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A data-driven anti-disturbance control structure for uncertain systems with unknown control gain

A control gain and data-driven technology, applied in general control systems, control/regulation systems, adaptive control, etc., can solve problems such as poor control gain input parameters and difficulty in obtaining convergence performance

Active Publication Date: 2022-05-31
DALIAN MARITIME UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] According to the above-mentioned technical problems that the control gain input parameters are difficult to obtain and the convergence performance is poor, a data-driven anti-interference control structure for systems with unknown and uncertain control gains is provided

Method used

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  • A data-driven anti-disturbance control structure for uncertain systems with unknown control gain
  • A data-driven anti-disturbance control structure for uncertain systems with unknown control gain
  • A data-driven anti-disturbance control structure for uncertain systems with unknown control gain

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Embodiment Construction

[0027]

[0032]

[0034] where is the derivative of the desired state of the complex uncertain system, k∈R

[0035] x

[0039]

[0044]

[0045] The unknown uncertainty is estimated by the filter 2 output filtering state derivative L2:

[0046]

[0048]

[0051] The filtering state derivative L and the filtering regression matrix T that the filter module outputs are connected with the input end of the stacker module.

[0053] The input end of the stacker module is connected with the filtered state derivative L and the filtered regression matrix T. stack memory design

[0054]

[0059]

[0062] The technical scheme of the present invention is further described below by specific application examples.

[0065]

[0067]

[0068] wherein for the control input reference parameter: k=-50;

[0069] The expanded state observer is designed as:

[0070]

[0071] wherein the parameters introduced for estimating the unknown uncertainty: θ

[0073]

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Abstract

The invention provides a data-driven anti-jamming control structure for a system with unknown and uncertain control gain, which is characterized by comprising: an input controller module, an extended state observer module, a filter module, a stacker module and a control input gain estimation module. The present invention combines the self-adaptive method with the extended state observer, proposes a data-driven anti-interference control structure design for a system with unknown and uncertain control gain with fast response, high benefit, and strong environmental adaptability, and realizes control input gain b 0 The accurate estimation of and the effective estimation of the unknown uncertainty σ ensure that the actual value x of the state parameter of the complex uncertain system converges to the expected value r, and the estimated value converges to the actual value x.

Description

A Data-Driven Anti-jamming Control Structure for Unknown and Uncertain Control Gains technical field The present invention relates to indeterminate system anti-jamming control field, specifically, relate in particular to a kind of control gain unknown Data-driven anti-jamming control structures for uncertain systems. Background technique PID control is currently the most widely used control method in the field of industrial control. Example control, integral adjustment, differential adjustment, in the field of modern industrial production with simple principle, easy to use, high reliability, Flexible and robust. However, industrial objects are complex and generally have internal and external uncertainty, strong interference and time-varying. factor, which reduces the accuracy and robustness of PID control, so the application of PID control in complex uncertain nonlinear systems restricted. Active disturbance rejection control (ADRC) takes the uncertainty generat...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
CPCG05B13/042Y02P90/02
Inventor 刘陆阮明昊古楠王丹彭周华
Owner DALIAN MARITIME UNIVERSITY
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