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A generalized predictive controller design method in a network control system

A network control system and generalized prediction technology, which is applied in the field of generalized predictive controller design, can solve the problems of being unable to compensate for the influence of noise, without noise information, etc., and achieve the effect of simple structure, low cost and strong portability

Inactive Publication Date: 2017-08-04
NANJING UNIV OF POSTS & TELECOMM
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art and provide a generalized predictive controller design method under the network control system to solve the problem that the traditional generalized predictive controller does not have noise information and cannot compensate for noise influence The problem

Method used

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  • A generalized predictive controller design method in a network control system
  • A generalized predictive controller design method in a network control system
  • A generalized predictive controller design method in a network control system

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0063] Embodiment 1: the controlled autoregressive integral sliding average model of the controlled object is:

[0064] y(t)-2y(t-1)+1.1y(t-2)=Δu(t-1)+2Δu(t-2)+x(t)+0.5x(t-1)

[0065] The objective function established in the generalized predictive control algorithm is:

[0066] the y r (t+j)=αy r (t+j-1)+(1-α)ω-x(t)-0.5x(t-1)

[0067] In this embodiment, when the noise parameter C is a 1×n-dimensional matrix type, and the first item c 1 is the maximum value, then it is determined that the noise received by the controlled object is colored noise.

[0068] According to the objective function, it can be obtained from figure 2 Obtain the tracking situation for the following situation schematic diagram of the network control system.

Embodiment 2

[0069] Embodiment 2: the controlled autoregressive integral sliding average model of the controlled object is:

[0070] y(t)-2y(t-1)+1.1y(t-2)=Δu(t-1)+2Δu(t-2)+x(t)+1.5x(t-1)

[0071] The objective function established in the generalized predictive control algorithm is:

[0072] the y r (t+j)=αy r (t+j-1)+(1-α)ω-1.5x(t)-1.5x(t-1)

[0073] In this embodiment, when the noise parameter C is a 1×n-dimensional matrix type, and the first item c 1 If is not the maximum value, it is determined that the noise received by the controlled object is colored noise.

[0074] According to the objective function, it can be obtained from image 3 Obtain the tracking situation for the following situation schematic diagram of the network control system.

Embodiment 3

[0075] Embodiment 3: the controlled autoregressive integral sliding average model of the controlled object is:

[0076] y(t)-2y(t-1)+1.1y(t-2)=Δu(t-1)+2Δu(t-2)+x(t)

[0077] The objective function in the generalized predictive control algorithm is: y r (t+j)=αy r (t+j-1)+(1-α)ω-x(t)

[0078] In this embodiment, when the noise parameter C is a 1×1-dimensional matrix type, it is determined that the noise received by the controlled object is white noise.

[0079] According to the objective function, it can be obtained from Figure 4 Obtain the tracking situation for the following situation schematic diagram of the network control system.

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Abstract

The invention discloses a design method of a generalized predictive controller under a network control system, which comprises the following steps: expressing the mathematical model of the controlled object as a controlled auto-regressive integral sliding average model; using the generalized predictive control algorithm to establish an original controller Target output function; define the noise and white noise signal received by the controlled object; and modify the established original controller target output function according to the matrix type of the noise parameter; calculate and output control according to the modified controller target output function The amount to the controlled object, so that the output of the controlled object is stable. The invention considers the influence of the noise on the controlled object, so that the output of the controlled object is stable, the noise is compensated, the generalized predictive controller can be used under the network control system, and the structure is simple, the stability is high, the operation is simple, and the transplantability is strong .

Description

technical field [0001] The invention relates to a design method of a generalized predictive controller under a network control system, and belongs to the technical field of the generalized predictive controller. Background technique [0002] Network Control System (NCS) refers to a closed-loop control system with a complete communication network and a remote control system formed by connecting actuators, sensors and controllers through a network. Considering that the network is introduced into the control loop, a series of problems arise, especially the induced delay in the network seriously affects the control performance of the system. [0003] For the compensation of network random delay and packet loss, D.W.Clarke et al. proposed an adaptive control algorithm in 1987, which can compensate the delay and packet loss in the network through multi-step prediction. However, the influence of the noise on the controlled object is not considered in the traditional algorithm, and...

Claims

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 周颖孙超戴俊翔吴强李穆伟
Owner NANJING UNIV OF POSTS & TELECOMM