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Boiler Steam Temperature Predictive Control Method Based on State Observation Model

A technology of predictive control and state observation, applied in the directions of adaptive control, general control system, control/regulation system, etc., can solve problems such as long stability period, and achieve the effect of improving object characteristics and reducing field test requirements.

Active Publication Date: 2018-03-06
STATE GRID CORP OF CHINA +2
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to make full use of the good characteristics of predictive control, it is necessary to be able to obtain the mathematical model more conveniently and accurately, and to effectively overcome the problem of long stable periods caused by large inertia and large lag objects.

Method used

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  • Boiler Steam Temperature Predictive Control Method Based on State Observation Model
  • Boiler Steam Temperature Predictive Control Method Based on State Observation Model
  • Boiler Steam Temperature Predictive Control Method Based on State Observation Model

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Embodiment

[0017] Embodiment: A boiler steam temperature predictive control method based on a state observation model, comprising:

[0018] Step 1. Based on the principle of natural segmentation or virtual segmentation, replace the entire heat exchanger with multi-stage centralized parameter links for processing, and use the medium outlet parameters of each section as the representative parameters of the centralized parameter link, that is, the characteristics of the centralized parameter link, or design data Or run historical data to mathematically model heat exchanger enthalpy and temperature channels.

[0019] The steam temperature change of the boiler is carried out in heat exchange equipment such as a typical single-phase working medium heat exchanger. The heat exchanger usually has a long pipeline, and from the perspective of full utilization of heat and optimal design of the process flow, there are many A mixed layout pattern forms a natural boundary, such as the low-temperature h...

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Abstract

The invention relates to a boiler steam temperature prediction control method based on a state observation model, which includes: 1. Based on the principle of natural segmentation or virtual segmentation, the heat exchanger is replaced with a multi-stage centralized parameter link, and the medium outlet parameters of each stage Mathematical modeling of the enthalpy and temperature channel of the heat exchanger as a representative parameter of the centralized link; 2. Construct a state observer based on output feedback to estimate the segmental outlet temperature; 3. Cascade the MPC controller and the PID regulator A cascade control loop is formed, and the step response coefficient is obtained according to the enthalpy-temperature channel model of the heat exchanger, and the set value of the leading temperature is obtained; 4. The inner loop PID regulator adjusts according to the deviation between the leading temperature and the output of the MPC controller , get the desuperheating water valve control signal. The invention performs modeling and verification, reducing the demand for on-site tests. Reconstruct the state of the inertial and lagging controlled objects through the state observer to improve the characteristics of the object. Implement predictive control to achieve control goals more accurately and quickly.

Description

technical field [0001] The invention relates to a predictive control method based on a state observation model, specifically a method for effectively segmenting large inertia and large lag control objects, using state observation methods to construct a mathematical model, and performing model predictive control. Boiler steam temperature control. Background technique [0002] Due to the use of the mathematical model of the control object, the model predictive control enables the controller to directly process some typical characteristics of the control object in the dynamic process, and predict the role of disturbance factors in a period of prediction time domain, and make correct decisions under constraints. control effect. Both theoretical derivation and numerical simulation have proved that model predictive control is effective, and more and more appear in practical attempts. [0003] However, if model predictive control is applied alone in field practice, the effect is ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
Inventor 李伟刘世军叶泽民刘江山徐强
Owner STATE GRID CORP OF CHINA