Adaptive industrial process optimal control system and method

An industrial process and optimal control technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve the problems of finding the optimal solution and poor applicability

Inactive Publication Date: 2010-11-17
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In order to overcome the shortcomings of existing industrial process optimal control systems and methods that it is difficult to find the optimal solution accurately and quickly and have poor applicabi

Method used

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  • Adaptive industrial process optimal control system and method
  • Adaptive industrial process optimal control system and method
  • Adaptive industrial process optimal control system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0093] refer to figure 1 , figure 2 , an adaptive industrial process optimal control system, including a field smart instrument 2 connected to an industrial process object 1, a DCS system and a host computer 6, and the DCS system is composed of a bus interface 3, an operation station 4, and a database 5 The on-site intelligent instrument 2, the DCS system, and the host computer 6 are connected successively through the field bus, and the host computer includes:

[0094] Initialization module 9 is used for setting initial parameters, optimizing the discretization and initial assignment of variable z(t), and the specific steps are as follows:

[0095] (3.1) The time domain [t 0 , t f ] divided into n subsections on average: [t 0 , t 1 ], [t 1 , t 2 ],...,[t n-1 , t n ], where t n = t f ; The length of each time period is h=(t f -t 0 ) / n;

[0096] (3.2) Discretize the optimization variable z(t) in the time segment described in (3.1), replace z(t) with a variable z (th...

Embodiment 2

[0135] refer to figure 1 and figure 2 , an adaptive industrial process optimal control method, the optimal control method is implemented according to the following steps:

[0136] 1) Specify the state variables and control variables in the DCS system, and set the upper and lower boundaries u of the control variables according to the conditions of the actual production environment and operating restrictions max , u min and the sampling period of the DCS, and the historical data of the corresponding variables in the DCS database 5, the upper and lower boundary values ​​of the control variables u max , u min Send it to the host computer 6.

[0137] 2) In the constraint conversion module 8 of the host computer, the control variable u(t)∈[u min , u max ] into a function expression of another unconstrained variable z(t), namely:

[0138]u(t)=0.5(u max -u min )×{cos[z(t)]+1}+u min (1)

[0139] Then, z(t) is used as the optimization variable for optimization...

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PUM

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Abstract

The invention relates to an adaptive industrial process optimal control system, which comprises an intelligent detecting instrument, a DCS system and a host computer, wherein the intelligent detecting instrument is connected with an industrial process object; the industrial process object, the intelligent detecting instrument, the DCS system and the host computer are connected with one another in turn; and the host computer comprises an information acquisition module, an initialization module, a constraint conversion module, an adaptive solution module, an iterative optimization module, a convergence judgment module and a result output module. The invention also provides an adaptive industrial process optimal control method. The system and the method can accurately and stably find the optimal solution for a non-linear industrial process optimal control problem, have high optimization solution efficiency, and are the optimal control system and method having extensive applicability.

Description

technical field [0001] The invention relates to the field of optimal control of industrial processes, in particular to an adaptive optimal control system of industrial processes. Background technique [0002] Any industrial process, strictly speaking, is a dynamic process, that is, the state variables describing the process (such as flow, temperature, pressure, liquid level, etc.) change with the evolution of time and the transfer of space. The dynamic process is described by differential equations or difference equations, which are called dynamic models. Optimal control is to control the operating variables in the dynamic model so that the performance index of the process can be optimized. [0003] Although some current methods for solving optimal control problems can find solutions to industrial process optimal control problems, they often have problems of slow convergence and instability, and may fall into local optimality, making it difficult to guarantee the global opt...

Claims

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Application Information

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IPC IPC(8): G05B13/04
Inventor 刘兴高陈珑
Owner ZHEJIANG UNIV
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