Method for optimizing control system based on model system

A technology for optimizing control and control system, applied in general control system, program control, comprehensive factory control, etc., can solve the problems of complex identification algorithm, unable to ensure optimization results, difficult to popularize and so on, to achieve the steps and algorithms are intuitive and simple, easy to use Grasp and promote the effect that the conditions of use and implementation are easy to meet

Active Publication Date: 2015-12-23
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

[0002] The control system optimization methods commonly used in the current industrial process control are basically divided into three categories. One is the method of setting the PID control parameters for specific objects one by one by the operator based on experience. The disadvantage is that the optimization results cannot be guaranteed due to the randomness of human experience.
The other type is to first identify the model parameters of specific objects, and then use the optimization process of a certain target to determine the adjustment control parameters. The identification algorithm is generally more complicated, and the optimization process of repeated search, iteration, and approximation is required for specific objects one by one. , making it time-consuming and labor-intensive in implementation and maintenance, and there are limitations that are not easy to popularize
There is also a variety of algorithms that use online self-adaptive adjustment of controller parameters (there are also disadvantages such as complex algorithms, only applicable to certain objects, and even poor robustness, requiring senior technicians to implement, and high application costs)

Method used

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  • Method for optimizing control system based on model system
  • Method for optimizing control system based on model system
  • Method for optimizing control system based on model system

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Embodiment approach

[0035] According to an embodiment of the present invention, the control system includes a filter Gf, a controller Gc, and a controlled object Gp, wherein the mathematical model specifying the controlled object Gp is:

[0036] G p ( S ) = 1 K 2 S 2 + K 1 S + K 0 e - τ S ,

[0037] (K 2 ≥0;K 1 >0;K 0 ≥0;τ>0)

[0038] This model basically covers the common first-order (K2=0), second-order, integral (K0=0), non-integral and time-delay (τ>0) objects that account for the majority of industrial processes, where , S is the Laplace op...

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Abstract

The invention discloses a method for optimizing a control system based on a model system, and the method comprises the steps: optimizing a selected target, and obtaining a pair of optimization parameters for a type of objects; optimizing a response function through the model system so that a template gradually recognizes a specific object parameter and controller parameters and filter parameters of an actual system are conveniently calculated, thereby achieving the optimization control; and designing a setting method for on-line control parameters based on the template, wherein the method is used for maintaining a long-time optimization control effect.

Description

technical field [0001] The invention belongs to the field of automatic control, and in particular relates to an optimal design of an industrial process control system, a parameter identification of a controlled object, and a method for realizing a complete set of an optimal control system for online setting of controller parameters. Background technique [0002] The control system optimization methods commonly used in the current industrial process control are basically divided into three categories. One is the method of setting the PID control parameters for specific objects one by one by the operator based on experience. The disadvantage is that the optimization results cannot be guaranteed due to the randomness of human experience. . The other type is to first identify the model parameters of specific objects, and then use the optimization process of a certain target to determine the adjustment control parameters. The identification algorithm is generally more complicated...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/418
CPCY02P90/02G05B19/41885
Inventor 邱育东张文生
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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