Parameter Identification of Multi-motor Driving Cutterhead System Model in Tunnel Boring Machine using Prediction Error Method

In this paper, parameter identification of multi-motor driving cutterhead system model in tunnel boring machine (TBM) using prediction error method (PEM). A state-space linear dynamics model of the cutter system is established based on the first principle by analyzing the working process of the induction motor, coupling, reduction gearbox and spur gear. Then, the parameters of the model are identified using the PEM by considering the constraints of the model parameters. Finally, the identified model is fitted to the test, which shows that the identified model can fit the test data better. We can find that the parameters identified by the PEM method have a good fitting degree and a small mean square error.