Alternating current servo system model distinguishing method and control system based on frequency data

Abstract

The invention discloses an alternating current servo system model distinguishing method and a control system based on frequency data, and belongs to the field of alternating current servo system control. The method comprises the following steps that: establishing an alternating current servo system model to be distinguished, obtaining the frequency response data of the system by an excitation system so as to construct a model distinguishing target criterion function, and according to an amplitude value and phase position equal condition, utilizing a set residual error to finish the optimization distinguishing of an optimal model parameter in an iteration domain. By use of the weighting iteration model distinguishing method and the control system based on the frequency data, the determination of a system model structure and the distinguishing of the model parameter under distributed frequency data are realized, in addition, a time delay link in a practical system is simultaneously considered, and a following residual error kurtosis coefficient and a weighting iteration algorithm are used for guaranteeing model parameter update optimization.

Description

technical field [0001] The invention belongs to the field of AC servo system control, and more specifically relates to a weighted iterative model identification method for an AC servo system based on frequency data. Background technique [0002] For AC servo systems with characteristics of nonlinearity, strong coupling, and time-varying parameters, the control performance is not only related to the engineering manufacturing level of related hardware, but also depends on the motion control method used in the system. At present, the intelligent control algorithm used in the AC servo system can improve the dynamic response performance and stability of the AC servo system, but its smooth implementation and application depend on the accurate identification of the AC system model. [0003] The model identification of the AC servo system excites the system and collects the response data of the controlled object, so as to determine the model structure of the system and identify the ...

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Problems solved by technology

[0005] (2) The above literatures seldom focus on the delay link existing in the actual system, and do not model the delay link and identify the model parameters;

[0006] (3) These methods do not consider the impact of system data disturbance on system control performance, and in the process of sending and receiving related data in the bus-type AC servo system, data noise interference, data collision and data transmission will be damaged. Generate corrupted data or invalid packets

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