Accurate and Wide-Field-of-View MEMS-Based Sun Sensor for Industrial Applications

Delgado, Francisco; Quero, J.M.; García, Jorge García; Tarrida, C. L.; Ortega, Pablo; Bermejo, Sandra

doi:10.1109/tie.2012.2188872

Cited by 38 publications

(6 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Sun sensors are simple devices. While many different architectures exist [8][9][10][11][12], it has been decided to use a design involving a quad-photodiode with an aperture hole on top, as shown in Figure 2a. This solution makes the sensors very light (0.25 g for the first-generation sensor described in Section V).…”

Section: Proposed Solutionmentioning

confidence: 99%

In-space Shape Measurement of Large Planar Structures

Talon

Pellegrino

2017

4th AIAA Spacecraft Structures Conference

View full text Add to dashboard Cite

A measurement and integration scheme is proposed to estimate the shape of a large planar structure in space. Lightweight sun sensors distributed on the structure measure the local angles relative to the sun. A reconstruction technique is introduced to estimate the shape of the satellite through a decomposition on a function basis. The estimated shape is determined by the coefficients associated with the basis functions which are calculated from the measurements. A trade-off study to analyze the influence of different reconstruction schemes and the position of the sensors is presented. An optimization scheme minimizes the RMS error between the estimated and true shape. An experiment was conducted to show the feasibility and performance of the proposed system at the lab scale. Finally, a simulation of the accuracy of the presented solution on a 60 m space solar power module is performed. The expected error is 0.7 mm RMS using sensors every 30 cm.

show abstract

Section: Proposed Solutionmentioning

confidence: 99%

In-space Shape Measurement of Large Planar Structures

Talon

Pellegrino

2017

4th AIAA Spacecraft Structures Conference

View full text Add to dashboard Cite

show abstract

“…Sun sensors with a mini sun light lead-in produced by MEMS technology, measure the solar vector by the special structure of the light-sensitive material [8,9]. The measuring scheme of the MEMS-based sun sensors in [8] is described below. The sunlight reach two photodiodes through a cover glass with an upper window and generate a current in each one.…”

Section: Introductionmentioning

confidence: 99%

Sun sensor using a nanosatellites solar panels by means of time‐division multiplexing

Lü

Tao

Xie

et al. 2017

IET Science, Measurement & Technology

View full text Add to dashboard Cite

“…Many navigation systems have their goal positions that the agent is supposed to reach. Recent navigation studies show diverse forms of moving vehicles from simple wheeled robots [ 1 ] to a wide range of underwater vehicles [ 2 ], unmanned aerial vehicles [ 3 ] and spacecraft [ 4 ] with various sensors [ 5 , 6 ]. Furthermore, there have been techniques using various sensors like vision [ 7 ], inertia [ 8 ] and RFID [ 9 ], which represent a great deal of engineering achievement.…”

Section: Introductionmentioning

confidence: 99%

Local Homing Navigation Based on the Moment Model for Landmark Distribution and Features

Lee

Kim

2017

Sensors

View full text Add to dashboard Cite

For local homing navigation, an agent is supposed to return home based on the surrounding environmental information. According to the snapshot model, the home snapshot and the current view are compared to determine the homing direction. In this paper, we propose a novel homing navigation method using the moment model. The suggested moment model also follows the snapshot theory to compare the home snapshot and the current view, but the moment model defines a moment of landmark inertia as the sum of the product of the feature of the landmark particle with the square of its distance. The method thus uses range values of landmarks in the surrounding view and the visual features. The center of the moment can be estimated as the reference point, which is the unique convergence point in the moment potential from any view. The homing vector can easily be extracted from the centers of the moment measured at the current position and the home location. The method effectively guides homing direction in real environments, as well as in the simulation environment. In this paper, we take a holistic approach to use all pixels in the panoramic image as landmarks and use the RGB color intensity for the visual features in the moment model in which a set of three moment functions is encoded to determine the homing vector. We also tested visual homing or the moment model with only visual features, but the suggested moment model with both the visual feature and the landmark distance shows superior performance. We demonstrate homing performance with various methods classified by the status of the feature, the distance and the coordinate alignment.

show abstract

Accurate and Wide-Field-of-View MEMS-Based Sun Sensor for Industrial Applications

Cited by 38 publications

References 18 publications

In-space Shape Measurement of Large Planar Structures

In-space Shape Measurement of Large Planar Structures

Sun sensor using a nanosatellites solar panels by means of time‐division multiplexing

Local Homing Navigation Based on the Moment Model for Landmark Distribution and Features

Contact Info

Product

Resources

About