In the following paper, we present an industry perspective of inertial sensors for navigation purposes driven by applications and customer needs. Microelectromechanical system (MEMS) inertial sensors have revolutionized consumer, automotive, and industrial applications and they have started to fulfill the high end tactical grade performance requirements of hybrid navigation systems on a series ...

Recently, with the emergence of maritime autonomous surface ships (MASS), ensuring seaworthiness has increased operation MASS. Ship stability is important for safety, and technical methods controlling a ship’s motion are required to evaluate stability. A rolling period estimated using microelectromechanical systems (MEMS) sensors measure metacentric height. However, weather changes (e.g., tempe...

In this paper, we propose an accelerated adaptive backstepping control algorithm based on the type2 sequential fuzzy neural network (T2SFNN) for microelectromechanical system (MEMS) gyroscope with deadzone and constraints. Firstly, mathematical model of MEMS is established to perform dynamical analyses controller design. Then, phase diagrams Lyapunov exponents are presented reveal its chaotic o...

Abstract The noises associated with MEMS measurements can significantly impact their accuracy. characterised by random walk and bias instability errors strictly depend on temperature effects that are difficult to specify during direct measurements. Therefore, the paper aims estimate fractional noise dynamics of stationary gyroscope based finite length triple estimation algorithm (FLTEA). deals ...

Sensing and actuation systems contain sensors to observe the environment and actuators to influence it. However, these sensors can be tricked by maliciously fabricated physical properties. In this paper, we investigated whether an adversary could incapacitate drones equipped with Micro-Electro-Mechanical Systems (MEMS) gyroscopes using intentional sound noise. While MEMS gyroscopes are known to...

In this paper, we propose a novel positioning solution for land vehicles which is highly reliable and cost-efficient. The proposed positioning system fuses information from the MEMS-based reduced inertial sensor system (RISS) which consists of one vertical gyroscope and two horizontal accelerometers, low-cost GPS, and supplementary sensors and sources. First, pitch and roll angle are accurately...

Abstract The measurement accuracy of MEMS gyroscope is relatively low. Starting from the software level, multi-sensor information fusion technology array (MGA) used to reduce drift gyroscope. Firstly, a signal acquisition and processing system for communicating with ADXRS810 based on field-programmable gate (FPGA) designed. Secondly, collected data preprocessed. long-term trend terms are obtain...

Thumbnail-sized inertial measurement systems based on Micro Electro Mechanical Systems (MEMS) technology have been perceived as a breakthrough in the field of inertial navigation. However, even as micromechanical accelerometers have seen widespread commercialization, vibratory micromechanical gyroscopes have not enjoyed similar success. Previous approaches to high-performance micromechanical gy...

We present an application of a microelectromechanical systems (MEMS)-based inertial measurement unit (IMU) to thigh angle estimation for the control of a semi-active knee prosthesis. By using inertial based measurement devices, we can move all of our sensors to one location inside the prosthetic leg. These sensors are challenging to use, however, because error in their measurements will accumul...