Attitude Heading Reference System Using MEMS Inertial Sensors with Dual-Axis Rotation [PDF]
Sensors, 2014 This paper proposes a low cost and small size attitude and heading reference system based on MEMS inertial sensors. A dual-axis rotation structure with a proper rotary scheme according to the design principles is applied in the system to compensate for ...
Li Kang +3 more
doaj +2 more sources
An Improved Fault Detection and Isolation Method for Airborne Inertial Navigation System/Attitude and Heading Reference System Redundant System [PDF]
Aerospace, 2023 The integrity of airborne inertial navigation systems (INSs) is the key to ensuring the safe flight of civil aircraft. The airborne attitude and heading reference system (AHRS) is introduced into the construction of a redundant inertial navigation system.
Yuting Dai +4 more
doaj +2 more sources
A nonlinear attitude estimator for attitude and heading reference systems based on mems sensors [PDF]
2016 SICE International Symposium on Control Systems (ISCS), 2016 In this paper, a nonlinear attitude estimator is designed for an Attitude Heading and Reference System (AHRS) based on Micro Electro-Mechanical Systems (MEMS) sensors. The design process of the attitude estimator is stated with detail, and the equilibrium point of the estimator error model is proved to be asymptotically stable using LaSalle’s ...
Yunlong Wang +2 more
core +5 more sources
Development of a reliable adaptive estimation approach for a low‐cost attitude and heading reference system [PDF]
IET Radar, Sonar & NavigationA main challenge within inertial navigation systems involves attitude determination, which refers to the process of estimating the angles that define orientations.
Elahe Sadat Abdolkarimi, Sadra Rafatnia
doaj +2 more sources
Robot sensor failure detection system based on convolutional neural networks for calculation of Euler angles [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2020 In this work, we present a failure detection system in sensors of any robot. It is based on the k-fold cross-validation approach and built from N neural networks, where N is the number of signals read from sensors.
A. Świetlicka, K. Kolanowski
doaj +1 more source
Failure Analysis on Magnetic Heading Error of AHRS
Hangkong gongcheng jinzhan, 2021 Attitude and heading reference system(AHRS)is an important instrument used to measure,calculate and provide flight attitude and heading information. Its indication accuracy directly affects the pilot′s control and the performance of autopilot.
XUE Yongsheng, SONG Liting
doaj +1 more source
A Robust Self-contained Solution for Inertial Attitude Determination Under External Acceleration [PDF]
AUT Journal of Modeling and Simulation, 2023 One of the main issues in inertial navigation systems is attitude determination, which means estimating the level angles (i.e., roll and pitch). This paper investigates the attitude estimation problem for an accelerated rigid body using three gyros and ...
Mohammad-ali Amiri Atashgah +2 more
doaj +1 more source
Low-Cost Attitude and Heading Reference System Filter Using Complementary Method [PDF]
Engineering and Technology Journal, 2015 This paper presents an orientation filter using complementary filter applicable to low-cost sensors based on micro electro-mechanical system (MEMS). The MEMS implementation incorporates magnetic distortion and gyroscope bias drift compensation.
Emad Natiq Abdulwahab +2 more
doaj +1 more source
Aerospace, 2023 In various applications, the extended Kalman filter (EKF) has been vital in estimating a vehicle’s translational and angular motion in 3-dimensional (3D) space. It is also essential for the fusion of data from multiple sensors.
Assefinew Wondosen +5 more
doaj +1 more source
Attitude heading reference algorithm based on transformed cubature Kalman filter
Measurement + Control, 2020 Stable and accurate attitude estimation is the key to the autonomous control of unmanned aerial vehicle. The Attitude Heading Reference System using micro-electro-mechanical system inertial measurement unit and magnetic sensor as measurement sensors is ...
Yong-jun Yu +2 more
doaj +1 more source