Operator-based framework for fault diagnosis in nonlinear tracking control systems

摘要

In applying control schemes to real plant, operator failures happen due to various environmental factors. Considering the purpose of engineering safety, the control system of the real plant must have the capability of distinguishing fault signals. For this reason, fault diagnosis or fault detection technology of the plant is studied by many researchers. Broadly speaking, fault diagnosis technology covers two research ways. One is a mechanical method that uses an increased number of sensors. In this approach, each sensor parameter represents a respective working part and has a static normal value in the normal working state. Therefore it is simple to depict the abnormal signal by detecting whether the present sensory data deviate from the standard value or not.