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Nonlinear predictive control method of unit plant based on chaos and hybrid optimization algorithm

A technology of nonlinear prediction and optimization algorithm, applied in the direction of non-electric variable control, adaptive control, general control system, etc., can solve problems such as incomplete theory

Inactive Publication Date: 2010-07-28
BEIJING JIAOTONG UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

Although the pattern search method has been widely concerned and applied, its theory is not very perfect.

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  • Nonlinear predictive control method of unit plant based on chaos and hybrid optimization algorithm
  • Nonlinear predictive control method of unit plant based on chaos and hybrid optimization algorithm
  • Nonlinear predictive control method of unit plant based on chaos and hybrid optimization algorithm

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Embodiment Construction

[0047] The preferred embodiments will be described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.

[0048] The invention provides a nonlinear predictive control method for a unit unit based on a chaotic hybrid optimization algorithm.

[0049] The modeling object selected in this embodiment is the 500MW steam turbine generator set of Shanxi Shentou No. 2 Power Plant, and its rated main steam flow rate D te 1650t / h, rated drum pressure P de 18.97MPa, rated main steam pressure P te It is 16.18MPa. The drum boiler unit unit is a complex multivariable system, which can generally be simplified as an object with two inputs and two outputs.

[0050]Step 1: Carry out mechanism modeling for the unit unit.

[0051] figure 2 Shown is the core model of the boiler, with two input quantities and two output quantities. The i...

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Abstract

The invention discloses a nonlinear predictive control method of a unit plant based on a chaos and hybrid optimization algorithm, belonging to the control field of thermal process. In the method, a neural network is used as a model prediction measure, the chaos and hybrid optimization algorithm based on SkewTent mapping is used as a rolling optimization strategy, and then the a predictive object is combined to control a steam valve so that the stability of a system is improved and the rapidity of the load regulation is also strengthened. Furthermore, the method solves the problems of nonlinear identification of a load control system for a plant furnace, large on-line rolling optimization calculated amount, slow constriction and the like of a load control system for a plant furnace, improves the real-time performance, the robustness and the dynamic performance of control and develops a new field for the application of the chaos optimization in the control of the thermal process.

Description

technical field [0001] The invention relates to the field of thermal process control, in particular to a nonlinear predictive control method for a unit unit based on a chaotic hybrid optimization algorithm. Background technique [0002] Modern large-scale thermal power generation units are generally high-parameter and large-capacity unit units, and the coordinated control of unit units is often used. The unit unit of thermal power plant is composed of boiler, steam turbine, generator, power grid and load equipment. Among them, the main control system of the machine furnace is the core of the control system, and its main task is to realize the rapid response of the unit to the external load demand while maintaining the main steam pressure within the allowable range. The unit unit load control system of a thermal power plant is a typical nonlinear, time-varying and multivariable complex system. Due to the coupling between the control loops of the furnace and the nonlinear ch...

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Application Information

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IPC IPC(8): G05B13/04G05D27/00
Inventor 王爽心李涵吕丹张秀霞
Owner BEIJING JIAOTONG UNIV