Fast Fault Estimation Method and Equipment Based on Adaptive Unknown Input Observer

Abstract

Embodiments of the present invention provide a fast fault estimation method and device based on an adaptive unknown input observer. The method includes establishing a nonlinear system model of a dynamic control system; establishing an augmented system model according to an augmented state vector of the nonlinear system model; establishing an adaptive unknown input observer according to the augmented system model, so that the The adaptive unknown input observer satisfies the first condition; calculates the augmented state estimation error and actuator fault estimation error; performs error optimization on the adaptive unknown input observer through linear matrix inequality, and calculates the optimized observer parameters; Actuator faults as well as sensor faults are estimated for the nonlinear system model. In this way, the dynamic control system can obtain fault information and specific fault conditions in time after a fault occurs, and can estimate the fault amplitude as accurately as possible while suppressing the influence of external interference on the fault estimation results.

Description

technical field [0001] Embodiments of the present invention generally relate to the field of dynamic control system fault estimation, and more specifically, to a fast fault estimation method and device based on an adaptive unknown input observer. Background technique [0002] As modern systems become more and more complex, high reliability and safety are crucial requirements of the system, so fault diagnosis and fault estimation have attracted extensive research by scholars. A dynamic system is easily affected by various types of external environments. Therefore, the reliability of the system is easily reduced, and it may even be affected by some failures that may cause damage to the system, such as the reduction of the main function of the system or the complete collapse of the system, etc. . Therefore, once a system failure occurs, it should be detected as early as possible, the location of the failure should be located, and the severity of the failure should be determine...

AI Technical Summary

Problems solved by technology

At present, most observer-based fault estimation methods use unknown input observers to decouple the disturbance when dealing with external disturbances, so as to reduce the influence of disturbances on fault estimation. However, the existing fault estimation methods based on unknown input observers The fault estimation of nonlinear systems needs to meet strict observer matching conditions, which limits the practical application range of this method to a certain extent.

Moreover, when considering external interference, generally only the influence of process disturbance is considered, and the influence of measurement noise at the sensor side is not considered.

Images