Electromechanical control system fault diagnosis method based on iterative learning filter

Abstract

The invention discloses an electromechanical control system fault diagnosis method based on an iterative learning filter, and relates to the field of iterative learning control. The method takes the electromechanical control system which contains executor faults, uncertainty disturbance and output sensor non-uniform sampling as a research object, the own characteristics of a non-uniform sampling system are combined to give a novel fault diagnosis method based on the iterative learning filter, and the state-space equation of an executor fault non-uniform sampling electromechanical control system is constructed to equivalently transform an executor fault signal. An iterative learning fault diagnosis filter can be used for solving the fault diagnosis problem of the non-uniform sampling electromechanical control system, fault diagnosis efficiency and accuracy is high so as to be easy in engineering realization, various types of executor faults can be detected and estimated in real time, and meanwhile, executor fault diagnosis frequencies can be effectively reduced.

Description

technical field [0001] The invention relates to the field of iterative learning control, in particular to a fault diagnosis method for electromechanical control systems based on iterative learning filters. Background technique [0002] At present, my country's production and manufacturing process is gradually realizing automation. Digital computers and sensor technologies are widely used in industrial systems. More and more electromechanical control systems in actual engineering appear in the form of sampling data systems. , the electromechanical control system begins to develop towards high complexity and large-scale direction, the safety and stability of the electromechanical control system is particularly important. If the failure of the large-scale electromechanical control system cannot be quickly discovered and dealt with, it will cause the electromechanical control system to fail to operate normally, and may even cause serious consequences such as hardware damage or pr...

AI Technical Summary

Problems solved by technology

However, the main means of discretization of electromechanical control systems is through sensor sampling. It is usually assumed that all sensors are synchronized and sampled at the same rate. However, it is quite difficult in engineering to achieve uniform sampling for all sensors, especially in complex systems. There are usually many different types of sensors, and changes in the system's working environment, such as temperature and pressure, will have a greater impact on the sampling rate, and non-uniform sampling will inevitably occur

This will make the electromechanical control system appear in some cases that some input or output signals are in discrete form while other parts are still in continuous form. Therefore, the system equations of electromechanical control systems in actual situations contain both continuous and discrete signal forms. , can not be simply classified as a continuous system or a discrete system, more precisely, it belongs to a non-uniform sampling system, so the existing fault diagnosis methods for discrete systems or continuous systems are directly applied to electromechanical control systems for fault diagnosis is not accurate

Images