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Minimum information entropy-based evaluation method of parallel cascade control system

A technology of cascade control and evaluation method, which is applied in the general control system, control/regulation system, adaptive control, etc., and can solve problems that are difficult to meet

Inactive Publication Date: 2019-01-01
UNIV OF SHANGHAI FOR SCI & TECH
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Problems solved by technology

[0004] However, the past research on performance evaluation methods all assume that the disturbance or noise is subject to Gaussian distribution, and it is difficult to meet this requirement in most practical industrial processes

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  • Minimum information entropy-based evaluation method of parallel cascade control system
  • Minimum information entropy-based evaluation method of parallel cascade control system
  • Minimum information entropy-based evaluation method of parallel cascade control system

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Embodiment Construction

[0059] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the following embodiments are combined with the accompanying drawings to illustrate the present invention in detail.

[0060] Such as figure 1 As shown, the evaluation method of the parallel cascade control system based on minimum information entropy in this embodiment includes the following steps:

[0061] Step 1, according to the parallel serial control system, there are two loops, and the input signal is Y set , total output value Y 1,2 See formula (1) below

[0062] Y 1,2 =Y 1 +Y 2 (1)

[0063] Y 1 The output value of the main loop, Y 2 is the output value of the secondary loop;

[0064] Step 2, assuming the input signal Y set = 0, then the output value of the main circuit Y 1 and the output value Y of the secondary loop 2 The following formulas (2) and (3) are obtained according to the transformation of Mason's formula respec...

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Abstract

A problem to be solved by the present invention is to provide a minimum information entropy-based evaluation method of a parallel cascade control system. The method is used for evaluating performanceof the parallel cascade control system, and the method disclosed in the present invention is invented to solve problems of a conventional evaluation method of the parallel cascade control system. Themethod disclosed in the invention is aimed at evaluating the performance of the parallel cascade control system via use of minimum information entropy reference. A minimum information entropy index can not only correctly be used for reflecting the performance of the parallel cascade control system in Gaussian perturbation, but can also be used for well reflecting the performance of the parallel cascade control system in non-Gaussian disturbance. The minimum information entropy index can be used for effectively reflecting the performance of the parallel cascade control system based on comparison with evaluation results of minimum variance and the minimum variance with forgetting factors. Shortcomings of the conventional evaluation method of the parallel cascade control system can be overcome, and limitations of the evaluation method of the parallel cascade control system can be prevented.

Description

technical field [0001] The invention relates to a parallel serial control system, in particular to an evaluation method of a parallel serial control system based on minimum information entropy. Background technique [0002] There are two forms of cascade control loops, one is a classic cascade control system, and the other is a more special parallel cascade control system. [0003] For the classic cascade control system, BS Ko studied the cascade control system performance evaluation based on the minimum variance criterion. Wang Haibo et al. applied the generalized minimum variance criterion to the performance evaluation of the cascade control system. Performance evaluation of a class of nonlinear cascade control systems. Subsequently, Jianwen Guo applied the minimum variance and generalized minimum variance criteria to the parallel cascade control system. After that, few scholars have done in-depth research, only some applications of parallel and serial control systems. ...

Claims

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 王亚刚刘阳赵鑫张迁
Owner UNIV OF SHANGHAI FOR SCI & TECH
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