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
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[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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