Self-adapting control method and system for associated data stream

Abstract

The invention discloses self-adapting control method and system for an associated data stream. A position error of shafts and a time lag error of the shafts are decoupled and separated, and a feed servo system of each shaft processes the position error of the shaft; and state streams of the associated data stream synchronously reach a terminal point by the time lag error of a time lag compensating correction shaft so as to realize multi-shaft synchronous self-adapting control. The invention ignores the mechanism and the process which are generated by complicated linear factors, such as strongdisturbance, strong coupling, multiple variables, and the like and pays attention to the comprehensive effect generated by the complicated linear factors, namely dynamic time lag; and the provided self-adapting control method is open.

Description

A method and system for adaptive control of associated data flow technical field The invention belongs to the field of advanced control. Computer digital control technology is characterized by high-precision servo motion control and multi-axis synchronous control. It is the basic control technology in the technical fields of numerical control equipment, artillery, radar and gyro navigation. The invention relates to self-adaptive control of multi-axis synchronization, and proposes an self-adaptive control method and system of associated data flow aiming at the uncertainty of the controlled object and the change of its dynamic characteristics. Background technique The so-called digitization is to discretize the analog quantity into a data flow of "0" and "1". A digital device is one that digitally processes an input data stream to produce the desired result. Thus, from the point of view of data flow, any digital device is a synthesis device of data flow. Digital TV synthe...

AI Technical Summary

Problems solved by technology

In this way, time is locked by the interpolation cycle, which is not a controllable external variable, but a system parameter. The existing digital control system thus becomes a non-open system with strong real-time and high rigidity, and cannot use the simplest time control, it is impossible to address the synchronization problem of the end point of the associated data flow, it is impossible to perform skew compensation, and it creates a speed planning problem

This is the fundamental reason why the existing digital control technology encounters great difficulties in realizing adaptive control

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