Control and Fault Diagnosis of a Winding Machine Based on a LTV Model

Abstract

This paper describes a controller design and also a sensor fault diagnosis based on a LTV model for a winding machine. It shows that, according to an experimental identification approach, a LTV model is ideally suited to improve the control of web tension. Moreover, based on this model, an innovative bank of interpolated LTI Kalman filters is synthesised to allow sensor fault detection and isolation (FDI). The advanced control law has been successfully applied to a winding machine. Also, software sensor fault has been generated to improve the accuracy of FDI algorithm in winding machine.

Fault-tolerant Control Systems

“…In this section, the input-output linearizing control, developed within the framework of the continuous systems is considered in discrete-time. [102].…”

Robust Decentralized Fault Estimation for Loss of Actuator Effectiveness of Multi-motor Web-winding System

“…Additionally, some faults such as the uneven wear or fracture of bearing and linkages, the opencircuit fault in an inverter leg, converter power loss and demagnetization can lead to the actuator power loss faults [4][5][6][7][8]. Then, many works about actuator fault diagnosis for web-winding system have been conducted based on linear time-invariant (LTI) model [9][10][11], linear timevarying (LTV) model [12,13], and linear parameter varying (LPV) model [14,15], respectively. However, these models don't consider the coupling relationship between velocity and tension.…”