An orientation estimation strategy for low cost IMU using a nonlinear Luenberger observer

In this work a new orientation estimation strategy for a non-accelerated platform is presented. The proposed strategy is based on a low-cost inertial measurement unit (IMU). Orientation angles are obtained using a nonlinear Luenberger observer, while the common offset issues on the magnetometer are calibrated by a recursive least-square algorithm. The strategy is implemented using a TM4C123GXL microcontroller and a MPU9150 sensor (nine-axis: gyro, accelerometer and magnetometer), which makes it a low-cost, compact system. Experimental results for the calibration and estimation procedures are shown to validate the proposal. •Orientation estimation observer is designed to run in a low cost microcontroller.•Orientation angles are obtained using a nonlinear Luenberger observer.•Hard iron offset are calibrated by a recursive least-square algorithm.