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Multi-model generalized predictive control system and performance evaluation method thereof

A generalized predictive control and multi-model technology, applied in the field of performance monitoring and evaluation, can solve the problems that the performance evaluation of generalized predictive control system is in its infancy, and achieve the effect of improving transient performance, steady state performance and performance

Inactive Publication Date: 2013-03-27
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

But performance evaluation of generalized predictive control systems is still in its infancy

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  • Multi-model generalized predictive control system and performance evaluation method thereof
  • Multi-model generalized predictive control system and performance evaluation method thereof
  • Multi-model generalized predictive control system and performance evaluation method thereof

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Embodiment Construction

[0014] The present invention will be further described below in conjunction with accompanying drawing and example.

[0015] (1) the mathematical model of the controlled object that the present invention is aimed at is as follows:

[0016] A(z -1 )y(k)=B(z -1 )u(k-1)+C(z -1 )ξk) / Δ(1)

[0017] In the above formula, u(k), y(k), and ξ(k) are the input, output and zero-mean white noise sequence of the controlled object respectively, Δ=1-z -1 is a difference operator. Here take A=[a 1 ,a 2 ,a 3 ]=[1,-2,1.1], B=[b 0 ,b 1 ]=[1,2], C=1.

[0018] (2) The multi-model set is composed of 8 fixed models with known parameters, a conventional adaptive model and an adaptive model that can be assigned an initial value. For a fixed model set, α 1 ={-1,-2},a 2 ={-2,-1,1,2},b 0 =1,b 1 =2 A total of 8 fixed models. Express the model parameters and data parameters in vector form, that is,

[0019] θ 0 = [ a ...

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Abstract

The invention provides a multi-model generalized predictive control system and a performance evaluation method thereof. A plurality of fixed models and two self-adaptation models are adopted to parallelly identify dynamic characteristics of a system, optimal partial models are switched at each sampling instant to serve as current models based on performance indexes, optimal controllers are designed to control, and a minimum variance standard performance evaluation method is adopted to conduct performance evaluation on the multi-model switched generalized predictive control system. Compared with the traditional single-model generalized predictive control system, the multi-model switched generalized predictive control is adopted in a system for treating procedure parameter hopping, transient state performance of the system is improved, transient state errors are removed, and stability of the system is guaranteed.

Description

technical field [0001] The invention relates to an industrial control system, in particular to a generalized predictive control system based on multi-model switching and performance monitoring and evaluation of the control system. Background technique [0002] Most modern industrial processes have achieved integration and automation. There are a large number of control loops in the process. Poor performance of the control loops will reduce the effectiveness of the control loops, resulting in the inability of safe and stable operation of industrial production. Only those control systems that are well designed and regularly maintained can obtain long-term stable economic benefits. However, in large-scale industrial processes, there are usually many control loops with sudden changes in dynamic characteristics, but there are few corresponding maintenance engineers. [0003] Generalized Predictive Control (GPC) combines rolling optimization strategy with adaptive method, adopts p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/00
Inventor 王昕张巍
Owner SHANGHAI JIAO TONG UNIV
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