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Model-free latent variable adaptive control technology

A model-free self-adaptive and self-adaptive control technology, applied in self-adaptive control, comprehensive factory control, general control system, etc., can solve problems such as multi-transmission error and measurement error, complex decoupling controller structure, etc., and achieve problem simplification , the effect of improving applicability

Pending Publication Date: 2022-08-05
QINGDAO UNIV OF SCI & TECH
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  • Claims
  • Application Information

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Problems solved by technology

However, a large number of calculations will be introduced in this process, and the obtained decoupling controller has a complex structure, which is easy to introduce more transmission errors and measurement errors, and this method requires an accurate mathematical model, and there is an "unmodeled dynamic" problem

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  • Model-free latent variable adaptive control technology
  • Model-free latent variable adaptive control technology
  • Model-free latent variable adaptive control technology

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Embodiment Construction

[0061] In order to better illustrate the purpose and advantages of the present invention, the content of the invention will be further described in detail with reference to the embodiments and the corresponding drawings.

[0062] Aiming at the multi-variable non-square system in the industrial process, the invention adopts the partial least squares control framework, projects the input and output of the system into the latent variable space, uses a more general nonlinear function to describe the relationship between the latent variables, and calculates the relationship between the latent variables. It performs dynamic linearization and obtains an equivalent linear data model. Based on this data model in the latent variable space, an adaptive controller is designed to realize the data-driven control of the non-square system.

[0063] see figure 1 As shown, a model-free latent variable adaptive control technology disclosed in this embodiment includes the following steps:

[006...

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Abstract

The invention discloses a model-free latent variable adaptive control technology for a non-square system in industrial process control, and belongs to the field of process control. Aiming at the problem of difficult control caused by different input and output numbers of the non-square system, the control technical scheme is as follows: acquiring input and output data of the non-square system, and performing normalization processing; utilizing the processed data to establish a partial least square external model, and obtaining a load matrix of input and output data; a general nonlinear system is adopted to describe the relation between latent variables; dynamically linearizing the nonlinear relationship between the latent variables into an equivalent dynamic linear data model; constructing a partial least square control framework, and designing a model-free adaptive controller in a submerged space to realize control of a non-square system; according to the data-driven latent variable model-free adaptive control technology disclosed by the invention, automatic decoupling and variable pairing of a non-square system can be realized, a data-driven method is used, traditional decoupling and dependence on model information are avoided, and good tracking performance is achieved.

Description

technical field [0001] The invention belongs to the field of process control, and more particularly, relates to a model-free latent variable self-adaptive control technology for non-square systems in an industrial process. Background technique [0002] In the actual industrial production process, there are a large number of non-square systems with unequal input variables and output variables. For a non-square system, the simplest processing method is to convert it into a square system by adding or deleting variables according to the performance requirements and system characteristics, and then design the controller according to the control theory of the square system. The disadvantage of this method is that adding input or output will increase the cost of control, deleting input or output will reduce the quality of the control, and because part of the information of the system is ignored, it may introduce a right half-plane pole and cause the system to become unstable. Adds...

Claims

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042Y02P90/02
Inventor 林明明池荣虎林娜刘洋刘志卿
Owner QINGDAO UNIV OF SCI & TECH