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Non-linear system adaptive optimal control method based on variable error

A nonlinear system, optimal control technology, applied in adaptive control, general control system, control/regulation system, etc., can solve problems such as unknown dynamic characteristics, difficult mathematical models, model uncertainty, etc.

Inactive Publication Date: 2015-08-12
INST OF AUTOMATION CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

These complex systems usually have high nonlinearity, unknown dynamic characteristics, model uncertainty, etc., making it difficult to establish accurate mathematical models

Method used

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  • Non-linear system adaptive optimal control method based on variable error
  • Non-linear system adaptive optimal control method based on variable error
  • Non-linear system adaptive optimal control method based on variable error

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Embodiment Construction

[0038] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0039] The invention discloses a variable error nonlinear self-adaptive control method, which belongs to the optimal control field. Among the existing optimal control methods, adaptive dynamic programming is widely used in nonlinear systems. Traditional adaptive dynamic programming is generally divided into two steps: the strategy performance index function evaluation process and the strategy update process. It requires that each performance index function and policy control function can be accurately obtained, but it is often not possible in practical computing applications. accomplish.

[0040] Specifically, the nonlinear system studied by the present invention is x k+1 =F(x k , u k ), k=0, 1, 2, ..., where is the...

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Abstract

The invention discloses a variable error non-linear adaptive control method; a proper approximation error is introduced to approach a performance index function and a strategy control function, so the index function can finally realize uniform convergence. The method combines with a nerve network; because of excellent approach performance of the nerve network, and evaluate network and strategy network approximation errors can be simultaneously adjusted, so finally the performance index function can be converged into a neighborhood of an optimal evaluate function.

Description

technical field [0001] The invention relates to the technical field of intelligent control, in particular to an adaptive optimal control method for nonlinear systems based on variable errors. Background technique [0002] In today's social life and industrial fields, there are a large number of complex systems, such as power systems, transportation systems, manufacturing systems, chemical process systems, communication network systems, etc., all of which require the controlled system to complete the control objectives under limited resource conditions. Optimal control is the basic condition and comprehensive method to optimize the performance index of the control system, which can be summarized as: for a controlled dynamic system or motion process, find an optimal control scheme from a class of allowed control schemes. The control scheme makes the motion of the system transfer from an initial state to a specified target state, and its performance index value is optimal. [...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
Inventor 刘德荣魏庆来林汉权李超
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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