Advances in Capacitive, Eddy Current, and Magnetic Displacement Sensors and Corresponding Interfaces

George, Boby; Tan, Zhichao; Nihtianov, Stoyan

doi:10.1109/tie.2017.2726982

Cited by 106 publications

(45 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The contribution of this subsection is to illustrate that MPPT can be presented within the MPC framework within a single control loop. The sign of the expression Δ Δ ⁄ is used to determine the reference value * ( ) as is shown in (20).…”

Section: A Mpc-based Mpptmentioning

confidence: 99%

“…where |∆ | is the perturbation size of the MPPT algorithm. Based on (20) the MPPT can be expressed within the MPC cost function as illustrated in (21).…”

Section: A Mpc-based Mpptmentioning

confidence: 99%

“…Accuracy of the current measurement using a hall-effect sensor is influenced by the position of the conductor within the sensor [18]. Hall effect-based sensor measurements may be compromised due to magnetic core offset [19] and magnetic interference from the surrounding environment [18,20]. Merits of other contactless current sensor technologies such as anisotropic magnetoresistive effect based sensors and tunnel magnetoresistive effect based sensors are discussed [19,20].…”

mentioning

confidence: 99%

See 2 more Smart Citations

An Adaptive Model Predictive Controller for Current Sensorless MPPT in PV Systems

Metry

Balog

2020

IEEE Open J. Power Electron.

View full text Add to dashboard Cite

Finite control set model predictive control (MPC) is a model-based control method that can include multi-objective optimization, constrained control, adaptive control, and online auto-tuning of weighting factors all in a single controller that exhibits fast dynamic tracking. This paper utilizes the model-based framework of MPC to develop a sensorless current maximum power point tracking (MPPT) algorithm. Eliminating the current sensor can reduce the cost and improve the reliability of the photovoltaic system. This paper also utilizes constrained control and online auto-tuning of MPC to develop an adaptive perturbation MPPT to reduce steady-state oscillation and improve dynamic performance. This paper builds in a single framework the different layers of the MPPT problem: control, estimation, and MPPT. The proposed adaptive perturbation sensorless current mode MPPT (ASC-MPPT) technique performance is compared to the well-known incremental conductance (InCon) MPPT technique. The EN50530 European industrial test standards were used to demonstrate performance.

show abstract

Section: A Mpc-based Mpptmentioning

confidence: 99%

“…where |∆ | is the perturbation size of the MPPT algorithm. Based on (20) the MPPT can be expressed within the MPC cost function as illustrated in (21).…”

Section: A Mpc-based Mpptmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

An Adaptive Model Predictive Controller for Current Sensorless MPPT in PV Systems

Metry

Balog

2020

IEEE Open J. Power Electron.

View full text Add to dashboard Cite

show abstract

“…Many methods have been proposed to detect displacement or clearance over the last few decades (e.g., capacitive sensors [ 12 ], magnetic sensors [ 13 , 14 , 15 ], microwave sensors [ 16 ], optical sensors [ 17 ], and inductive sensors [ 18 , 19 , 20 ]). Compared with other methods, capacitive sensors have the advantages of high resolution and good dynamic performance [ 21 , 22 , 23 , 24 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

Error Analysis of a Spherical Capacitive Sensor for the Micro-Clearance Detection in Spherical Joints

et al. 2020

View full text Add to dashboard Cite

Spherical joints have attracted increasing interest in the engineering applications of machine tools, industrial robots, medical equipment, and so on. As one of the promising methods of detecting the micro-clearance in spherical joints, the measurement accuracy of a spherical capacitive sensor could be affected by imperfectness during the manufacturing and installation of the sensor. This work presents error analysis of a spherical capacitive sensor with a differential structure and explores the dependence of the differential capacitance on manufacturing and the installation imperfectness. Five error sources are examined: the shape of the ball and the capacitive plate, the axial and radial offset of the plate, and the inclined installation of the plate. The mathematical models for calculating the capacitance errors of the spherical capacitive sensor are deduced and validated through a simulation using Ansoft Maxwell. The results show that the measurement accuracy of the spherical capacitive sensor is significantly affected by the shape of plates and ball, the axial offset, and the inclined angle of the plate. In contrast, the effect of the radial offset of the plate is quite small.

show abstract

“…В системах автоматизированного неразрушающего контроля объектов подвижного состава железных дорог, в каналах обратной связи позиционных систем автоматического управления, например, крупногабаритных промышленных роботов и манипуляторов, возникает задача воспроизведения протяженных пространственных координат. При решении этой задачи необходимо использовать измерительные преобразователи перемещений [1].…”

unclassified

Phase motion transducer

Ахмеджанов¹,

Chegodaev²,

Cheredov³

et al. 2019

OSB

View full text Add to dashboard Cite

Омский государственный университет путей сообщения, г. Омск 2 Омский государственный технический университет, г. Омск ФАЗоВый преобрАЗоВАтель переМеЩений Рассматривается принцип построения многополюсного фазового преобразователя перемещений с бегущим полем с реализацией многофазной обмотки, расположенной в одной плоскости. Данный преобразователь обладает высокой эксплуатационной надежностью, технологичен в изготовлении и может монтироваться на криволинейные поверхности. Ключевые слова: неразрушающий контроль, информационная линейка, обмотка, магнитопровод, фаза, измерительный элемент.

show abstract

Advances in Capacitive, Eddy Current, and Magnetic Displacement Sensors and Corresponding Interfaces

Cited by 106 publications

References 59 publications

An Adaptive Model Predictive Controller for Current Sensorless MPPT in PV Systems

An Adaptive Model Predictive Controller for Current Sensorless MPPT in PV Systems

Error Analysis of a Spherical Capacitive Sensor for the Micro-Clearance Detection in Spherical Joints

Phase motion transducer

Contact Info

Product

Resources

About