Optimization of neural state estimators of the two-mass system using OBD method

This paper presents neural estimators of the state variable for drive system with elastic joints. The main stages of the design methodology of neural estimators of the torsional torque and the load machine speed were presented. For the optimization of the structure of each neural networks the Optimal Brain Damage method was implemented. The signals estimated by neural networks were tested in the control structure with additional feedbacks from the shaft torque and the difference between the motor and the load speeds. The simulation results show good accuracy of both presented neural estimators for the wide range of changes of the reference speed and the load torque. The simulation results are verified by laboratory experiments.