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Inertial Sensors and Systems in 2020
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Inertial Sensors and Systems in 2020

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: closed (31 October 2020) | Viewed by 5778

Special Issue Editors

Prof. Dr. Jörg F. Wagner

E-Mail Website
Guest Editor
Professor for Adaptive Structures in Aerospace, University of Stuttgart, Pfaffenwaldring 31, 70569 Stuttgart, Germany
Interests: mechanics and mechatronics (structural dynamics, flight mechanics, gyro technology, testing technology, biomechanics); system theory (observers, optimization); navigation (inertial and integrated systems); history of science (gyro technology, aerospace); airborne and large telescopes
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Gert F. Trommer

E-Mail Website
Guest Editor
Institute of Systems Optimization (ITE), Karlsruhe Institute of Technology (KIT), Fritz-Haber-Weg 1, 76131 Karlsruhe, Germany
Interests: inertial sensors and systems; unmanned aerial systems (UAS); indoor navigation; guidance, navigation and control of mobile platforms
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The traditional key elements in inertial and integrated systems for navigation, positioning, and surveying, as well as for vehicle guidance and control are gyroscopes and accelerometers, i.e., inertial sensors. This includes high-precision devices for aerospace and maritime applications, medium performance systems for land vehicles and indoor navigation, as well as the low performance consumer market for smart phones and games.

Despite many decades of research and development, there is still a remarkable progress in the performance and in the price–performance ratio of inertial sensors. Currently, this especially concerns fiber optical gyroscopes, as well as MEMS gyroscopes and accelerometers. Future inertial systems may, therefore, also have more than only the minimal set of required inertial sensors. This concerns not only aspects of redundancy, but also the parallel motion measurement, at several points, of a moving vehicle, of a vibrating building, or a biomechanical structure.

This Special Issue aims to highlight advances in the development, testing, and modeling of inertial sensors, i.e., on the component level, as well as of Inertial Navigation Systems (INS) and integrated systems based on gyroscopes and accelerometers. Topics include but are not limited to:

Basic Technologies for inertial sensors and systems:

  • Accelerometers
  • Gyroscopes
  • Manufacturing
  • Advanced sensor characterization and error modeling techniques
  • Online and offline calibration
  • Inertial and integrated navigation system design
  • Sensors and technologies for aiding inertial systems

Applications:

  • Air, space, sea, and land vehicles
  • Surveying
  • Biomechanics in pedestrian navigation, sports, and medicine
  • Structural health monitoring
  • New and unconventional utilization of inertial sensors

Prof. Dr. Jörg F. Wagner  
Prof. Dr. Gert F. Trommer
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Inertial sensors and systems
  • Navigation
  • Integrated systems
  • Gyroscopes
  • Accelerometers
  • MEMS sensors
  • Aiding technology for INS
  • Vehicle guidance and control
  • Motion measurement

Published Papers (2 papers)

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Research

25 pages, 6034 KiB  
Article
Adaptive Federated IMM Filter for AUV Integrated Navigation Systems
by Weiwei Lyu, Xianghong Cheng and Jinling Wang
Sensors 2020, 20(23), 6806; https://doi.org/10.3390/s20236806 - 28 Nov 2020
Cited by 14 | Viewed by 2562
Abstract
High accuracy and reliable navigation in the underwater environment is very critical for the operations of autonomous underwater vehicles (AUVs). This paper proposes an adaptive federated interacting multiple model (IMM) filter, which combines adaptive federated filter and IMM algorithm for AUV in complex [...] Read more.
High accuracy and reliable navigation in the underwater environment is very critical for the operations of autonomous underwater vehicles (AUVs). This paper proposes an adaptive federated interacting multiple model (IMM) filter, which combines adaptive federated filter and IMM algorithm for AUV in complex underwater environments. Based on the performance of each local system, the information sharing coefficient of the adaptive federated IMM filter is adaptively determined. Meanwhile, the adaptive federated IMM filter designs different models for each local system. When the external disturbances change, the model of each local system can switch in real-time. Furthermore, an AUV integrated navigation system model is constructed, which includes the dynamic model of the system error and the measurement models of strapdown inertial navigation system/Doppler velocity log (SINS/DVL) and SINS/terrain aided navigation (SINS/TAN). The integrated navigation experiments demonstrate that the proposed filter can dramatically improve the accuracy and reliability of the integrated navigation system. Additionally, it has obvious advantages compared with the federated Kalman filter and the adaptive federated Kalman filter. Full article
(This article belongs to the Special Issue Inertial Sensors and Systems in 2020)
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14 pages, 2816 KiB  
Article
Estimating the Instantaneous Screw Axis and the Screw Axis Invariant Descriptor of Motion by Means of Inertial Sensors: An Experimental Study with a Mechanical Hinge Joint and Comparison to the Optoelectronic System
by Andrea Ancillao, Maxim Vochten, Erwin Aertbeliën, Wilm Decré and Joris De Schutter
Sensors 2020, 20(1), 49; https://doi.org/10.3390/s20010049 - 20 Dec 2019
Cited by 8 | Viewed by 2725
Abstract
The motion of a rigid body can be represented by the instantaneous screw axis (ISA, also known as the helical axis). Recently, an invariant representation of motion based on the ISA, namely, the screw axis invariant descriptor (SAID), was proposed in the literature. [...] Read more.
The motion of a rigid body can be represented by the instantaneous screw axis (ISA, also known as the helical axis). Recently, an invariant representation of motion based on the ISA, namely, the screw axis invariant descriptor (SAID), was proposed in the literature. The SAID consists of six scalar features that are independent from the coordinate system chosen to represent the motion. This method proved its usefulness in robotics; however, a high sensitivity to noise was observed. This paper aims to explore the performance of inertial sensors for the estimation of the ISA and the SAID for a simple experimental setup based on a hinge joint. The free swing motion of the mechanical hinge was concurrently recorded by a marker-based optoelectronic system (OS) and two magnetic inertial measurement units (MIMUs). The ISA estimated by the MIMU was more precise, while the OS was more accurate. The mean angular error was ≈2.2° for the OS and was ≈4.4° for the MIMU, while the mean standard deviation was ≈2.3° for the OS and was ≈0.2° for the MIMU. The SAID features based on angular velocity were better estimated by the MIMU, while the features based on translational velocity were better estimated by the OS. Therefore, a combination of both measurements systems is recommended to accurately estimate the complete SAID. Full article
(This article belongs to the Special Issue Inertial Sensors and Systems in 2020)
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