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Hybrid elitist stochastic search optimization method for process industry control loop objects

A control loop and process industry technology, applied in adaptive control, general control system, control/regulation system, etc., can solve problems such as low computational efficiency, local optimal solution, long time consumption, etc., to achieve strong robustness, The search precision and accuracy are improved, and the effect of overcoming the local optimum

Active Publication Date: 2019-01-04
BEIJING CENTURY ROBUST TECH
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Problems solved by technology

But for high-order systems, the calculation efficiency of this method is not high, it takes a long time, and it is difficult to realize the online tuning of the controller parameters; and the random search optimization method is easy to lead to local optimal solutions, and cannot obtain satisfactory results

Method used

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  • Hybrid elitist stochastic search optimization method for process industry control loop objects
  • Hybrid elitist stochastic search optimization method for process industry control loop objects
  • Hybrid elitist stochastic search optimization method for process industry control loop objects

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Embodiment Construction

[0046] Aiming at the method proposed by the present invention, it will be described below in conjunction with an example.

[0047] In the temperature circuit TIC381023 of the sensitive plate of a rectification tower in a chemical plant, when the process is turned on automatically, the temperature cannot be controlled stably due to the inappropriate setting of the controller parameters. The object model is identified and the control The parameters of the rectifier are optimized and set to achieve the purpose of stable control of the temperature of the sensitive plate of the rectification column.

[0048] The original PID parameters of the loop are: proportional parameter K=0.2; integral parameter T i =2.5; Differential parameter T d =0. Now adopt the MERSO random search method proposed by the present invention to identify the model parameters, select formula (3) as the performance index of the sensitive plate temperature loop object model parameter identification, and select ...

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Abstract

The invention discloses a mixed elite random search optimization method for control loop objects in the process industry. When the MERSO (mixed elite random search optimization) method is applied to the parameter identification and operating parameter optimization of a control loop object model of a production apparatus of the process industry, according to the input / output data of a corresponding closed-loop control loop of the apparatus, the parameters of the process object model are accurately estimated, the dynamic optimal parameters of a loop controller are then designed, and thereby the dynamic optimal control of the process loop of temperature, pressure, liquid level, flow and the like in the petrochemical production apparatus is realized.

Description

technical field [0001] The invention belongs to the technical field of process industry production, and relates to a random search optimization method—a mixed elite random search optimization method, which can be applied to parameter identification and operation parameter optimization of a control loop object model of a process industry production device. Background technique [0002] In the field of control theory, there are many types of identification methods for the control object model, but for the rapidly developing modern process industry, such as large-scale ethylene, catalytic cracking and other petrochemical plants, the complexity of the system is getting higher and higher, and the traditional classical system identification method It is difficult to achieve satisfactory results, which has led to the development of advanced control theory and optimization methods. For most of the current advanced control theory methods are advanced methods based on object models, so...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
CPCG05B13/04
Inventor 王文新李全善
Owner BEIJING CENTURY ROBUST TECH
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