Modeling of an accelerometer-based inclinometer by artificial neural networks

In this study, dynamic modeling of an accelerometer based inclinometer is carried out. Empirical methods are used in order to obtain the model of the system and an experimental setup is designed and constructed to realize the required experiments. Classical system identification and neural network methods are used to acquire the dynamic models. Since, accelerometers/inclinometers are commonly used in spatially moving vehicles; simulation models of these are needed. Taking advantage of this dynamic model, the simulation results, which include accelerometers/inclinometers, can become more realistic and extensive filtering techniques would work more efficiently with better sub-system models.