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Multi-model self-adaptive controller and control method of zero-order closely-bounded nonlinear multivariable system

An adaptive controller and non-linear technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve the problems of limited identification ability of linear identification model and the inability of multiple linear models to guarantee control performance, etc.

Inactive Publication Date: 2013-09-25
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

However, for systems with strong nonlinearity, the identification ability of the linear identification model is limited, and multiple linear models cannot guarantee good control performance.

Method used

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  • Multi-model self-adaptive controller and control method of zero-order closely-bounded nonlinear multivariable system
  • Multi-model self-adaptive controller and control method of zero-order closely-bounded nonlinear multivariable system
  • Multi-model self-adaptive controller and control method of zero-order closely-bounded nonlinear multivariable system

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Embodiment Construction

[0042] The following will clearly and completely describe and discuss the technical solutions in the embodiments of the present invention with reference to the accompanying drawings of the present invention. Obviously, what is described here is only a part of the examples of the present invention, not all of the examples. All other embodiments obtained by those of ordinary skill in the art without creative work, all belong to the protection scope of the present invention.

[0043]In order to facilitate the understanding of the embodiments of the present invention, the following will take specific embodiments as examples for further explanation and description in conjunction with the accompanying drawings, and each embodiment does not constitute a limitation to the embodiments of the present invention.

[0044] as attached figure 1 As shown, the multi-model adaptive controller proposed by the present invention includes a nonlinear robust adaptive controller 1 , a nonlinear neur...

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Abstract

The invention discloses a multi-model self-adaptive controller and control method designed for a zero-order closely-bounded nonlinear multivariable system. The multi-model controller is provided with a nonlinear robust self-adaptive controller and a nonlinear neural network self-adaptive controller. Due to the fact that a nonlinear complementation item is introduced, the identification model of the nonlinear robust self-adaptive controller and the output errors of a real system are guaranteed to be bounded. The BIBO stability of the system can be guaranteed through a one-step advanced control law designed by utilizing model errors. System control signals are generated through the switching of the two controllers, and the performance of the system is improved through the neural network self-adaptive controller.

Description

technical field [0001] The invention relates to various actual controlled objects in the production process of various industries, in particular to a class of multi-model neural network adaptive controller and control method of a class of zero-order near-bounded nonlinear multi-variable discrete systems. Background technique [0002] The problem of output tracking of nonlinear systems has been proposed in different fields such as engineering science, computer science, and life science, and has become an important research topic in the field of control. Such systems often have the characteristics of strong nonlinearity, fast time-varying, model uncertainty, and a large number of unknown parameters. Classical control theory and modern control theory are mainly linear methods. These methods need to linearize nonlinear systems under strict assumptions, and have high requirements for nonlinear systems. At the same time, they ignore the characteristics of nonlinear systems, result...

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Application Information

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IPC IPC(8): G05B13/04
Inventor 王昕黄淼
Owner SHANGHAI JIAO TONG UNIV
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