Distributed PID (Proportion Integration Differentiation) predictive function control method for furnace box temperature of waste plastic cracking furnace

A technology for predicting function control and furnace temperature, applied in the field of automation, can solve problems such as high model requirements, poor steady-state performance, and difficulty in achieving control effects with DPFC methods, and achieve good control quality and improved degrees of freedom

Inactive Publication Date: 2017-02-22
HANGZHOU DIANZI UNIV
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Problems solved by technology

Distributed predictive function control (DPFC) is a typical application of predictive control in distributed control structures. While effectively solving complex high-dimensional large-scale system online optimization control problems, it usually has high requirements for models, poor steady-stat

Method used

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  • Distributed PID (Proportion Integration Differentiation) predictive function control method for furnace box temperature of waste plastic cracking furnace
  • Distributed PID (Proportion Integration Differentiation) predictive function control method for furnace box temperature of waste plastic cracking furnace
  • Distributed PID (Proportion Integration Differentiation) predictive function control method for furnace box temperature of waste plastic cracking furnace

Examples

Experimental program
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Embodiment Construction

[0100] Take the furnace temperature control of waste plastic pyrolysis furnace as an example:

[0101] The furnace temperature control system of the waste plastic pyrolysis furnace is a typical coupling process with multiple variables and hysteresis, and the adjustment method adopts the opening of the combustion nozzle.

[0102] Step 1. Establish the step response model vector of the furnace temperature object through the real-time step response data of the waste plastics pyrolysis furnace furnace temperature control system. The specific method is:

[0103] 1.1 According to the idea of ​​distributed control, a large-scale system with N input and N output is dispersed into N furnace subsystems;

[0104] 1.2 Under steady-state conditions, take the opening of the combustion nozzle of the j-th furnace as the input to conduct a step response experiment on the output temperature of the i-th furnace, and record the j-th (1≤j≤N) input and the i-th input respectively. (1≤i≤N) output s...

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Abstract

The invention discloses a distributed PID (Proportion Integration Differentiation) predictive function control method for the furnace box temperature of a waste plastic cracking furnace. The distributed PID predictive function control method comprises the following steps: firstly, establishing a step response model vector of a process object by acquiring real-time step response data of a control system; secondly, converting an online optimization problem of a large-scale system into an optimization solving problem of each small-scale subsystem, and considering each subsystem under a network environment as an intelligent agent, wherein all the intelligent agents realize information sharing by network communication; thirdly, improving a performance index of a DPFC (Distributed Predictive Function Control) method by introducing a PID operator, and designing PID predictive function controllers of all the intelligent agents; fourthly, enabling an instant control law obtained at a current moment to act on each intelligent agent, and rolling a time domain to the next moment; finally, finishing an optimization task of the whole large-scale system by sequential iterative cycle. According to the distributed PID predictive function control method disclosed by the invention, the defects of a traditional DPFC method are effectively made up, and the degree of freedom of control parameter design is improved.

Description

technical field [0001] The invention belongs to the technical field of automation, and relates to a distributed PID predictive function control method for the furnace temperature of a waste plastic cracking furnace. Background technique [0002] With the development of computer network technology, control as a means of information processing is not limited to centralized control structure, but more replaced by distributed control structure, which brings many challenges to traditional control problems. . Distributed Predictive Functional Control (DPFC) is a typical application of predictive control in distributed control structures. While effectively solving complex high-dimensional large-scale system online optimization control problems, it usually has high requirements for models, poor steady-state performance, and inability to Quickly suppress unknown interference and other deficiencies. Therefore, for control systems with large uncertainties in model order, environmenta...

Claims

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Application Information

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IPC IPC(8): G05B11/42
CPCG05B11/42
Inventor 张日东汪大卫
Owner HANGZHOU DIANZI UNIV
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