Research of Linear Differential Hall Sensor Modeling and Output Characteristics Experiment

2011 ◽  
Vol 383-390 ◽  
pp. 1488-1494 ◽  
Author(s):  
Zhao Yun Qiu ◽  
Zong Bao Zhang ◽  
Qi Tao Liu ◽  
Guang Dong Jiang
Keyword(s):  
Signal Amplitude ◽  
Hall Sensor ◽  
Current Sensor ◽  
Sensor Model ◽  
Differential Voltage ◽  
Linearity Error ◽  
Linear Differential ◽  
Output Characteristics ◽  
Sensor Modeling ◽  
Mode Interference

The purpose of this paper is to model and study linear differential Hall sensor. A component for linear differential Hall sensor model was constructed, then a number of experiments were performed to check its output characteristics and temperature characteristics.Two Hall-components formed a linear differential Hall model,which had two independent outputs outputing differential voltage. The results show that the model significantly reduces quiescent output voltage, the signal amplitude increased 99.5%, sensitivity ≥ 40mV/mT, linearity error ≤ 0.5%, zero drift coefficient ≤0.023mV/°C.It is concluded that outputing differential voltage can prohibit common-mode interference and zero shift.The model will has self temperature compensation and nonlinear correctiion.In the future ,this model will practicaly in the current sensor.

Outlier Detection for Soft-Sensor Modeling Data Based on k-Nearest Neighbor

2012 ◽  
Vol 468-471 ◽  
pp. 2504-2509
Author(s):  
Qiang Da Yang ◽  
Zhen Quan Liu
Keyword(s):  
Outlier Detection ◽  
Nearest Neighbor ◽  
Detection Method ◽  
Soft Sensor ◽  
K Nearest Neighbor ◽  
Sensor Model ◽  
Sensor Technique ◽  
On Line ◽  
Modeling Data ◽  
Sensor Modeling

The on-line estimation of some key hard-to-measure process variables by using soft-sensor technique has received extensive concern in industrial production process. The precision of on-line estimation is closely related to the accuracy of soft-sensor model, while the accuracy of soft-sensor model depends strongly on the accuracy of modeling data. Aiming at the special character of the definition for outliers in soft-sensor modeling process, an outlier detection method based on k-nearest neighbor (k-NN) is proposed in this paper. The proposed method can be realized conveniently from data without priori knowledge and assumption of the process. The simulation result and practical application show that the proposed outlier detection method based on k-NN has good detection effect and high application value.

Side Scan Sonar Modeling for Maritime Robotic Operations

2012 ◽  
Vol 152-154 ◽  
pp. 1195-1201
Author(s):  
Kuan Meng Tan ◽  
Tien Fu Lu ◽  
Amir Anvar
Keyword(s):  
Autonomous Underwater Vehicle ◽  
Underwater Vehicle ◽  
Simulation Framework ◽  
Test Bed ◽  
Side Scan Sonar ◽  
Sensor Model ◽  
Sonar Sensor ◽  
Key Aspects ◽  
The University ◽  
Sensor Modeling

One of the key aspects in designing an Autonomous Underwater Vehicle (AUV) simulation framework is sensor modeling. This paper presents specifically the underwater sonar sensor modeling structure used in the proposed AUV simulation framework. This sensor model covers the mathematical aspects from the field of acoustics which mimics real world sensors. Simplified sonar signal models are widely used however rarely discussed in the literature. Based on this designed simulation framework, simple scenario using different sonar configuration is shown and discussed. This paper shows the formulation of a typical side-scan sonar with emphasis on the assumptions which leads to the simplification of the sonar model. The sonar sensor model is built based on a developed AUV test-bed which was done previously in the University of Adelaide.

Modeling of upset sensor operation for autonomous unmanned systems applications

2019 ◽  
Vol 7 (1) ◽  
pp. 19-34 ◽  
Author(s):  
Mofetoluwa Fagbemi ◽  
Mario G. Perhinschi ◽  
Ghassan Al-Sinbol
Keyword(s):  
Flight Control ◽  
Simulation Environment ◽  
Control Laws ◽  
Content Type ◽  
Autonomous Flight ◽  
Operational Conditions ◽  
Analysis And Design ◽  
Sensor Model ◽  
Comprehensive Framework ◽  
Sensor Modeling

Purpose The purpose of this paper is to develop and implement a general sensor model under normal and abnormal operational conditions including nine functional categories (FCs) to provide additional tools for the design, testing and evaluation of unmanned aerial systems within the West Virginia University unmanned air systems (UAS) simulation environment. Design/methodology/approach The characteristics under normal and abnormal operation of various types of sensors typically used for UAS control are classified within nine FCs. A general and comprehensive framework for sensor modeling is defined as a sequential alteration of the exact value of the measurand corresponding to each FC. Simple mathematical and logical algorithms are used in this process. Each FC is characterized by several parameters, which may be maintained constant or may vary during simulation. The user has maximum flexibility in selecting values for the parameters within and outside sensor design ranges. These values can be set to change at pre-defined moments, such that permanent and intermittent scenarios can be simulated. Sensor outputs are integrated with the autonomous flight simulation allowing for evaluation and analysis of control laws. Findings The developed sensor model can provide the desirable levels of realism necessary for assessing UAS behavior and dynamic response under sensor failure conditions, as well as evaluating the performance of autonomous flight control laws. Research limitations/implications Due to its generality and flexibility, the proposed sensor model allows detailed insight into the dynamic implications of sensor functionality on the performance of control algorithms. It may open new directions for investigating the synergistic interactions between sensors and control systems and lead to improvements in both areas. Practical implications The implementation of the proposed sensor model provides a valuable and flexible simulation tool that can support system design for safety purposes. Specifically, it can address directly the analysis and design of fault tolerant flight control laws for autonomous UASs. The proposed model can be easily customized to be used for different complex dynamic systems. Originality/value In this paper, information on sensor functionality is fused and organized to develop a general and comprehensive framework for sensor modeling at normal and abnormal operational conditions. The implementation of the proposed approach enhances significantly the capability of the UAS simulation environment to address important issues related to the design of control laws with high performance and desirable robustness for safety purposes.

scholarly journals Analysis of Simulated Output Characteristics of Gas Sensor Based on Graphene Nanoribbon

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
A. Mahmoudi ◽  
M. Troudi ◽  
Y. Bergaoui ◽  
P. Bondavalli ◽  
N. Sghaier
Keyword(s):  
Gas Sensor ◽  
Gas Sensing ◽  
Channel Length ◽  
Graphene Nanoribbon ◽  
Sensor Model ◽  
Current Voltage ◽  
Output Characteristics ◽  
The Right ◽  
New Generation ◽  
The Given

This work presents simulated output characteristics of gas sensor transistors based on graphene nanoribbon (GNRFET). The device studied in this work is a new generation of gas sensing devices, which are easy to use, ultracompact, ultrasensitive, and highly selective. We will explain how the exposure to the gas changes the conductivity of graphene nanoribbon. The equations of the GNRFET gas sensor model include the Poisson equation in the weak nonlocality approximation with proposed sensing parameters. As we have developed this model as a platform for a gas detection sensor, we will analyze the current-voltage characteristics after exposure of the GNRFET nanosensor device to NH3gas. A sensitivity of nearly 2.7% was indicated in our sensor device after exposure of 1 ppm of NH3. The given results make GNRFET the right candidate for use in gas sensing/measuring appliances. Thus, we will investigate the effect of the channel length on the ON- and OFF-current.

Effect of Conformable Substrate Thickness on an Eddy Current Sensor Array’s Output Characteristics

2011 ◽  
Vol 335-336 ◽  
pp. 1503-1507
Author(s):  
Jin Qiang Du ◽  
Yu Ting He ◽  
Hua Ding ◽  
Hai Wei Zhang ◽  
Li Ming Wu
Keyword(s):  
Finite Element ◽  
Eddy Current ◽  
Sensor Array ◽  
Element Model ◽  
Current Sensor ◽  
Substrate Thickness ◽  
Eddy Current Sensor ◽  
Sensor Fabrication ◽  
Output Characteristics ◽  
Couple Method

A finite element model of an eddy current sensor array is built up by electromagnetic-circuit couple method, and the influences of conformable substrate thickness on sensor’s output characteristics are analyzed by the model. It is shown that the amplitude of sensing coils’ output would diminish as substrate thickness increased, besides, the discrepancies of sensing coils’ output also decrease when the substrate becoming thicker. Therefore tt is necessary to make the conformable substrate as thin as possible in sensor fabrication process to enhance the crack inspecting ability of the sensor.

Simulation Analysis of Conformable Substrate on an Eddy Current Sensor Array’s Output Characteristics Based on Finite Element Method

2011 ◽  
Vol 130-134 ◽  
pp. 2724-2728
Author(s):  
Jin Qiang Du ◽  
Yu Ting He ◽  
Hua Ding ◽  
Li Ming Wu ◽  
Qing Shao
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Eddy Current ◽  
Sensor Array ◽  
Simulation Analysis ◽  
Current Sensor ◽  
Finite Element Models ◽  
Eddy Current Sensor ◽  
Output Characteristics ◽  
Couple Method

Finite element models of an eddy current sensor array are built up by electromagnetic-circuit couple method, and the influences of conformable substrate on sensor’s output characteristics are analyzed by those models. It is shown that the model contains the conformable substrate has almost the same output characteristics as the model without it, but the output amplitudes and phases of the former model are higher than the latter. Therefore we can simply the sensor as a single surface to facilitate the analysis, and then revise it to fit to the real sensor.

scholarly journals Development of a Current Sensor with Broad Current Measurement Range Using High- and Low-Range Parts

2019 ◽  
Author(s):  
JungWon shin ◽  
Shinwon Kang ◽  
SaeWan Kim
Keyword(s):  
Magnetic Force ◽  
Measurement Range ◽  
Current Measurement ◽  
Field Analysis ◽  
Current Sensor ◽  
High Current ◽  
Type Device ◽  
Shaped Part ◽  
Sensor Modeling ◽  
A Current

The measurement range of a conventional current sensor is narrow because it is used with signals relative to the rated values of the measurement range from a voltage-type device. Consequently, multiple current sensors must be used in accordance with the measurement range. To address this problem, this paper proposes a new current sensor with a clamp-shaped part for low current measurement and a simple straight structure for high current measurement. The output signals of the proposed current sensor are amplified with a Hall element using the magnetic force of a rectangular air gap inside the clamp. To verify the characteristics of the proposed current sensor, a current was applied to an external load, and the value determined by the current sensor noted. Then, electromagnetic field analysis was performed through current sensor modeling and the results obtained compared to the actual sensor results. The proposed sensor had a 1% linearity in the output signals and exhibited dynamic characteristics over a wide current range.

scholarly journals Soft Sensor Modeling Method Based on SPA-GWO-SVR for Marine Protease Fermentation Process

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Zhu Li ◽  
Khalil Ur Rehman ◽  
Liu Wenhui ◽  
Faiza Atique
Keyword(s):  
Real Time ◽  
Prediction Accuracy ◽  
Fermentation Process ◽  
Soft Sensor ◽  
Projection Algorithm ◽  
Critical Parameters ◽  
Support Vector ◽  
Sensor Model ◽  
Factor C ◽  
Sensor Modeling

The marine protease fermentation process is a highly nonlinear, time-varying, multivariable, and strongly coupled complex biochemical reaction process. Due to the growth and reproduction of living organisms, the internal mechanism is very complicated. Some key variables (such as cell concentration, substrate concentration, and enzyme activity) that directly reflect the fermentation process's quality are difficult to measure in real-time by traditional measurement methods. A soft sensor model based on a support vector regression (SVR) is proposed in this paper to resolve this problem. To further improve the model's prediction accuracy, the grey wolf optimization (GWO) algorithm is used to optimize the critical parameters (kernel function width σ, penalty factor c, and insensitivity coefficient ε) of the SVR model. To study the influence of selecting auxiliary variables on soft sensor modeling, the successive projection algorithm (SPA) is used to determine the characteristic variables and compare them with grey relation analysis (GRA) algorithm. Finally, the Excel spreadsheet data was called by MATLAB programming, and the established SPA-GWO-SVR soft sensor model predicted crucial biological variables. The simulation results show that the SPA-GWO-SVR model has higher prediction accuracy and generalization ability than the traditional SPA-SVR model. The real-time monitoring was processed by MATLAB software for the marine protease fermentation process, which met the requirements of optimal control of the marine protease fermentation process.

scholarly journals AC/DC Current Sensor for Rotating Applications

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6811
Author(s):  
Miguel Angel Pardo-Vicente ◽  
Carlos A. Platero ◽  
José Ángel Sánchez-Fernández ◽  
Francisco Blázquez
Keyword(s):  
Computer Simulations ◽  
Direct Current ◽  
Electromagnetic Coupling ◽  
Experimental Tests ◽  
Signal Amplitude ◽  
Current Measurement ◽  
Current Sensor ◽  
External Fields ◽  
Large Size ◽  
Dc Current

There are several techniques for current measurement. Most of them are capable of measuring both alternating and direct current (AC/DC) components. However, they have severe drawbacks for rotating applications (large size, sensitivity to external fields, and low signal amplitude). In addition to these weaknesses, measured signals should be transmitted to a stationary part. In order to contribute solving these difficulties, this paper presents a sensor that can measure AC/DC simultaneously based on the electromagnetic coupling of two coils. To this aim, the measured waveform is analysed. In this paper, the design of such a sensor is presented. This design is validated through computer simulations and a prototype is built. The performance of this sensor prototype is analysed through experimental tests.

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