Weak nonlinear network control method based on direct inverse control algorithm

A weak nonlinear, network control technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve the problems of control result distortion, approximation increase, control error increase, etc.

Inactive Publication Date: 2014-06-04
JIANGSU INST OF ECONOMIC & TRADE TECH
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  • Abstract
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Problems solved by technology

Assuming that the nonlinearity is too small, it will cause the defect of increasing the approximation, thereby increasing the control error and distorting the control result

Method used

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  • Weak nonlinear network control method based on direct inverse control algorithm
  • Weak nonlinear network control method based on direct inverse control algorithm
  • Weak nonlinear network control method based on direct inverse control algorithm

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Embodiment

[0089] A weakly nonlinear network control method based on a direct inverse control algorithm provided in this embodiment includes the following steps:

[0090] (1) dividing and setting the network signal storage area with the required space size and space position by manipulating the corresponding memory through the processor of the weak nonlinear network, and storing it in the network signal storage area;

[0091] (2) First, the processor invokes its internal arithmetic unit to operate according to the least squares interpolation estimation method, and compensates the error generated by the transmitted network signal, and obtains the network error compensated network signal after error compensation; Then the processor calls its internal arithmetic unit to run the least squares interpolation estimation method to obtain the stability coefficient of the network signal; finally, the processor calls its internal arithmetic unit to update the network signal before compensation store...

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Abstract

The invention discloses a weak nonlinear network control method based on a direct inverse control algorithm. The weak nonlinear network control method comprises the following steps of (1) calculating the spatial position of a network signal; (2) compensating an error of the network signal by means of the least-square interpolation estimation algorithm, replacing a current network signal detection result with an interpolation estimation result, obtaining a stability coefficient of the network signal by means of operation, and obtaining a weak nonlinear network signal control basis; (3) building a weak nonlinear control inverse model; (4) building a weak non-linear network signal control model. According to the weak nonlinear network control method, control over a weak nonlinear control system is conducted by means of the direct inverse control algorithm, and the signal to noise ratio of the network signal can be increased; meanwhile stability of the network signal is improved, and therefore the requirement for control over the network signal is met.

Description

technical field [0001] The invention relates to the field of network signal control, in particular to a weak nonlinear network control method based on a direct inverse control algorithm. Background technique [0002] With the continuous development and popularization of intelligent control systems, control systems have played an irreplaceable role in different industries. Using the intelligent control system, the research object can be accurately controlled, thereby improving the quality of the product. Intelligent control system has become the core problem that needs to be studied in the field of control. [0003] A nonlinear control system is a control system in which the motion characteristics of state variables and output variables relative to input variables cannot be described by a linear relationship. The basic property of linear causality is to satisfy the principle of superposition. There must be nonlinear components in a nonlinear control system, but the inverse...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/00
Inventor 张旭
Owner JIANGSU INST OF ECONOMIC & TRADE TECH
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