A Novel MEMS Gyro North Finder Design Based on the Rotation Modulation Technique

Zhang, Yongjian; Zhou, Bin; Song, Mengxuan; Hou, Bo; Xing, Haifeng; Zhang, Rong

doi:10.3390/s17050973

Cited by 36 publications

(15 citation statements)

References 27 publications

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“…With the rapid development of the micro-electromechanical system (MEMS) technique, the precision and stability of MEMS gyros have been significantly improved in recent years. (2) Owing to its small size, low cost, low power, and environment adaptability, (3,4) a MEMS gyro north finder has become a research focus in the north finder field. However, limited by its mechanical precision, a MEMS gyro is one or two orders of magnitude worse than a high-precision gyro; (5) thus, effective methods must be developed to improve its measurement accuracy.…”

Section: Introductionmentioning

confidence: 99%

Bidirectional Carouseling Method Based on Phase Difference for MEMS Gyro North Finder

Cai¹,

Zhang²,

Gao³

et al. 2019

Sensors and Materials

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The north finder has been widely used in precision guided weapons, unmanned aerial vehicles (UAVs), and other device. In this paper, a north finder based on a low-cost microelectro-mechanical system (MEMS) gyro is proposed. In order to reduce the substantial bias effect on the gyro's north finding angle, a bidirectional carouseling method is applied. To improve the north finding accuracy, the phase difference between the turntable rotation rate and the gyro output is used. After the calculation of the phase difference, a five-order Butterworth filter is chosen to eliminate the gyro high-frequency noise. Experimental results demonstrate that the proposed method based on the phase difference can effectively improve the north finding accuracy by 50% compared with the traditional carouseling method.

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Section: Introductionmentioning

confidence: 99%

Bidirectional Carouseling Method Based on Phase Difference for MEMS Gyro North Finder

Cai¹,

Zhang²,

Gao³

et al. 2019

Sensors and Materials

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“…In particular, WSNs are increasingly used in various areas, including but not limited to vehicle tracking [ 1 ], structural monitoring [ 2 ], habitat monitoring [ 3 ], and health monitoring [ 4 ]. This revolutionary trend can be primarily attributed to the recent advances in the integration of Micro Electro Mechanical System (MEMS) [ 5 ], low-power circuit design [ 6 ], and wireless technology [ 7 ] into a small form factor for low-cost mass production. Paradoxically, the explosive growth in low-consumption mobile devices, and batteries, which initially contributed to their launch, has since become a brake on their development, particularly because of maintenance problems (refill or replacement) associated with them.…”

Section: Introductionmentioning

confidence: 99%

A New Approach to Design Autonomous Wireless Sensor Node Based on RF Energy Harvesting System

Mouapi

Hakem

2018

Sensors

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Energy Harvesting techniques are increasingly seen as the solution for freeing the wireless sensor nodes from their battery dependency. However, it remains evident that network performance features, such as network size, packet length, and duty cycle, are influenced by the sum of recovered energy. This paper proposes a new approach to defining the specifications of a stand-alone wireless node based on a Radio-frequency Energy Harvesting System (REHS). To achieve adequate performance regarding the range of the Wireless Sensor Network (WSN), techniques for minimizing the energy consumed by the sensor node are combined with methods for optimizing the performance of the REHS. For more rigor in the design of the autonomous node, a comprehensive energy model of the node in a wireless network is established. For an equitable distribution of network charges between the different nodes that compose it, the Low-Energy Adaptive Clustering Hierarchy (LEACH) protocol is used for this purpose. The model considers five energy-consumption sources, most of which are ignored in recently used models. By using the hardware parameters of commercial off-the-shelf components (Mica2 Motes and CC2520 of Texas Instruments), the energy requirement of a sensor node is quantified. A miniature REHS based on a judicious choice of rectifying diodes is then designed and developed to achieve optimal performance in the Industrial Scientific and Medical (ISM) band centralized at 2.45 GHz. Due to the mismatch between the REHS and the antenna, a band pass filter is designed to reduce reflection losses. A gradient method search is used to optimize the output characteristics of the adapted REHS. At 1 mW of input RF power, the REHS provides an output DC power of 0.57 mW and a comparison with the energy requirement of the node allows the Base Station (BS) to be located at 310 normalm from the wireless nodes when the Wireless Sensor Network (WSN) has 100 nodes evenly spread over an area of 300 × 300 m2 and when each round lasts 10 min. The result shows that the range of the autonomous WSN increases when the controlled physical phenomenon varies very slowly. Having taken into account all the dissipation sources coexisting in a sensor node and using actual measurements of an REHS, this work provides the guidelines for the design of autonomous nodes based on REHS.

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“…Another way to improve navigation accuracy is using the rotating modulation technique (RMT), which is an error compensation technique. When the MEMS inertial sensor accuracy is determined, the introduction of this technique can effectively mitigate the constant error of the MEMS inertial sensors [ 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

“…Applying RMT to the MEMS gyro north finder provides a new method for the initial alignment of the MEMS IMU. The MEMS gyro north finder can only find north with a static base; when the base is swinging or vibrating, the error is large and the outputs are not available because the MEMS gyro north finder usually has only one single-axis gyro and one or two accelerometers [ 4 ]. A single axis gyro cannot track the changes in the attitude angles of the swing base, but the MEMS IMU has three gyros and three accelerometers, so theoretically, the attitude change can be tracked.…”

Section: Introductionmentioning

confidence: 99%

Self-Alignment MEMS IMU Method Based on the Rotation Modulation Technique on a Swing Base

Xing

Chen

Yang

et al. 2018

Sensors

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The micro-electro-mechanical-system (MEMS) inertial measurement unit (IMU) has been widely used in the field of inertial navigation due to its small size, low cost, and light weight, but aligning MEMS IMUs remains a challenge for researchers. MEMS IMUs have been conventionally aligned on a static base, requiring other sensors, such as magnetometers or satellites, to provide auxiliary information, which limits its application range to some extent. Therefore, improving the alignment accuracy of MEMS IMU as much as possible under swing conditions is of considerable value. This paper proposes an alignment method based on the rotation modulation technique (RMT), which is completely self-aligned, unlike the existing alignment techniques. The effect of the inertial sensor errors is mitigated by rotating the IMU. Then, inertial frame-based alignment using the rotation modulation technique (RMT-IFBA) achieved coarse alignment on the swing base. The strong tracking filter (STF) further improved the alignment accuracy. The performance of the proposed method was validated with a physical experiment, and the results of the alignment showed that the standard deviations of pitch, roll, and heading angle were 0.0140°, 0.0097°, and 0.91°, respectively, which verified the practicality and efficacy of the proposed method for the self-alignment of the MEMS IMU on a swing base.

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A Novel MEMS Gyro North Finder Design Based on the Rotation Modulation Technique

Cited by 36 publications

References 27 publications

Bidirectional Carouseling Method Based on Phase Difference for MEMS Gyro North Finder

Bidirectional Carouseling Method Based on Phase Difference for MEMS Gyro North Finder

A New Approach to Design Autonomous Wireless Sensor Node Based on RF Energy Harvesting System

Self-Alignment MEMS IMU Method Based on the Rotation Modulation Technique on a Swing Base

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