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Grey active disturbance rejection control method of long time-delay system

A technology of active disturbance rejection control and active disturbance rejection controller, which is applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve the problem of high control difficulty in large time-delay systems, and achieve improved dynamic and steady-state control performance effect

Inactive Publication Date: 2011-03-30
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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Problems solved by technology

[0003] The present invention is aimed at the problem of high difficulty in the control of large time-delay systems, and proposes a gray ADRC control method for large time-delay systems. The gray prediction model is combined with ADRC to realize the control of complex objects. Experimental The results prove the feasibility and effectiveness of this load control method, and realize the gray active disturbance rejection control of the large time-delay system

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  • Grey active disturbance rejection control method of long time-delay system
  • Grey active disturbance rejection control method of long time-delay system
  • Grey active disturbance rejection control method of long time-delay system

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[0031] Such as figure 1 The structure diagram of the gray ADRR control of the present invention shown, the gray ADRR control method of the large time-delay system: add a gray prediction model GM (1,1) in the feedback loop of the ADRC control, use the gray advanced prediction Compensate the time lag of the system and deal with the system uncertainty caused by time-varying parameters, so as to form a new control law to act on the controlled object, thereby improving the control effect of ADRC and achieving the purpose of effectively controlling complex time-delay objects .

[0032] Gray ADRC is the combination of ADRC and gray theory to overcome the problems of system uncertainty and system delay. It is to add a gray prediction model GM(1,1) in the feedback loop of ADRC, which is used to predict and compensate the system uncertainty caused by system delay and parameter time variation, and form a new control law It acts on the object with large time delay, so as to improve the...

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Abstract

The invention relates to a grey active disturbance rejection control (ADRC) method of a long time-delay system. The method comprises the following steps of: arranging a grey prediction model GM (1,1) in a feedback circuit of ADRC; and compensating system time delay and processing system uncertainty caused by parameter time variation and the like by using grey advanced predication so as to form a new control law acting on a controlled object, improve the control effect of the ADRC and fulfill the aim of efficiently controlling a complicated time delay object. By the control method, the dynamic and steady control performance of a long time-delay time-varying object can be effectively improved by a control system.

Description

technical field [0001] The invention relates to a control method for a large time-delay system, in particular to a gray active disturbance rejection control method for a large time-delay system. Background technique [0002] The control problem of large time-delay process is a hot issue in the research of control theory and practice. The existence of the large time lag phenomenon makes the current control effect of the system reflected in the output after a period of time, and the control part of the system cannot get the feedback information of the control effect in time. When the control effect can be reflected through the output measurement, the control effect at this time The intensity is often overdone. Therefore, the existence of a large time lag increases the overshoot of the system, deteriorates the stability, and prolongs the adjustment time, which seriously affects the control quality of the system. It is generally considered that the pure lag time of the object ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
Inventor 程启明程尹曼汪明媚王映斐
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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