Neural network-based synchronization control of the two-rotor vibration setup

This paper considers the application of a learning control algorithm for the two-rotor vibration setup single and multiple synchronization based on speed-gradient method. The primary focus of the paper is to showcase the potential of using neural network control in vibration setups with uncertain parameters. A proposed structure for the learning control system is presented. The neural network was trained using simulation data, considering different values of error in estimating the total energy. The computer simulation results demonstrate the efficiency of a learning control system for vibration setups, which use an artificial neural network to compensate the errors in estimating the current total system energy.