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Heat supply process modeling method based on typical test signals and least squares

A modeling method and least squares technique, applied in special data processing applications, complex mathematical operations, instruments, etc., can solve problems such as inability to identify thermal processes, low model accuracy, and complex algorithms

Inactive Publication Date: 2012-04-11
HARBIN INST OF TECH
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Problems solved by technology

[0007] Based on the problems of low model accuracy, online operation, complex algorithm and inability to identify the hysteresis of the thermal process in the current modeling method, a heating process modeling method based on typical test signals and least squares is proposed.

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  • Heat supply process modeling method based on typical test signals and least squares
  • Heat supply process modeling method based on typical test signals and least squares
  • Heat supply process modeling method based on typical test signals and least squares

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specific Embodiment approach 1

[0029] Specific implementation mode one: the modeling method described in this implementation mode is realized according to the following steps:

[0030] Step 1. Obtain the response model of unit pulse signal, unit step signal and unit ramp signal:

[0031] The heat supply process is described by the second-order plus lag, and the model structure of the second-order plus lag object is Its identified parameters are K, T 1 ,T 2 and τ; where s is the Laplacian operator in seconds -1 ; K is the proportional coefficient; T 1 ,T 2 are time constants; τ is the lag time constant;

[0032] The following are the response models of the unit pulse signal, unit step signal and unit ramp signal of the second-order system, and let them be A(t), B(t), and C(t) respectively; for the modeled object, the function For the step signal, take the response B(t) of the step signal. This kind of measurement needs to be taken four times respectively for positive and negative, then take the averag...

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Abstract

The invention discloses a heat supply process modeling method based on typical test signals and least squares, relating to a heat supply process modeling method. The invention solves the problem of low model precision, incapability of online operation, complex algorithm and incapability of identifying hysteresis of a heat process of the traditional modeling method. The heat supply process modeling method mainly comprises the steps of: obtaining a response curve of a unit pulse signal, a unit step signal and a unit ramp signal; obtaining an identification equation by a typical transfer function; identifying an unknown parameter of a second order and hysteresis object model by using the least squares; and discretizing to obtain a difference equation of a heat supply object. The modeling method provided by the invention can replace a common ascending curve method, and can obtain a high-precision model. The modeling precision is improved from 7 percent to a range of within 3 percent in comparison with that of the common ascending curve method, and hysteresis time of an object can be directly identified, and further measured by experiments replacing the common method.

Description

technical field [0001] The invention relates to a modeling method for heating process. Background technique [0002] The heating energy consumption in my country's three northern regions accounts for about one-third of the energy consumption of the whole society, and heating is a key area for the country to implement energy conservation. In the implementation of energy-saving heating, whether it is a new project or an energy-saving renovation project, when performing energy-saving optimization and monitoring, it is necessary to model the heating process and study the control strategy based on the characteristics of the process object in order to achieve the desired goal. At present, there are four problems in the modeling of heating process: [0003] 1. The commonly used experimental modeling method has low precision and cannot meet the design requirements of the control system. The soaring curve method is the most commonly used experimental modeling method. Although this ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06F17/16
Inventor 邓盛川齐维贵
Owner HARBIN INST OF TECH
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