Relevant bibliographies by topics / MEMS IMU

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Academic literature on the topic 'MEMS IMU'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "MEMS IMU"

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Zhao, Wanliang, Xiangyu Sun, Yijie Rong, Jie Duan, Jiawei Chen, Lijun Song, and Qinyi Pan. "Optimization on the Precision of the MEMS-Redundant IMU Based on Adhesive Joint Assembly." Mathematical Problems in Engineering 2020 (October 9, 2020): 1–9. http://dx.doi.org/10.1155/2020/8855141.

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In order to improve the precision of the spaceborne Inertial Measurement Unit (IMU), this paper proposes an adhesive joint assembly of the MEMS-redundant IMU. That is the application of special redundant installation of multiple MEMS gyroscopes in the IMU, which can improve the reliability of the MEMS-redundant IMU on the basis of reducing the weight of IMU. However, with the change of working environment, the traditional mechanical assembly of MEMS-redundant IMU will produce the large packaging stress and cause the deformation of MEMS gyroscope. This change will lead to changes in installation errors, scale factor errors, and bias errors of the MEMS gyroscope, resulting in a significant reduction in measurement precision of the MEMS-redundant IMU. Therefore, this paper selects the adhesive material that matches the thermal physical parameters of the material with the circuit board by analyzing the requirements of MEMS gyroscope on working environment at first. Then, by optimizing the bonding process, the installation error of each axis of MEMS-redundant IMU under different temperatures is better than the traditional mechanical connection mode. The experiment results of thermal vacuum show that the new assembly method can reduce the influence of temperature on the bias. Compared with the traditional method, the new assembly which is based on adhesive joint assembly can improve the measurement precision of MEMS-redundant IMU by an order of magnitude.
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Hemerly, Elder M. "MEMS IMU stochastic error modelling." Systems Science & Control Engineering 5, no. 1 (December 7, 2016): 1–8. http://dx.doi.org/10.1080/21642583.2016.1262801.

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Liu, Fuchao, Zhong Su, Hui Zhao, Qing Li, and Chao Li. "Attitude Measurement for High-Spinning Projectile with a Hollow MEMS IMU Consisting of Multiple Accelerometers and Gyros." Sensors 19, no. 8 (April 15, 2019): 1799. http://dx.doi.org/10.3390/s19081799.

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A low cost, high precision hollow structure MEMS IMU has been developed to measure the roll angular rate of a high-spinning projectile. The hollow MEMS IMU is realized by designing the scheme of non-centroid configuration of multiple accelerometers. Two dual-axis accelerometers are respectively mounted on the pitch axis and the yaw axis away from the center of mass of the high-spinning projectile. Three single-axis gyros are mounted orthogonal to each other to measure the angular rates, respectively. The roll gyro is not only used to judge the spinning direction, but also to measure and compensate for the low rotation speed of the high-spinning projectile. In order to improve the measurement accuracy of the sensor, the sensor output error is modeled and calibrated by the least square method. By analyzing the influence of noise statistical characteristics on angular rate solution accuracy, an adaptive unscented Kalman filter (AUKF) algorithm is proposed, which has a higher estimation accuracy than UKF algorithm. The feasibility of the method is verified by numerical simulation. By using the MEMS IMU device to build a semi-physical simulation platform, the solution accuracy of the angular rate is analyzed by simulating different rotation speeds of the projectile. Finally, the flight test is carried out on the rocket projectile with the hollow MEMS IMU. The test results show that the hollow MEMS IMU is reasonable and feasible, and it can calculate the roll angular rate in real time. Therefore, the hollow MEMS IMU designed in this paper has certain engineering application value for high-spinning projectiles.
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Cheng, Junbing, Deng-ao Li, and Jumin Zhao. "A MEMS-IMU Assisted BDS Triple-Frequency Ambiguity Resolution Method in Complex Environments." Mathematical Problems in Engineering 2018 (December 4, 2018): 1–13. http://dx.doi.org/10.1155/2018/6041953.

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Emerging technologies such as smart cities and unmanned vehicles all need Global Navigation Satellite Systems (GNSS) to provide high-precision positioning and navigation services. Fast and reliable carrier phase ambiguity resolution (AR) is a prerequisite for high-precision positioning. The poor satellite geometry and severe multipath effect caused by Beidou Navigation Satellite System (BDS) signal occlusion and reflection in complex environments will degrade the AR performance. In this contribution, a fast triple-frequency AR method combining Microelectromechanical System-Inertial Measurement Unit (MEMS-IMU) and BDS is proposed. First, the Extra-Wide Lane (EWL) ambiguity is fixed with the positioning parameters of MEMS-IMU instead of the pseudorange. Then, the phase noise variance of Narrow Lane (NL) observation is obtained from ambiguity-fixed EWL observation to reduce the total noise level of NL observation, and the NL ambiguity can be reliably fixed, and the BDS positioning result is obtained. Finally, the BDS positioning result is used as the posterior measurement of the extended Kalman filter to update the MEMS-IMU positioning parameters to form the coupling loop of MEMS-IMU and BDS. The data of urban road vehicle experiments were collected to verify the feasibility and effectiveness of the proposed algorithm. Results show that MEMS-IMU can speed up AR, and reduction of total noise level can significantly improve the reliability of AR.
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Collin, Jussi. "MEMS IMU Carouseling for Ground Vehicles." IEEE Transactions on Vehicular Technology 64, no. 6 (June 2015): 2242–51. http://dx.doi.org/10.1109/tvt.2014.2345847.

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Rivers, Montgomery C., Alexander A. Trusov, Sergei A. Zotov, and Andrei M. Shkel. "Micro IMU Utilizing Folded MEMS Approach." Additional Conferences (Device Packaging, HiTEC, HiTEN, and CICMT) 2010, DPC (January 1, 2010): 001360–78. http://dx.doi.org/10.4071/2010dpc-wa23.

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In this paper, we propose a novel wafer-level approach for fabrication and 3-D integration of MEMS devices in miniature multi-axis assemblies of inertial, acoustic, and optical sensors. The approach is based on simultaneous fabrication of all sensors on the same substrate connected by flexible electrical interconnects, mechanical hinges and latches. A multi-axis sensor system is then obtained by folding the fabricated structures into 3-D cubes, pyramids, or other rigid shapes, and subsequently micro-welded. In the current work, we demonstrate feasibility of the folded cube approach for creation of miniature MEMS IMU with <1 cm3 volume. Design of the IMU consists of a folded cube or pyramid backbone structure with micromachined accelerometers and gyroscopes on its sidewalls. Silicon-on-insulator (SOI) wafers are used as a substrate for fabrication of both the inertial sensors and the folded backbone structure. Fabrication of the sensors consists of lithography, deep reactive ion etching (DRIE), and HF acid release of the inertial proof masses. Flexible polymer hinges connecting faces of the folded structures are defined on the same substrate and incorporate electrical interconnects. To provide rigidity to the assembled 3-D structure, interlocking silicon latches are fabricated along the edges of each sidewall, which are silicon-to-silicon welded after assembly. The approach allows for creating miniature multi-axis sensor systems without compromising performance of individual sensors. Gyroscopes integrated in the current folded cube IMU have experimentally demonstrated 3-dB bandwidth of 250 Hz and angle random walk (ARW) below 0.1 (deg/s)/rt-Hz in atmospheric pressure. Measured uncompensated temperature coefficients of gyroscope bias and scale factor were 313 (deg/h)/degC and 351ppm/degC, respectively. Accelerometers on the cube have been characterized, yielding a noise floor of 570μG/√Hz. Sensitivity of the accelerometers is measured at 40mV/G with a bandwidth of 100 Hz.
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El Bahnasawy, M., E. Abdelkawy, and S. Shedied. "Error Models for MEMS Based IMU." International Conference on Aerospace Sciences and Aviation Technology 14, AEROSPACE SCIENCES (May 1, 2011): 1–10. http://dx.doi.org/10.21608/asat.2011.23381.

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Zhao, Wanliang, Yuxiang Cheng, Sihan Zhao, Xiaomao Hu, Yijie Rong, Jie Duan, and Jiawei Chen. "Navigation Grade MEMS IMU for A Satellite." Micromachines 12, no. 2 (February 4, 2021): 151. http://dx.doi.org/10.3390/mi12020151.

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This paper presents a navigation grade micro-electromechanical system (MEMS) inertial measurement unit (IMU) that was successfully applied for the first time in the Lobster-Eye X-ray Satellite in July 2020. A six-axis MEMS gyroscope redundant configuration is adopted in the unit to improve the performance through mutual calibration of a set of two-axis gyroscopes in the same direction. In the paper, a satisfactory precision of the gyroscope is achieved by customized and self-calibration gyroscopes whose parameters are adjusted at the expense of bandwidth and dynamics. According to the in-orbit measured data, the MEMS IMU provides an outstanding precision of better than 0.02 °/h (1σ) with excellent bias instability of 0.006 °/h and angle random walk (ARW) of around 0.003 °/h1/2. It is the highest precision MEMS IMU for commercial aerospace use ever publicly reported in the world to date.
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Bistrov, Vadim. "Performance Analysis of Alignment Process of MEMS IMU." International Journal of Navigation and Observation 2012 (November 12, 2012): 1–11. http://dx.doi.org/10.1155/2012/731530.

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The procedure of determining the initial values of the attitude angles (pitch, roll, and heading) is known as the alignment. Also, it is essential to align an inertial system before the start of navigation. Unless the inertial system is not aligned with the vehicle, the information provided by MEMS (microelectromechanical system) sensors is not useful for navigating the vehicle. At the moment MEMS gyroscopes have poor characteristics and it’s necessary to develop specific algorithms in order to obtain the attitude information of the object. Most of the standard algorithms for the attitude estimation are not suitable when using MEMS inertial sensors. The wavelet technique, the Kalman filter, and the quaternion are not new in navigation data processing. But the joint use of those techniques for MEMS sensor data processing can give some new results. In this paper the performance of a developed algorithm for the attitude estimation using MEMS IMU (inertial measurement unit) is tested. The obtained results are compared with the attitude output of another commercial GPS/IMU device by Xsens. The impact of MEMS sensor measurement noises on an alignment process is analysed. Some recommendations for the Kalman filter algorithm tuning to decrease standard deviation of the attitude estimation are given.
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Jiang, Changhui, Shuai Chen, Yuwei Chen, Boya Zhang, Ziyi Feng, Hui Zhou, and Yuming Bo. "A MEMS IMU De-Noising Method Using Long Short Term Memory Recurrent Neural Networks (LSTM-RNN)." Sensors 18, no. 10 (October 15, 2018): 3470. http://dx.doi.org/10.3390/s18103470.

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Microelectromechanical Systems (MEMS) Inertial Measurement Unit (IMU) containing a three-orthogonal gyroscope and three-orthogonal accelerometer has been widely utilized in position and navigation, due to gradually improved accuracy and its small size and low cost. However, the errors of a MEMS IMU based standalone Inertial Navigation System (INS) will diverge over time dramatically, since there are various and nonlinear errors contained in the MEMS IMU measurements. Therefore, MEMS INS is usually integrated with a Global Positioning System (GPS) for providing reliable navigation solutions. The GPS receiver is able to generate stable and precise position and time information in open sky environment. However, under signal challenging conditions, for instance dense forests, city canyons, or mountain valleys, if the GPS signal is weak and even is blocked, the GPS receiver will fail to output reliable positioning information, and the integration system will fade to an INS standalone system. A number of effects have been devoted to improving the accuracy of INS, and de-nosing or modelling the random errors contained in the MEMS IMU have been demonstrated to be an effective way of improving MEMS INS performance. In this paper, an Artificial Intelligence (AI) method was proposed to de-noise the MEMS IMU output signals, specifically, a popular variant of Recurrent Neural Network (RNN) Long Short Term Memory (LSTM) RNN was employed to filter the MEMS gyroscope outputs, in which the signals were treated as time series. A MEMS IMU (MSI3200, manufactured by MT Microsystems Company, Hebei, China) was employed to test the proposed method, a 2 min raw gyroscope data with 400 Hz sampling rate was collected and employed in this testing. The results show that the standard deviation (STD) of the gyroscope data decreased by 60.3%, 37%, and 44.6% respectively compared with raw signals, and on the other way, the three-axis attitude errors decreased by 15.8%, 18.3% and 51.3% individually. Further, compared with an Auto Regressive and Moving Average (ARMA) model with fixed parameters, the STD of the three-axis gyroscope outputs decreased by 42.4%, 21.4% and 21.4%, and the attitude errors decreased by 47.6%, 42.3% and 52.0%. The results indicated that the de-noising scheme was effective for improving MEMS INS accuracy, and the proposed LSTM-RNN method was more preferable in this application.
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Dissertations / Theses on the topic "MEMS IMU"

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Varol, Tolga. "Comparison of Consumer-Grade MEMS IMUs in UBI Context." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254392.

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Road traffic has many negative socioeconomic impacts on society. A key problem is the risk of deadly accidents. The risk, to a high extend is reduced in developed societies. However, the accidents are still ubiquitous. There are various approaches for reducing accidents such as improving the infrastructure, educating better drivers and incentivizing drivers for driving safe. For the latter, the way is to analyse driving behaviour and this is possible using sensors such as inertial measurement units (IMU) without hindering privacy. Insurance companies approach this issue via Usage Based Insurance (UBI) products, where the premium is dynamically calculated by evaluating the driver based on measuring vehicle dynamics and other contextual data. Due to utilization of devices that use different IMUs, generalization of measured data is an issue for correct evaluation and fairness.The thesis deals with providing tools for filling the evaluation gap of IMUs for this purpose. The study began with a survey involving IMUs in the market. Considering technical and economic aspects, the most suitable ones were selected for evaluation. A modular system called quad-IMU (QIMU) was designed and developed. A selected IMU (BMI160) was incorporated into a QIMU and compared to two widely used IMUs in two scenarios; harsh breaking and static measurement using raw digital linear acceleration measurements. Root mean square errors (RMSE) showed that the BMI160 outperformed the others by approximately one and two orders of magnitude, respectively. The QIMU showed to be a promising framework that needs to be explored further for evaluating IMUs in-house in a rapid, low-cost and reliable manner.
Vägtrafiken har många negativa socioekonomiska effekter på samhället. Ett viktigt problem är risken för dödliga olyckor. Risken, i stor utsträckning, minskar i utvecklade samhällen. Olyckorna är dock fortfarande allestädes närvarande. Det finns olika metoder för att minska olyckor som att förbättra infrastrukturen, utbilda bättre förare och incitament för förare att köra säkert. Det sistnämnda kan göras genom att analysera körbeteendet, och detta är möjligt med hjälp av sensorer som tröghetssensorer (IMU) utan att hindra integriteten. Försäkringsbolag närmar sig denna fråga via användningsbaserade försäkringar (UBI) -produkter, där premien dynamiskt beräknas genom att utvärdera föraren baserat på mätning av fordonsdynamik och annan kontextuell data. På grund av användningen av enheter som använder olika IMU-enheter är generalisering av uppmätta data en öppen fråga för korrekt utvärdering och rättvisa.Avhandlingen handlar om att tillhandahålla verktyg för att fylla utvärderingsgapet för IMUer för detta ändamål. Studien började med en undersökning med IMUer på marknaden. Med tanke på tekniska och ekonomiska aspekter valdes de mest lämpliga för utvärdering. Ett modulärt system kallat quad-IMU (QIMU) designades och utvecklades. En vald IMU (BMI160) inkorporerades i en QIMU och jämfördes med två ofta använda IMUer i två scenarier; hård inbromsning och statisk mätning med hjälp av raka digitala linjära accelerationsmätningar. Det genomsnittliga medelkvadratfelet (RMSE) visade att BMI160 överträffade de andra med ungefär en och två storleksordningar. QIMU visade sig vara en lovande ram som behöver undersökas mer för att utvärdera IMUer internt på ett snabbt, billigt och pålitligt sätt.
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Zhao, Yueming. "GPS/IMU Integrated System for Land Vehicle Navigation based on MEMS." Licentiate thesis, KTH, Geodesi och geoinformatik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-42167.

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The Global Positioning System (GPS) and an Inertial Navigation System (INS)are two basic navigation systems. Due to their complementary characters in manyaspects, a GPS/INS integrated navigation system has been a hot research topic inthe recent decade. Both advantages and disadvantages of each individual systemare analyzed. The Micro Electrical Mechanical Sensors (MEMS) successfully solved theproblems of price, size and weight with the traditional INS. Therefore they arecommonly applied in GPS/INS integrated systems. The biggest problem ofMEMS is the large sensor errors, which rapidly degrade the navigationperformance in an exponential speed. By means of different methods, i.e.autoregressive model, Gauss-Markov process, Power Spectral Density and AllanVariance, we analyze the stochastic errors within the MEMS sensors. Real testson a MEMS based inertial measurement unit for each method are carried out. Theresults show that different methods give similar estimates of stochastic errorsources. These error coefficients can be used further in the Kalman filter for betternavigation performance and in the Doppler frequency estimate for fasteracquisition after the GPS signal outage. Three levels of GPS/IMU integration structures, i.e. loose, tight and ultra tightGPS/IMU navigation, are introduced with a brief analysis of each character. Theloose integration principles are given with detailed equations as well as the basicINS navigation principles. The Extended Kalman Filter (EKF) is introduced as the basic data fusionalgorithm, which is also the core of the whole navigation system to be presented.The kinematic constraints of land vehicle navigation, i.e. velocity constraint andheight constraint, are presented. These physical constraints can be used asadditional information to further reduce the navigation errors. The theoreticalanalysis of the Kalman filter with constraints are given to show the improvementon the navigation performance. As for the outliers in practical applications, theequivalent weight is introduced to adaptively reduce the influence on positioningaccuracy. A detailed implementation process of the GPS/IMU integration system is given.Based on the system model, we show the propagation of position standard errorswith the tight integration structure under different scenarios. Even less than 4observable satellites can contribute to the integrated system. Especially 2 satellitescan maintain the orientation errors at a reasonable level due to the benefit of thetight integration. A real test with loose integration structure is carried out, and theEKF performance as well as the physical constraints are analyzed in detail. Also atest with random outliers at the resolution level is carried out to show theeffectiveness of the equivalent weight. Finally some suggestions on future researchare proposed.

QC 20111006

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Renkoski, Benjamin Matthew. "The effect of carouseling on MEMS IMU performance for gyrocompassing applications." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/51645.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2008.
Includes bibliographical references (p. 91-92).
The concept of carouseling an IMU is simulated in order to improve the accuracy of MEMS IMUs. Carouseling consists of slewing the IMU through a pre-determined trajectory that is selected based on inherent properties that lead to improved performance. MEMS devices typically have far more uncertainty than standard inertial measurement devices, yet are considerably less massive and require less power, so implementing this carouseling scheme could make the use of these lightweight systems possible even in high-accuracy situations, such as gyrocompassing. In gyrocompassing, the most significant benefit provided by the carouseling scheme is the reduction in the error contribution of gyroscope bias, as this error is almost completely eliminated. Additionally, it was found that although implementing the carouseling scheme required the addition of error states to account for the size effect, in many cases these error states may not be necessary. Overall, the carouseling of the MEMS IMUs was shown to be effective in reducing azimuth error covariance significantly.
by Benjamin Matthew Renkoski.
S.M.
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Veillard, Damien. "Etude et analyse des signaux d une centrale inertielle MEMS : application à la reconstruction du mouvement d un convoi ferroviaire." Thesis, Montpellier, 2016. http://www.theses.fr/2016MONTT311.

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La localisation précise d’un train sur la voie ferrée est une information vitale pour la gestion du trafic et la sécurité des passagers. Le système européen de contrôle des trains (ETCS) embarque ainsi un accéléromètre mono axe mesurant l’accélération longitudinale du train. Ce capteur est l’un des nombreux capteurs présents à bord permettant une odométrie précise. Cependant, sa mesure est faussée par la projection de la gravité sur l’axe sensible en fonction de l’inclinaison de la voie. L’objectif de ce mémoire est donc d’augmenter l’intérêt de ce capteur en développant une solution basée sur une centrale inertielle complète dans le but de fournir une accélération longitudinale fiable. Pour cela, un estimateur d’état a été développé à partir d’un filtre de Kalman étendu et de la prise en compte de contraintes sur le vecteur d’état. L’utilisation d’une équation de réactualisation du gain de Kalman force ainsi l’estimation d’état à évoluer dans un espace contraint. De plus, le vecteur d’observation du système a été augmenté par les informations fournies par un estimateur de vitesse et un estimateur d’attitude du train. L’estimateur de vitesse utilise une analyse fréquentielle des mesures accélérométriques et l’estimateur d’attitude exploite la complémentarité fréquentielle des mesures gyrométriques et accélérométriques pour estimer les angles de roulis et de tangage. Ces informations sont ensuite fusionnées avec les mesures de la centrale. Enfin, des expérimentations ont été réalisées en Turquie dans un train et les performances de l’estimateur ont été validées en comparant les résultats obtenus aux données fournies par une centrale de navigation haut de gamme
The precise location of a train on the rail network is vital information for traffic management and passenger safety. The European Train Control System (ETCS) features a single-axis accelerometer which measures the longitudinal acceleration of the train. This sensor is one of many sensors onboard providing a precise odometry. However, its measurement is corrupted by the projection of the gravity on the sensitive axis as a function of the inclination of the track. The purpose of this work is to increase the value of this sensor by developing a solution based on a complete inertial system in order to provide a reliable longitudinal acceleration. For this, a state estimator was developed based on an extended Kalman filter and the consideration of constraints on the state vector. The use of updating equation of the Kalman gain forces the state estimation to evolve in a constrained space. In addition, the observation vector has been increased with the information provided by a velocity estimator and a train attitude estimator. The velocity estimator uses a frequency analysis of the accelerometer measurements and the attitude estimator operates the frequency complementarity of gyro and accelerometer measurements, to estimate the roll and pitch angles. This information is then merged with the measurements of the IMU. Finally, experiments were carried out in Turkey on a train and the estimator's performance was validated by comparing the results with data from a high-performance inertial navigation system
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Givens, Matthew. "Multiple IMU Sensor Fusion for SUAS Navigation and Photogrammetry." DigitalCommons@USU, 2019. https://digitalcommons.usu.edu/etd/7617.

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Inertial measurement units (IMUs) are devices that sense accelerations and angular rates in 3D so that vehicles and other devices can estimate their orientations, positions, and velocities. While traditionally large, heavy, and costly, using mechanical gyroscopes and stabilized platforms, the recent development of micro-electromechanical sensor (MEMS) IMUs that are small, light, and inexpensive has led to their adoption in many everyday systems such as cell phones, video game controllers, and commercial drones. MEMS IMUs, despite their advantages, have major drawbacks when it comes to accuracy and reliability. The idea of using more than one of these sensors in an array, instead of using only one, and fusing their outputs to generate an improved solution is explored in this thesis.
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Grahn, Erik. "Evaluation of MEMS accelerometer and gyroscope for orientation tracking nutrunner functionality." Thesis, KTH, Data- och elektroteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215163.

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In the production industry, quality control is of importance. Even though today's tools provide a lot of functionality and safety to help the operators in their job, the operators still is responsible for the final quality of the parts. Today the nutrunners manufactured by Atlas Copco use their driver to detect the tightening angle. There- fore the operator can influence the tightening by turning the tool clockwise or counterclockwise during a tightening and quality cannot be assured that the bolt is tightened with a certain torque angle. The function of orientation tracking was de- sired to be evaluated for the Tensor STB angle and STB pistol tools manufactured by Atlas Copco. To be able to study the orientation of a nutrunner, practical exper- iments were introduced where an IMU sensor was fixed on a battery powered nutrunner. Sensor fusion in the form of a complementary filter was evaluated. The result states that the accelerometer could not be used to estimate the angular dis- placement of tightening due to vibration and gimbal lock and therefore a sensor fusion is not possible. The gyroscope by itself can be used to provide the angular displacement around every axis with high accuracy without taking into account the gimbal lock phenomena or external forces in the form of vibration of the tool. The gyroscope provided data with a probability to measure ±1° in future tightenings by 69,76%. The gyroscope provided data with high accuracy and stability and can be used in real world application and production for true angle functionality of the tools.
I produktionsindustrin är kvalitetskontroll av stor betydelse. Även om dagens verk- tyg innehåller mycket funktionalitet och säkerhet för att hjälpa operatörer i jobbet, är operatören fortfarande ansvarig för den slutliga kvaliteten. Idag använder Atlas Copcos skruvdragare motorns vridmoment för att göra den slutliga åtdragningen. Därav kan operatören påverka åtdragningen genom att vrida verktyget medurs el- ler moturs under en åtdragning och kvaliteten kan inte säkerställas att bulten dras med ett visst vridmoment. Funktion för rörelseavläsning var önskvärd att utvärde- ras för Tensor STB-vinkel- och STB-pistolverktygen tillverkade av Atlas Copco. För att kunna studera orienteringen hos en skruvdragare introducerades praktiska ex- periment där en IMU-sensor fixerades på en batteridriven skruvdragare. En Sen- sorfusion i form av ett komplementärt filter utvärderades. Resultaten visar att acce- lerometern inte kunde användas för att uppskatta vinkelförskjutningen av en åt- dragning på grund av vibration och gimballås och därav kan inte fusionen heller nyttjas. Gyroskopet i sig kan användas för att ge vinkelförskjutningen runt varje axel med hög noggrannhet utan att ta hänsyn till gimballåsfenomen eller yttre kraf- ter i form av vibration från verktyget. Gyroskopet gav data med en sannolikhet att mäta ± 1° i avvikelse från ett förbestämt värde i framtida åtdragningar med 69,76%. Vidare utvärdering av gyroskop och implementation av detta borde göras innan detta skulle anses kunna användas i en riktig applikation för rörelseavläsning un- der en åtdragning.
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Mori, Anderson Morais. "O uso de sistema inercial para apoiar a navegação autônoma." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/3/3138/tde-26062014-114414/.

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A proposta deste trabalho é contribuir com a construção de uma plataforma de veículo autônomo para viabilizar as pesquisas na área pelo Departamento de Engenharia de Transportes da USP. Até o momento o departamento dispõe de uma plataforma que, a partir de sua posição conhecida, consegue navegar autonomamente até um ponto de destino utilizando apenas uma solução GNSS, no caso, GPS. Para ampliar a mobilidade da plataforma, está sendo sugerida aqui, a adição de sensores inerciais ao veículo, para que ele consiga obter uma solução de posição mesmo em áreas sem cobertura GNSS. Um Sistema de Navegação Inercial não depende de infraestrutura externa, exceto para inicializar suas variáveis, o que neste caso pode ser feito com auxílio de um receptor GPS. Sensores inerciais de alto desempenho são caros, tem alta complexidade mecânica e em geral são de grande porte. A alternativa é o uso de sensores do tipo MEMS que são pequenos, fáceis de serem manipulados e apresentam baixo consumo de energia. A contrapartida é que a solução é mais susceptível a ruído do que seus pares que custam na faixa de centena de milhões de dólares.
The proposal of this paper is to build an autonomous vehicle platform to enable the researches in this area by the Transport Engineering Department of the USP. Until now the Department has a platform that, once its initial position is known, it can navigate autonomously to a destination point using only the GNSS, in this case, GPS. To expand the mobility resources of the platform, it is being suggested here the addition of inertial sensors to the vehicle, enabling it to acquire a position solution even in areas where there is no coverage of the GNSS. An Inertial Navigation System does not depend on an external infra-structure, with the exception on the initial setup, where the GPS can be used to provide this kind of initialization. High performance inertial sensors are expensive, have high mechanical complexity and in general are big. The alternative is the usage of MEMS sensors, which are small, easy to handle and has low power consumption. In the opposite side this solution is more susceptible to noises in comparison to those High performance sensors that cost hundreds of thousands of dollars.
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Alandry, Boris. "Intégration de systèmes multi-capteurs CMOS-MEMS : application à une centrale d’attitude." Thesis, Montpellier 2, 2010. http://www.theses.fr/2010MON20152/document.

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Les systèmes électroniques actuels intègrent de plus en plus de fonctionnalités nécessitant l'intégration de capteurs très variés. Ces systèmes hétérogènes sont complexes à intégrer notamment lorsque différentes technologies de fabrication sont nécessaires pour les capteurs.Les technologies de fabrication de MEMS avec un procédé CMOS-FSBM offrent un coût de production réduit et permettent d'intégrer sur un même substrat différents types de capteurs (magnétomètres et accéléromètres notamment). Ce procédé de fabrication implique cependant une détection résistive des capteurs avec tous les problèmes qui lui sont associés (faible sensibilité, offset important, bruit de l'électronique). A travers la réalisation de la première centrale inertielle sur une puce, cette thèse renforce l'intérêt d'une approche « CMOS-MEMS » pour la conception de systèmes multi-capteurs. Le système est basé sur une mesure incomplète du champ magnétique terrestre (axes X et Y) et sur la mesure complète du champ gravitationnel. Une électronique de conditionnement des capteurs performante a été développée adressant les principaux problèmes relatifs à une détection résistive permettant ainsi une optimisation de la résolution de chaque capteur. Enfin, deux algorithmes ont été développés pour la détermination de l'attitude à partir de la mesure des cinq capteurs montrant la faisabilité et l'intérêt d'un tel système
Current electronic systems integrate more and more applications that require the integration of various kinds of sensors. The integration of such heterogeneous systems is complex especially when sensor fabrication processes differ from one to another. MEMS manufacturing processes based on CMOS-FSBM process promote a low-cost production and allow the integration of various types of sensors on the same die (e.g., magnetometers and accelerometers). However, this manufacturing process requires that sensors make use of resistive transduction with its associated drawbacks (low sensitivity, offset, electronic noise). Through the design and the implementation of the first inertial measurement unit (IMU) on a chip, this thesis demonstrates the interest of a “CMOS-MEMS” approach for the design of multi-sensor systems. The IMU is based on the incomplete measurement of the Earth magnetic field (X and Y axis) and the complete measurement of the gravity. An efficient front-end electronic has been developed addressing the most important issues of resistive transduction and thus allowing an optimization of sensor resolution. Finally, two attitude determination algorithms have been developed from the five sensor measurements showing the feasibility and the interest of such a system
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Kepper, James H. IV. "MEMS IMU inertial measurement unit one-way-travel-time inertial measurement unit autonomous underwater vehicles." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113756.

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Thesis: S.M. in Oceanographic Engineering, Joint Program in Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Department of Mechanical Engineering; and the Woods Hole Oceanographic Institution), 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 83-87).
Recent advances in acoustic navigation methodologies are enabling the way for AUVs to extend their submerged mission time and maintain a bounded XY position error. Additionally, advances in inertial sensor technology have drastically lowered the size, power consumption, and cost of these sensors. Nonetheless, these sensors are still noisy and accrue error over time. This thesis builds on the research and recent developments in single beacon one-way-travel- time (OWTT) acoustic navigation and investigates the degree of bounding position error for small AUVs with a minimal navigation strap-down sensor suite, relying mostly on a consumer grade microelectromechanical system (MEMS) inertial measurement unit (IMU) and a vehicle's dynamic model velocity. An implementation of an Extended Kalman Filter (EKF) that includes IMU bias estimation and coupled with a range filter, is obtained in the field on two OceanServer Technology, Inc. Iver2 AUVs and one Bluefin Robotics SandShark [mu]AUV. Results from these field trials on Ashumet Pond of Falmouth, Massachusetts, the Charles River of Cambridge, Massachusetts, and Monterey Bay near Santa Cruz, California show a navigation solution accuracy comparable to current standard navigation techniques.
by James H. Kepper, IV.
S.M. in Oceanographic Engineering
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Barrett, Justin Michael. "Analyzing and Modeling Low-Cost MEMS IMUs for use in an Inertial Navigation System." Digital WPI, 2014. https://digitalcommons.wpi.edu/etd-theses/581.

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Inertial navigation is a relative navigation technique commonly used by autonomous vehicles to determine their linear velocity, position and orientation in three-dimensional space. The basic premise of inertial navigation is that measurements of acceleration and angular velocity from an inertial measurement unit (IMU) are integrated over time to produce estimates of linear velocity, position and orientation. However, this process is a particularly involved one. The raw inertial data must first be properly analyzed and modeled in order to ensure that any inertial navigation system (INS) that uses the inertial data will produce accurate results. This thesis describes the process of analyzing and modeling raw IMU data, as well as how to use the results of that analysis to design an INS. Two separate INS units are designed using two different micro-electro-mechanical system (MEMS) IMUs. To test the effectiveness of each INS, each IMU is rigidly mounted to an unmanned ground vehicle (UGV) and the vehicle is driven through a known test course. The linear velocity, position and orientation estimates produced by each INS are then compared to the true linear velocity, position and orientation of the UGV over time. Final results from these experiments include quantifications of how well each INS was able to estimate the true linear velocity, position and orientation of the UGV in several different navigation scenarios as well as a direct comparison of the performances of the two separate INS units.
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Books on the topic "MEMS IMU"

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A Tightly-Coupled INS/GPS Integration Using a MEMS IMU. Storming Media, 2004.

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Optische Technologien in der Fahrzeugtechnik. VDI Verlag, 2016. http://dx.doi.org/10.51202/9783181022788.

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Kurzfassung Die Scheinwerferentwicklung hat in den letzten Jahren zwei große Neuentwicklungen gebracht. Einerseits wurde durch die Einführung von Matrix-Scheinwerfern das dauerhafte Fahren im Fernlichtbetrieb ermöglicht, ohne dabei andere Verkehrsteilnehmer zu blenden. Andererseits gestattet der Einsatz von Laserlichtquellen durch die hohe Leuchtdichte die Umsetzung von völlig neuen Scheinwerferkonzepten, sowohl was die erzielbaren Beleuchtungsstärken als auch was das Design betrifft. Der Wunsch diese Entwicklungen zu kombinieren und weiterzuführen stellt die Scheinwerferbranche vor neue Herausforderungen. Neue Lichtquellen werden benötigt, ebenso lichtformende Elemente wie beispielsweise MEMS-Bauteile, DLPs oder LCDs. Während alle diese Technologien bereits erfolgreich im Bereich der Unterhaltungselektronik etabliert sind, stellt der Einsatz im Automobilbereich neben der optischen Umsetzung neue Anforderungen, beispielsweise an Temperaturmanagment, Elektronikkonzepte und die s...
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Fichtner, Ina, ed. Technologien im Leistungssport 2. Meyer & Meyer Sportverlag, 2017. http://dx.doi.org/10.5771/9783840312106.

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Will der deutsche Spitzensport auch in Zukunft international konkurrenzfähig sein, bedarf es innovativer Ideen in der Technologienentwicklung für die Spitzensportpraxis. Mit der Frühjahrsschule "Technologien im Leistungssport" hat das Institut für Angewandte Trainingswissenschaft (IAT) ein Expertenforum zu dieser Thematik etabliert. Im Rahmentraining der 18. Ausgabe der Veranstaltung am 13./14. April 2016 in Leipzig verlieh die zentrale Forschungseinrichtung des deutschen Spitzen- und Nachwuchsleistungssports gemeinsam mit der ccc software gmbh bereits zum zweiten Mal einen Preis für den Themenbereich "Wissens- und Technologientransfer in der Spitzensport". Im vorliegenden Tagungsband sind die Beiträge des Preisträgers und der Nominierten sowie der weiteren Referenten zu den diesjährigen Themenschwerpunkten Entwicklung und Anwendung von sportspezifischen Mess- und Informationssystemen sowie biomechanischer Diagnostik dokumentiert.
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Messunsicherheit 2019. VDI Verlag, 2019. http://dx.doi.org/10.51202/9783181023655.

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parallel hat auch die 4. VDI-Fachtagung „Prüfprozesse in der industriellen Praxis 2019“ stattgefunden. Dieser VDI-Bericht ist ausschließlich als PDF-Dokument erschienen! Inhalt Keynotes Das neue internationale Einheitensystem – jetzt auch für Außerirdische 1 F. Härtig, K. Lehrmann, Physikalisch-Technische Bundesanstalt Braunschweig und Berlin Konformitätsbewertung und Messunsicherheit I Entscheidungsregeln und Konformitätsbewertung – ein Überblick 15 M. Czaske, Physikalisch-Technische Bundesanstalt (PTB), Braunschweig; M. Kemper, Physikalisch-Technische Bundesanstalt, Berlin Spezifikationen verstehen – Basis der Konformitätsbewertung und Messunsicherheitsbetrachung 23 A. C. Böck, esz AG calibration & metrology, Eichenau Entscheidungsregeln bei Konformitätsaussagen im Mess- und Kalibrierwesen – Beispiele aus der Praxis 35 E. Hage, K. Diedrich, Sartorius Lab Instruments, Göttingen Masse und Waagen The Planck-Balance (PB2) – Using a fixed value of th...
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Automation 2019. VDI Verlag, 2019. http://dx.doi.org/10.51202/9783181023518.

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Vorwort Zum 20. Mal trifft sich die Community zum Leitkongress der Mess- und Automatisierungstechnik AUTOMATION im Juli 2019. Unter dem Motto „Autonomous Systems and 5G in Connected Industries“ erwartet Sie ein anspruchsvolles Programm! Wie wirken sich künstliche Intelligenz und autonome Systeme auf die Fertigungs- und Prozessautomation der Zukunft aus? Welche digitalen Geschäftsmodelle lassen sich dadurch sowie durch ein neues Level an Vernetzung mittels des kommenden Mobilfunkstandards der 5. Generation (5G) realisieren? Verschaffen neue Kommunikationswege und KI solchen Konzepten wie dem digitalen Zwilling, der modularen Automatisierung und erweiterten Automatisierungsarchitekturen den Durchbruch? Der Siegeszug der KI läuft in vielen Geschäftsbereichen. Nach Anwendungen auf den großen Social Media- und Consumer-Plattformen werden immer mehr Beispiele und Erfolge in der industriellen Produktion sichtbar. Andererseits bleiben auch große Anbieter nicht vor Rückschlägen gefe...
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Book chapters on the topic "MEMS IMU"

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Bangera, Sheethal S., T. D. Shiyana, G. K. Srinidhi, Yash R. Vasani, and M. Sukesh Rao. "MEMS-Based IMU for Pose Estimation." In Lecture Notes in Electrical Engineering, 1–14. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0626-0_1.

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Tao, Zhang, Weng Chengcheng, and Yan Jie. "Research on Indoor Positioning Technology Based on MEMS IMU." In Studies in Computational Intelligence, 143–56. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69877-9_16.

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Liu, Chunyu, Lei Chen, Yangbo Huang, Ling Yong, Shaojie Ni, and Feixue Wang. "Research on MEMS IMU Aided BeiDou Receiver Carrier Loop Technology." In Lecture Notes in Electrical Engineering, 351–61. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4591-2_29.

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Jiang, Cheng, Hailing Wu, Wenhai Jiao, Wang Wen, and Xiaowei Cui. "Navigation Technology Research on GNSS Loop Structure Aided by Acoustic MEMS IMU." In Lecture Notes in Electrical Engineering, 739–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37398-5_68.

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Du, Shuang, Bei Huang, and Yang Gao. "An Integrated MEMS IMU/Camera System for Pedestrian Indoor Navigation Using Smartphones." In Lecture Notes in Electrical Engineering, 669–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29187-6_66.

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Zhang, Tisheng, Hongping Zhang, Yalong Ban, and Xiaoji Niu. "Performance Evaluation of a Real-Time Integrated MEMS IMU/GNSS Deeply Coupled System." In Lecture Notes in Electrical Engineering, 737–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37407-4_68.

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Lou, Lu, Mark Neal, Frédéric Labrosse, and Juan Cao. "An Approach to Improving Attitude Estimation Based on Low-Cost MEMS-IMU for Mobile Robot Navigation." In Towards Autonomous Robotic Systems, 378–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23232-9_36.

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Boller, S. "Umgebungsbedingungen und Einbauorte." In Handbuch der Mess- und Automatisierungstechnik im Automobil, 49–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-29980-7_6.

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Boller, S. "Geschwindigkeit." In Handbuch der Mess- und Automatisierungstechnik im Automobil, 71–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-29980-7_10.

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Boller, S. "Gassensorik." In Handbuch der Mess- und Automatisierungstechnik im Automobil, 81–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-29980-7_13.

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Conference papers on the topic "MEMS IMU"

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Geiger, W., J. Bartholomeyczik, U. Breng, W. Gutmann, M. Hafen, E. Handrich, M. Huber, et al. "MEMS IMU for AHRS applications." In 2008 IEEE/ION Position, Location and Navigation Symposium. IEEE, 2008. http://dx.doi.org/10.1109/plans.2008.4569973.

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Zhuang, J. H., Y. X. Liu, C. H. He, R. Z. Zhang, B. Zhou, and X. Y. Cheng. "Optimization Design Method of MEMS-IMU Structure." In 2019 IEEE 14th International Conference on Nano/Micro Engineered and Molecular Systems (NEMS). IEEE, 2019. http://dx.doi.org/10.1109/nems.2019.8915612.

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Zotov, Sergei A., Montgomery C. Rivers, Alexander A. Trusov, and Andrei M. Shkel. "Chip-scale IMU using folded-mems approach." In 2010 Ninth IEEE Sensors Conference (SENSORS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icsens.2010.5690800.

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Kocer, Basaran Bahadir, Vasfi Emre Omurlu, Erhan Akdogan, and Celal Sami Tufekci. "Development of a MEMs-based IMU Unit." In 2013 6th International Conference on Recent Advances in Space Technologies (RAST). IEEE, 2013. http://dx.doi.org/10.1109/rast.2013.6581237.

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Merz, P., K. Reimer, M. Weiss, O. Schwarzelbach, C. Schroder, A. Giambastiani, A. Rocchi, and M. Heller. "Combined MEMS inertial sensors for IMU applications." In 23rd IEEE International Conference on Micro Electro Mechanical Systems (MEMS 2010). IEEE, 2010. http://dx.doi.org/10.1109/memsys.2010.5442458.

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Promrit, Piyatap, Somphop Chokchaitam, and Masami Ikura. "In-Vehicle MEMS IMU Calibration Using Accelerometer." In 2018 IEEE 5th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA). IEEE, 2018. http://dx.doi.org/10.1109/icsima.2018.8688778.

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Johnson, Burgess, Curt Albrecht, Todd Braman, Kevin Christ, Patrick Duffy, Daniel Endean, Markus Gnerlich, and John Reinke. "Development of a Navigation-Grade MEMS IMU." In 2021 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL). IEEE, 2021. http://dx.doi.org/10.1109/inertial51137.2021.9430466.

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Zotov, Sergey, Arvind Srivastava, Ken Kwon, Jeremy Frank, Erwin Parco, Martin Williams, Semen Shtigluz, et al. "In-Run Navigation Grade Quartz MEMS-Based IMU." In 2020 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL). IEEE, 2020. http://dx.doi.org/10.1109/inertial48129.2020.9090018.

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Tanigawa, Makoto, Henk Luinge, Linda Schipper, and Per Slycke. "Drift-free dynamic height sensor using MEMS IMU aided by MEMS pressure sensor." In 2008 5th Workshop on Positioning, Navigation and Communication (WPNC). IEEE, 2008. http://dx.doi.org/10.1109/wpnc.2008.4510374.

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Zhe, Zhang, Wang Jian-bin, Song Bo, and Tong Guo-feng. "Adaptive Complementary Filtering Algorithm for IMU Based on MEMS." In 2020 Chinese Control And Decision Conference (CCDC). IEEE, 2020. http://dx.doi.org/10.1109/ccdc49329.2020.9164809.

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Reports on the topic "MEMS IMU"

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Böttger, Simon, Julien Bucher, David Kriebel, Katja Meinel, Dmytro Solonenko, Martin Stiebing, and Chris Stöckel, eds. Abschlussbericht ESF Nachwuchsforschergruppe E-PISA : Energieautarke, drahtlose piezoelektrische MEMS Sensoren und Aktoren in der Medizintechnik und Industrie 4.0. Technische Universität Chemnitz, December 2020. http://dx.doi.org/10.51382/2020.1.

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Im ESF geförderten Projekt E-PISA sind verschiedene, hoch innovative, von der globalen Forschungslandschaft ausgezeichnete und gleichzeitig industrierelevante technische Entwicklungen im Bereich der Mikrosystemtechnik, Medizintechnik und Industrie 4.0 vorangetrieben worden. Fokus der technischen Entwicklung waren zum einen Grundlagenforschung und zum anderen Applikationen von Mikrosystemen auf Basis piezoelektrischer Dünnschichten mit Aluminiumnitrid und Elektronik mit Carbon-Nano-Tubes.
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