Research Projects

The project aims to estimate and compensate for the bias drift of MEMS gyroscope along with improvement of sensors. Optimal Filtering Algorithm using direct modelling for the angular rate signal could reduce the measurement noise and improve the accuracy of the single MEMS gyroscope considerably. If the trueangular rate signal together with the bias drift will be directly modeled to design an optimal filter to reduce the noise and drift of the MEMS gyroscope. The greatest advantage of such an approach is that an estimation of the bias drift can be achieved to compensate for the outputs of gyroscope. This Algorithm should be suitable for static and dynamic condition of the MEMS sensors. The project is being implemented in two phases, in the first phase developemnt of algorithm for the optimal filtering Simulation to run with the sensor datas in offline mode will be carried out and in the second phase, implementation will be carried in real time mode.