Improving shearer positioning accuracy based on search North finder and Kalman filter

Existing shearer positioning systems are not real-time, ineffective, inaccuracy access to the location and gesture of the shearer, and this paper put forward a new shearer positioning method using north finder and Kalman filter. The method is based on the strapdown inertial navigation positioning into the kalman filter and north finder, then builds the fusion system structure. Meanwhile this paper introduces the principle of strapdown inertial navigation positioning, considering inherent drift error of the gyroscope and accelerometer, so using kalman filter and north finder to reduce the drift errors of inertia components. Finally, the results obtained from several experiments based on the shearer inertial navigation positioning system show that shearer positioning accuracy of the system twice higher than the traditional one.