The Basics of MEMS IMU/Gyroscope Alignment
نویسنده
چکیده
Sensor misalignment is often a key consideration for high performance motion control systems that use MEMS inertial measurement units (IMUs) in their feedback loops. For the gyroscopes in the IMU, sensor misalignment describes the angular difference between each gyroscope’s axis of rotation and the system defined inertial reference frame, also known as the global frame. Managing the impact that misalignment has on sensor accuracy can require unique packaging, special assembly processes, or even complex inertial testing in the final configuration. All of these things can have a major impact on important project management metrics such as schedule, investment, and the total cost associated with the IMU in each system. Therefore, sensor alignment is a metric that warrants consideration during early stages of the design cycle, while there is time to define the system architecture around the most efficient solution. After all, nobody wants to burn through 80% of their project schedule and budget to find out that their inexpensive sensor requires hundreds, maybe even thousands, of dollars in unexpected cost adders to meet nonnegotiable deliverables to their end users. Ouch!
منابع مشابه
Rapid Transfer Alignment of MEMS SINS Based on Adaptive Incremental Kalman Filter
In airborne MEMS SINS transfer alignment, the error of MEMS IMU is highly environment-dependent and the parameters of the system model are also uncertain, which may lead to large error and bad convergence of the Kalman filter. In order to solve this problem, an improved adaptive incremental Kalman filter (AIKF) algorithm is proposed. First, the model of SINS transfer alignment is defined based ...
متن کاملModern Breakthrough Technologies Enable New Applications Based on IMU Systems
— This paper describes IMU (Inertial Measurement Unit) platforms and their main target applications with a special focus on the 10 degrees of freedom (10-DOF) inertial platform iNEMO™, its technical features and performances. The iNEMO™ module is equipped with a 3-axis MEMS accelerometer, a 3-axis MEMS gyroscope, a 3-axis MEMS magnetometer, a pressure sensor and a temperature sensor. Furthermor...
متن کاملANFIS Approach for Tracking Control of MEMS Triaxial Gyroscope
In this paper, an Adaptive Neuro Fuzzy Inference System (ANFIS) based control is proposed for the tracking of a Micro-Electro Mechanical Systems (MEMS) gyroscope sensor. The ANFIS is used to train parameters of the controller for tracking a desired trajectory. Numerical simulations for a MEMS gyroscope are looked into to check the effectiveness of the ANFIS control scheme. It proves that the sy...
متن کاملUltra High Quality Factor and Wide Dynamic Range Inertial Mems for North-finding and Tracking Applications
We report high-Q and wide dynamic range MEMS gyroscopes and accelerometers for development of a very compact IMU capable of North finding and tracking over dynamic environment. The vacuum packaged SOI rate sensors utilize symmetric Quadruple Mass Gyroscope (QMG) architecture with measured quality factors of 1.2 million and proven sub– °/hr Allan deviation of bias. The true North detection was a...
متن کاملSensor Fusion based on Complementary Algorithms using MEMS IMU
Conventional attitude/orientation estimating filters are generally complex demanding excessive computational burden. This instigates the requirement for a computationally simple yet sufficiently precise algorithm for applications where computational complexity is of prime import. A relatively simple, robust and equally efficient technique in this regard is the development of complementary filte...
متن کامل