajectory assumption. Moreover, the robustness of the estimator is verified through simulation and it is observed that appropriate choice of trip segment distance is vital to improve the estimation accuracy, especially in case of uncertain prediction of trip information.

scholarly journals Approaches to the robotization of agricultural mobile machines

2018 ◽  
Vol 161 ◽  
pp. 03014 ◽  
Author(s):  
Vladimir Serebrenny ◽  
Madin Shereuzhev ◽  
Ivan Metasov
Keyword(s):  
High Precision ◽  
Modern Technology ◽  
The State ◽  
Agricultural Machinery ◽  
Factors Affecting ◽  
Technological Processes ◽  
Autonomous Machines ◽  
Autonomous Movement ◽  
Technical Solutions ◽  
Agricultural Machines

Agriculture is the extremely important and developing economic movement in all times. Automation of agricultural machines occurs by different ways. One way is through the creation of specialized technical solutions for the required technological processes, another way is the construction of automatic agricultural machines, including mobile ones. The state of modern technology allows to create autonomous machines. The agriculture robotization trends are the high precision and unmanned farming. The article considers the issues of robotization of agricultural machinery. Stages of robotization of agricultural mobile machines were analyzed. The factors affecting the autonomous movement of mobile agrorobots were shown.

scholarly journals Parameter Identification of the Vortex-Induced Vertical Force Model Using a New Adaptive PSO

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Xiaoxia Tian ◽  
Jingwen Yan ◽  
Chi Xiao
Keyword(s):  
Optimal Solution ◽  
Time History ◽  
Vertical Displacement ◽  
Force Model ◽  
Vertical Force ◽  
Inertia Weight ◽  
Adaptive Pso ◽  
Short Run ◽  
History Of ◽  
Searching Ability

The paper proposes a new adaptive PSO (NAPSO) that adaptively adjust the inertial weight of every particle according to its own current fitness. In NAPSO, the searching ability of each particle is controlled by the inertial weight. In pursuit of the optimal solution, if a particle has a rather small value of normalized fitness, it has a small inertia weight so as to increase local searching ability; on the contrary, it has a large inertia weight to increase global searching ability. Simulation results include three parts: the NAPSO shows fast convergence and good stability compared with other PSOs; the NAPSO shows good fit and short run-time compared with GA and GALMA; according to the identified parameters, the time history of predicted vertical displacement is quite in accordance with the time history of measured displacement. As far as the nonlinear VIVF model is concerned, the NAPSO is a simple and effective identification method.

Simulation Research on Test Platform of Wave Energy Hydraulic Conversion System in Laboratory Based on AMEsim

2012 ◽  
Vol 220-223 ◽  
pp. 1711-1714
Author(s):  
Shou Jun Wang ◽  
Qi Qiang Liu
Keyword(s):  
Power Generation ◽  
Energy Loss ◽  
Working Conditions ◽  
Dynamic Characteristics ◽  
Wave Energy ◽  
Wave Power ◽  
Simulation Research ◽  
Factors Affecting ◽  
Test Platform ◽  
Conversion System

The test platform of wave energy hydraulic conversion system is built up in the laboratory, which used to analyze the factors affecting the efficiency of wave power generation under the premise of simulating actual working conditions at sea with the maximum extent possible. This paper described the basic components and established the AMEsim model of the test platform, while we simulated the test platform based on AMEsim and researched the dynamic characteristics of the test platform and analyzed the energy loss of the system.

Design of the Novel Calibration Platform for Piezoelectric Dynamometers

2012 ◽  
Vol 580 ◽  
pp. 3-6
Author(s):  
Chang Yin Gao ◽  
Wan Quan Li
Keyword(s):  
High Precision ◽  
Force Sensor ◽  
Vertical Force ◽  
The Novel ◽  
Calibration Standard ◽  
Static Calibration ◽  
High Rigidity ◽  
Two Component ◽  
Torque Load ◽  
Component Force

In order to accomplish the static calibration of piezoelectric dynamometer, the principle and structure of a multifunctional high-precision, high rigidity static calibration platform is manufactured in this paper. The screw loading mechanisms are used to achieve vertical force and horizontal forces, and its value can directly obtained by the standard measuring ring. The torque load adopts “force × lever arm" law, that is, the two horizontal loading mechanisms are relatively shifted to form force arm, and at the same time two parallel forces that have the same magnitude and opposite directions are generated. After accuracy and rigidity experiments, the static calibration platform has reached the calibration standard stipulated by CIRP-STCC. Undoubtedly, the calibration platform can use to calibrate unidirectional force, two component force sensor, three-component piezoelectric dynamometer and the drilling dynamometer, such as sensitivity, linearity, repeatability, hysteresis and crosstalk.

scholarly journals The Shear Testing Programme 2: Factors affecting high-precision weak-lensing analyses

2007 ◽  
Vol 376 (1) ◽  
pp. 13-38 ◽  
Author(s):  
Richard Massey ◽  
Catherine Heymans ◽  
Joel Bergé ◽  
Gary Bernstein ◽  
Sarah Bridle ◽  
...  
Keyword(s):  
High Precision ◽  
Weak Lensing ◽  
Shear Testing ◽  
Factors Affecting ◽  
Testing Programme

Research and Development of a Test Platform for Synthetic Performance Parameters of Linear Motors

2011 ◽  
Vol 383-390 ◽  
pp. 4486-4491
Author(s):  
Zhong Quan Luan ◽  
Hu Yan Ji ◽  
Qing Dong Yang
Keyword(s):  
Research And Development ◽  
High Precision ◽  
Virtual Instrument ◽  
High Speed ◽  
Linear Motor ◽  
Cnc Machine Tools ◽  
Performance Parameters ◽  
Cnc Machine ◽  
Linear Motors ◽  
Test Platform

Linear Motors have been used more and more widely in high precision and high-speed linear motion for CNC machine tools, but uniform testing standards and methods for linear motor performance have not been established in China. Based on the virtual instrument software platform by means of computer technology, research and development of the test platform for synthetic performance parameters of linear motors can realize the rapid and accurate measurement, automatic storage and processing of linear-motor output, currents, positions, temperatures and other performance parameters. , Meanwhile, the platform can also provide the technical direction for design or improvement of linear motors, and technically support the formulation of related standards. Experiments showed that the test platform for synthetic performance parameters of linear motors can achieve high precision and automatic measurement to meet the testing requirements for synthetic performance of linear motors.

scholarly journals A Fast and Efficient Measurement System for Nuclear Spin Relaxation Times in Atomic Vapors

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4863
Author(s):  
Ting Huang ◽  
Cunxiao Miao ◽  
Shuangai Wan ◽  
Xiaoqian Tian ◽  
Rui Li
Keyword(s):  
Relaxation Time ◽  
High Precision ◽  
Relaxation Times ◽  
Test System ◽  
Cell Performance ◽  
Test Scheme ◽  
Vapor Cell ◽  
Test Platform ◽  
Time Test ◽  
Measurement Efficiency

With the rapid progress of cutting-edge research such as quantum measurement technology, nuclear magnetic resonance (NMR) gyroscopes represent a major development direction of high-precision micro-miniature gyroscopes, which have significant advantages such as high precision, small size, and low power consumption. It is meaningful to measure the relaxation times of noble-gas atoms which are crucial indicators to accurately and quickly characterize the vapor cell performance as a core component of gyroscopes. In this paper, a test platform for relaxation time is built and an automatic relaxation time test system based on free induction decay (FID) and the π pulse method is designed to accelerate the relaxation time test. Firstly, the formula of the atomic dynamic process based on the Bloch equation was deduced, a GUI (Graphical User Interface) simulation based on the derived differential equation was conducted, and the moving process of the magnetic moment was visually described. Then, the virtual instrument was used to integrate multiple test instruments into an auto-test system, and LabVIEW programming was used for control to realize the automation of the test process on the test platform. Finally, the test results in different conditions were compared. The results show that the test system is stable and reliable with excellent man–machine interaction, and the measurement efficiency was increased by about 185%, providing an effective test scheme for vapor cell performance.

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