CN104533821A - Gas compressor control method - Google Patents

Abstract

The invention relates to the field of gas turbine control, in particular to a gas compressor control method by a gas compressor simulation model. The gas compressor control method comprises the following steps that firstly, the gas compressor simulation model is established; secondly, data input and output by a gas compressor are collected; thirdly, the value of model parameters is calculated according to the data; fourthly, analogue output data are obtained by inputting the real time input data of the gas compressor into the gas compressor simulation model. If the difference between the analogue output data and the real time input data is in a required error range, the gas compressor simulation model is used for estimating working condition data of the gas compressor in a time period from the current moment, and the real working condition state of the gas compressor is monitored and regulated. The gas compressor simulation model can precisely simulate the gas compressor and predict the working condition data of the gas compressor in a period of time, and therefore the gas compressor can be regulated and monitored efficiently, in real time and precisely.

Description

A kind of gas compressor controlling method

Technical field

The present invention relates to gas turbine control field, particularly relate to a kind of method of being carried out gas compressor control by gas compressor simulation model.

Background technique

Gas compressor utilizes the blade of High Rotation Speed to air work done to improve air pressure, is one of three large parts of gas turbine.Gas compressor can be divided into two large elements, i.e. rotor and stator.Rotor is the rotating part based on rotating shaft, and blade is equipped with in rotating shaft, and it is the major component of composition rotor, due to these blades along with rotor rotates together, therefore is referred to as movable vane.Stator is based on cylinder and the part being contained in each static part on cylinder, mainly comprises cylinder and stator blade.Be made up of an elementary cell of gas compressor movable vane and stator blade, be referred to as level.Gas compressor is combined by the level of many work that are chained together each other.When the rotor of gas compressor does high speed rotary motion, movable vane, to air work, makes the gas flow rate in movable vane passage accelerate and pressure rising; And in the runner of stator blade, when flowing through the diffusion runner constantly increased by the passage section formed between stator blade, the flow velocity of air-flow declines gradually, the pressure of gas then raises further.So, gas progressively supercharging in the runner at multistage movable vane and stator blade, reaches the pressure required by design.

Gas turbine, as equipment of paramount importance in combined cycle generation, is the nonlinear system of a high complexity.Gas compressor is as the important component part of gas turbine, and the quality of its performance directly has influence on roadability and the performance of gas turbine and Combined Cycle Unit.Analyzed the working state of gas compressor on the one hand by the working mechanism of compressor stage, pre-job training will be carried out to operator on the other hand, make it grasp the control flow of real system, avoid unnecessary accident to occur.But in actual production, due to complex flow in gas compressor, equipment is numerous and diverse, bring very large difficulty to the real-time control of gas compressor and optimization.Therefore, how can accurately estimate gas compressor parameters, and control gas compressor working state according to this estimation result and become problem demanding prompt solution.

Therefore, for above deficiency, the invention provides a kind of method of being carried out gas compressor control by gas compressor simulation model.

Summary of the invention

(1) technical problem that will solve

The object of this invention is to provide a kind of gas compressor controlling method control in real time to solve existing gas compressor and optimize the problem had difficulties.

(2) technological scheme

In order to solve the problems of the technologies described above, the invention provides a kind of gas compressor controlling method, it comprises the following steps:

S1, set up the gas compressor simulation model corresponding to gas compressor, described gas compressor simulation model comprises some model parameters;

S2, gather gas compressor input data within a certain period of time and export data;

S3, the input data gathered according to step S2 and export data, calculate the value of the model parameter of described gas compressor simulation model;

S4, the real time input data gathering gas compressor and real time output data, export data by described gas compressor simulation model calculating simulation, and calculating simulation exports the difference between data and real time output data, when this difference is not in margin of error, return step S2, otherwise continue next step;

S5, utilize gas compressor simulation model to calculate the operating state data of gas compressor within a period of time that current time rises, monitor and regulate the actual working state of gas compressor accordingly.

Wherein, the working medium of described gas compressor is air, adopts the mode of Modularization modeling to set up gas compressor simulation model.

Wherein, described gas compressor simulation model comprises working medium physical parameter computation model, gas compressor volumetric model and compressor characteristics model.

Wherein, the method that compressor characteristics model is set up is: obtain compressor performance characteristic curve data, and is compiled into number table, and the gas compressor parameter under then adopting interpolation to obtain institute's design condition, sets up compressor characteristics model according to gas compressor parameter.

Wherein, the method that compressor characteristics model is set up is: according to the measured data under the different operating mode in scene, obtains gas compressor parameter carry out compressor characteristics modeling according to statistical law.

Wherein, in step S2, described input data comprise mass fraction and the gas compressor running parameter of each gas componant in the flow of entrance pressure mechanism of qi air, temperature, pressure, air;

Described output data comprise blower outlet gas flow, temperature and pressure;

Wherein, described gas compressor running parameter comprises the switching signal of gas compressor anti-asthma bleed valve and the angle of gas compressor adjustable guide vane.

(3) beneficial effect

Technique scheme tool of the present invention has the following advantages: in gas compressor controlling method of the present invention, first gas compressor simulation model is set up, then the input of gas compressor is gathered, the data exported, then the value of model parameter is calculated according to these data, modulating output data are being obtained by gas compressor real time input data input gas compressor simulation model, if modulating output data and real time output data are than the margin of error required than difference, this gas compressor simulation model is then utilized to estimate the operating state data of gas compressor within a period of time that current time rises, and monitor and regulate the actual working state of gas compressor accordingly.This model accurately can emulate gas compressor, and by the operating state data in this model prediction gas compressor a period of time, thus can efficiently, in real time, accurately adjust and monitor gas compressor.

Accompanying drawing explanation

Fig. 1 is the structural representation of gas compressor in embodiment of the present invention gas compressor controlling method;

Fig. 2 is embodiment of the present invention gas compressor controlling method workflow schematic diagram.

In figure, 1: intake duct; 2: adjustable guide vane; 3: one-level movable vane; 4: movable vane; 5: stator blade; 6: exit gas.

Embodiment

Below in conjunction with drawings and Examples, the specific embodiment of the present invention is described in further detail.Following examples for illustration of the present invention, but are not used for limiting the scope of the invention.

As shown in Figure 1, in figure, the direction of arrow is the flow direction of air turnover gas compressor, and air, first through compressor inlet port 1, then after import adjustable guide vane 2 adjusts airflow direction, enters first order movable vane 3; The rotor of gas compressor does high speed rotary motion, movable vane 4 pairs of air works, the gas flow rate in movable vane passage is accelerated and pressure rising; In the runner of stator blade 5, when flowing through the diffusion runner constantly increased by the passage section formed between stator blade 5, the flow velocity of air-flow declines gradually, and the pressure of gas then raises further; Progressively supercharging in the runner of multistage movable vane and stator blade again, reaches the pressure (namely blower outlet gas 6 meets the requirements) required by design.It should be noted that, this Fig. 1 is schematic sketch, and actual gas compressor also comprises other each workpiece, such as pipe-line system, bearing etc., but it is all those skilled in the art and knows, and do not affect control system of the present invention and method, therefore do not add at this and repeat.

As shown in Figure 2, gas compressor controlling method of the present invention comprises the following steps:

S1, set up the gas compressor simulation model corresponding to gas compressor, described gas compressor simulation model comprises some model parameters;

S2, gather gas compressor input data within a certain period of time and export data;

S3, the input data gathered according to step S2 and export data, calculate the value of the model parameter of described gas compressor simulation model;

S4, the real time input data gathering gas compressor and real time output data, export data by described gas compressor simulation model calculating simulation, and calculating simulation exports the difference between data and real time output data, when this difference is not in margin of error, return step S2, otherwise continue next step;

S5, utilize gas compressor simulation model to calculate the operating state data of gas compressor within a period of time that current time rises, monitor and regulate the working state of gas compressor accordingly.

In above-described embodiment, according to gas compressor operation mechanism and characteristics of components, based on quality, momentum, principle of conservation of energy and thermomechanics, the basic relational expression such as thermal conduction study, first gas compressor simulation model is set up (certainly, this gas compressor simulation model comprises some model parameters), then the input of gas compressor is gathered, the data exported, then the value of model parameter is calculated according to these data, modulating output data are being obtained by gas compressor real time input data input gas compressor simulation model, if modulating output data and real time output data are than the margin of error required than difference, gas compressor simulation model is then utilized to estimate the operating state data of gas compressor within a period of time that current time rises, and monitor and regulate the actual working state of gas compressor accordingly.This model accurately can emulate gas compressor, and by the operating state data in this model prediction gas compressor a period of time, thus can efficiently, in real time, accurately adjust and monitor gas compressor.

Particularly, described gas compressor simulation model comprises working medium physical parameter computation model, gas compressor volumetric model and compressor characteristics model; Described input data comprise mass fraction and the gas compressor running parameter of each gas componant in the flow of entrance pressure mechanism of qi air, temperature, pressure, air; Described output data comprise blower outlet gas flow, temperature and pressure; Described gas compressor running parameter comprises the switching signal of gas compressor anti-asthma bleed valve and the angle of gas compressor adjustable guide vane.

Particularly, each step above-mentioned is introduced below respectively.

S1, set up the gas compressor simulation model corresponding to gas compressor, this simulation model comprises some model parameters.

Gas compressor simulation model of the present invention adopts modularization modeling method to set up the simulation model of gas compressor, and described working medium is air.

Construction mold volume description is as follows: assuming that enter the component (N of compressor air 1 ₂, O ₂, Ar ₂, CO ₂, H ₂o), flow G _c1, temperature T _c1, pressure P _c1, adjustable guide vane IGV angle θ etc.; Require the flow G calculating blower outlet gas 6 _c2, temperature T _c2, pressure P _c2deng.The level be made up of movable vane and stator blade is the elementary cell of energy interchange in gas compressor, and to be chained together the runner formed by all levels, is called " flow passage component " of gas compressor.For gas compressor, enter compressor air 1 after import adjustable guide vane adjustment airflow direction, through the progressively supercharging by the multistage runner that forms, obtain blower outlet pressurized gas 6.Therefore, the core that gas compressor flow passage component simulation model is gas compressor modeling is completed.

Respectively the foundation of working medium physical parameter computation model, gas compressor volumetric model and compressor characteristics model is described below.

In gas compressor modeling, the working medium physical parameter related to is mainly specific heat at constant pressure and the enthalpy of air, and the foundation of working medium physical parameter computation model is as follows.For the calculating of specific heat at constant pressure, consider its variation relation with temperature and constituent of air, first utilize formula (1) to calculate the specific heat at constant pressure of often kind of component, then passing through type (2) calculates the specific heat at constant pressure of air.

$c_{p,k}^o=\underset{i=1}{\overset{10}{\mathrm{\Σ}}}{\mathrm{\α}}_{k,i}{\left(\frac{T}{T_r}\right)}^{b_i}---\left(1\right)$

In formula: coefficient k is different component; T _rfor reference temperature, and T _r=273.15K; α _k,iand b _ifor corresponding design factor; T is the temperature of gas; for the specific heat at constant pressure of component.

$c_{p,\mathrm{mix}}^o=\underset{k=1}{\overset{8}{\mathrm{\Σ}}}{x}_k{c}_{p,k}^o---\left(2\right)$

In formula: x _kfor the mass fraction of gas component; for the specific heat at constant pressure of air.Above-mentioned formula (1) and (2) can the specific heat at constant pressures of accurate Calculation air in certain temperature range.

For the calculating of enthalpy, utilize formula (1), by enthalpy can be obtained further to the integration of temperature T.Often kind of component enthalpy can be calculated by formula (3).

$h_k^o={\mathrm{\α}}_{k,I}+\underset{i=1}{\overset{10}{\mathrm{\Σ}}}{\mathrm{\α}}_{k,i}\frac{T_r}{b_i+1}{\left(\frac{T}{T_r}\right)}^{b_i+1}---\left(3\right)$

In formula: coefficient k is different component; T _rfor reference temperature, and T _r=273.15K; α _{k, Ι}, α _k,iand b _ifor corresponding design factor; T is the temperature of gas; for the enthalpy of component.And then, the enthalpy of air is calculated by formula (4).

$h_{\mathrm{mix}}^o=\underset{k=1}{\overset{8}{\mathrm{\Σ}}}{x}_k{h}_k^o---\left(4\right)$

In formula: x _kfor the mass fraction of gas component; for the enthalpy of air.

Further, consider the volume effect existed in gas compressor inside and connecting tube, set up gas compressor volumetric model to react its volume effect.By considering gas compressor volume effect, not only avoid the iterative computation in dynamic simulation, and being beneficial to gas compressor Modularization modeling.

Volume link in gas compressor is made the following assumptions:

Without heat output on flow direction,

Volume size is constant;

Then utilize mass-conservation equation can obtain the following pressure flow differential equation:

$\frac{V_p}{m{\mathrm{RT}}_{\mathrm{out}}}\·\frac{{\mathrm{dp}}_{\mathrm{out}}}{\mathrm{dt}}=g_{\mathrm{in}}-g_{\mathrm{out}}---\left(5\right)$

In formula: V _pfor volume module volume; p _outfor outlet pressure; T _outfor outlet temperature; g _infor flowing into flow; g _outfor flowing out flow; R is gas constant; M is process factor, is similar to by ratio of specific heat k.

Due to the reverse pressure gradient distribution of gas compressor interior flow field, make gas flow situation very complicated, there is no the theoretical formula of accurate description compressor characteristics so far, this causes gas compressor to be modeled as difficult point.Usually, the complete performance of gas compressor generally obtains in the immutable situation of geometrical construction.And gas turbine starting, shut down, loading procedure and band portion load time need to prevent compressor surge by adjustment compressor inlet adjustable guide vane IGV and control turbine outlet temperature; So the change of the geometrical construction of generation will cause characteristic departing from.In modeling, need to consider that the change of IGV is on the impact of compressor characteristics.

For the foundation of compressor characteristics model, provide two kinds of main methods:

First method solves compressor performance characteristic curve data, and be compiled into several table and store, the gas compressor parameter under then adopting interpolation method to obtain institute's design condition.In engineer applied, first based on published compressor characteristics pertinent literature, utility theory analysis (mainly containing Elementary Cascade Method, stage stacking technique and ternary N-S method) Binding experiment rule derives more rational compressor performance characteristic curve; Then according to real data, compressor performance characteristic curve is revised; Thus obtain realistic compressor performance characteristic curve data.

Second method is according to the measured data under the different operating mode in scene, from statistical law, modeling is carried out to compressor inlet flow, pressure ratio and efficiency etc., and based on gas compressor measured data, application-dependent data process means (as method of induction, the Return Law etc.), correct the model obtained.

Below, in a second approach for example is described.According to gas compressor operation mechanism, known compressor inlet flow G _c1by rotor speed n, import atmospheric temperature T _c1, atmospheric pressure P _c1, combustion engine exhaust pressure P ₄with the factor impact such as the angle θ of IGV.Utilize the theory of similarity, based on Analysis on Mechanism, use for reference dimensional method, to gas compressor flow G _c1modeling:

G _c1＝G _dB ₁(n)B ₂(T _c1,P _c1)B ₃(P ₄)B ₄(θ) (6)

Wherein: $B_1\left(n\right)=1+k_1\frac{n}{n_d}+k_2{\left(\frac{n}{n_d}\right)}^2+k_3{\left(\frac{n}{n_d}\right)}^3$

$B_2(T_{c1},P_{c1})=\frac{P_{c1}}{P_{\mathrm{dc}1}}\sqrt{\frac{T_{\mathrm{dc}1}}{T_{c1}}}$

$B_3\left(P_4\right)=\frac{P_{d4}}{P_4}$

$B_4\left(\mathrm{\θ}\right)=\frac{\sin (\mathrm{\θ}-{\mathrm{\θ}}_q)}{\sin ({\mathrm{\θ}}_d-{\mathrm{\θ}}_q)}$

In formula, n is rotating speed, T _c1for atmospheric temperature, P _c1for atmospheric pressure, P ₄for exhaust pressure, θ is adjustable guide vane IGV angle, n _dfor rated speed, k ₁, k ₂and k ₃for rotating speed is to the influence coefficient of flow, T _dc1and P _dc1for atmospheric temperature under design conditions and pressure, P _d4for combustion engine exhaust pressure under design conditions, θ _dfor the design angle of adjustable guide vane, θ _qfor the air-flow deflection angle of adjustable guide vane.

In real process, the compression process in gas compressor can not the carrying out of constant entropy, but lossy, needs the gap weighing real process and desirable isentropic process by the efficiency of gas compressor.After considering, compressor efficiency η _ccan obtain by following formula is approximate:

${\mathrm{\η}}_c=q[1-0.4{(1-\frac{n}{n_d})}^2](2-q^2)---\left(7\right)$

Wherein q=nG _dc1/ (n _dg _c1), in formula, n is rotating speed, n _dfor rated speed, G _dc1for gas compressor nominal air flow, G _c1for actual air flow.

According to thermomechanics theorem, in the adiabatic compression process of gas compressor every grade submodule, its outlet temperature can be calculated by following formula:

$T_{\mathrm{out}}=T_{\mathrm{in}}[1+\frac{1}{{\mathrm{\η}}_c}({\mathrm{\π}}_c^{(k-1)/k}-1)]---\left(8\right)$

In formula: k is ratio of specific heat; π _cfor the pressure ratio of this submodule; η _cfor gas compressor isentropic efficiency; T _in, T _outbe respectively import and the outlet temperature of this submodule.

According to quality and principle of conservation of energy, the power of gas compressor every grade submodule consumption can be calculated by following formula:

P _c＝g(h _out-h _in) (9)

In formula: P _cfor the wasted work of every grade of submodule; G is corresponding air mass flow; h _in, h _outbe respectively the air enthalpy of this submodule import and outlet.H _in, h _outcan be calculated by enthalpy module.

Pressure ratio π _cbe the ratio of blower outlet and inlet pressure, represent working medium by the degree compressed, it is the important parameter determining Capability of Compressor.In modeling, the outlet of gas compressor module is connected with volume module, thus can obtain compressor delivery pressure.Known compressor intake pressure simultaneously, and then just can calculate pressure ratio π _c.

For the venting (venting opened by anti-asthma bleed valve) between compressor stage and bleed (going the cooling air of cooling turbine), by calculating the node pressure between venting and bleed front and back stages, the upstream pressure of node takes from previous stage exhaust pressure, and downstream pressure is respectively the pressure at the turbine place that rear stage suction pressure, environment atmospheric pressure and this grade of bleed cool; According to this node upstream pressure and downstream pressure, calculate the switch of anti-asthma bleed valve and bleed and go the cooling air of turbine to the change of each stage pressure in front and back and flow, reflect that inter-stage venting and bleed are on the impact of Capability of Compressor.Consider the error that computation model and real process exist, introduce flow modificatory coefficient y _*(* represents corresponding compressor bleed air and bleed) is to exit accordingly and bleed flow is revised.Below, cooling turbine (first is removed the bleed of cooling turbine point) is gone to be described for bleed air: the pressure of known bleed air point and temperature then can obtain bleed air flow is:

$G_1^{\mathrm{coo}1}=y_1\frac{P_1^{\mathrm{coo}1}}{\sqrt{T_1^{\mathrm{coo}1}}}\sqrt{1-\frac{P_{t1}^{\mathrm{coo}1}}{P_1^{\mathrm{coo}1}}}---\left(10\right)$

In formula: for the pressure at the turbine place that this bleed cools, y ₁for flow modificatory coefficient.

S2, gather the input data of gas compressor within certain period and export data, described input data and export data and refer to that gas compressor imports and exports the flow of air, pressure, temperature, humidity and each gas composition composition, and compressor bleed air threshold switch signal, IGV (adjustable guide vane) angle etc.

This step gathers input and output data and the relevant operating parameter of the gas compressor of actual field, comprising: input data: the flow G entering compressor air _c1, temperature T _c1, pressure P _c1, each gas componant mass fraction; Export data: blower outlet gas flow G _c2, temperature T _c2, pressure P _c2; Input data also comprise gas compressor running parameter: the pressure at compressor bleed air threshold switch signal V, adjustable guide vane IGV angle θ and cooling turbine place of bleed air institute turbine exhaust flow G _t4deng.Utilize the flow at actual production scene, temperature, pressure transducer, gather the data such as flow, temperature, pressure in a period of time, data in a period of time collected and running parameter are transferred to far-end computer, by communication interface by gather data and parameters input in model, as the calculating of model parameter value.

S3, according to gathered input data and export data, the value of the model parameter of phantom.

According to gathered input data and output data, comprise entrance pressure mechanism of qi and the gas flow, pressure, temperature, humidity etc. that go out gas compressor, model parameter is calculated (or claiming identification).Below, with parameter k ₁, k ₂, k ₃and y _*identification process is that example is described.

1) parameter y _*calculating

By the inputoutput data gathered in actual field process, and incorporation engineering design load, the flow that bleed air under design conditions removes cooling turbine can be obtained bleed point pressure and temperature and the pressure at turbine place that this bleed cools then according to bleed air flow equation, computation model parameter y _*, namely inferred by data regression method such as method of least squares etc.:

$y_{*}=\frac{1}{G_{*}^{\mathrm{coo}1}}\frac{P_{*}^{\mathrm{coo}1}}{\sqrt{T_{*}^{\mathrm{cool}}}}\sqrt{1-\frac{P_{t*}^{\mathrm{cool}}}{P_{*}^{\mathrm{cool}}}}---\left(11\right)$

2) parameter k ₁, k ₂and k ₃calculating

For k ₁, k ₂and k ₃, provide two kinds of method for solving, can select as the case may be.

First method is the characteristic curve of combustion engine power and flow under the different atmospheric temperature and IGV utilizing gas turbine manufacturer to provide, at supposition rotating speed n, atmospheric pressure P _c1, exhaust pressure P ₄under being definite value situation with IGV angle θ, obtain three different atmospheric temperature T _c1lower corresponding air mass flow G _c1; And then bring these numerical value into following equation:

$C_{c1}=G_d(1+k_1\frac{n}{n_d}+k_2{\left(\frac{n}{n_d}\right)}^2+k_3{\left(\frac{n}{n_d}\right)}^3)\frac{P_{c1}}{P_{\mathrm{dc}1}}\sqrt{\frac{T_{\mathrm{dc}1}}{T_{c1}}}\frac{P_{d4}}{P_4}\frac{\sin (\mathrm{\θ}-{\mathrm{\θ}}_q)}{\sin ({\mathrm{\θ}}_d-{\mathrm{\θ}}_q)}---\left(12\right)$

Obtain three equations, further Simultaneous Equations solves and obtains k ₁, k ₂and k ₃.

Second method is the inputoutput data gathered according to actual field, choose actual or multipoint data at 3 and be brought into formula (12), and then Simultaneous Equations solves k ₁, k ₂and k ₃.In addition, also can be estimated according to special parameter empirical value, such as first given k ₁value, then according to reality two point data calculate k ₂and k ₃.

S4, the real time input data gathering gas compressor and real time output data, export the difference between data and real time output data by simulation model calculating simulation, when this difference is not in margin of error, return step S2, otherwise continue next step.

According to real time input data and real time output data, calculate actual output F ₁₄f ' is exported with model ₁₄between error.The real time input data collected is input in model, obtains model and export F ' ₁₄, calculate actual output F ₁₄f ' is exported with model ₁₄between error.Error is defined as

e＝|F ₁₄-F′ ₁₄|

Judge whether this error meets given margin of error.If error can not meet given range, then turn back to step S2, repeat step S2, S3 and S4, continue to calculate and adjustment model parameter, until described error meets given margin of error.

S5, according to real time input data, utilize simulation model to calculate the working status parameter of gas compressor within a period of time that current time rises, monitor and regulate the working state of gas compressor accordingly.

When the model parameter calculating gas compressor, the model of gas compressor is set up, and this model accurately can simulate the instantaneous operating conditions of gas compressor, thus, can to monitor in real time and the adjustment of working state according to this model to the gas compressor of reality.Such as, when this model calculates according to the data of input in real time the working state that this moment plays gas compressor in 10 minutes, the abnormal conditions that may occur are made a prediction, thus the input data of the gas compressor of reality is revised, play the effect optimizing gas compressor working state.

The above is only the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the prerequisite not departing from the technology of the present invention principle; can also make some improvement and modification, these improve and modification also should be considered as protection scope of the present invention.

Claims (7)

1. a gas compressor controlling method, is characterized in that: it comprises the following steps:

S1, set up the gas compressor simulation model corresponding to gas compressor, described gas compressor simulation model comprises some model parameters;

S2, gather gas compressor input data within a certain period of time and export data;

S3, the input data gathered according to step S2 and export data, calculate the value of the model parameter of described gas compressor simulation model;

S4, the real time input data gathering gas compressor and real time output data, export data by described gas compressor simulation model calculating simulation, and calculating simulation exports the difference between data and real time output data, when this difference is not in margin of error, return step S2, otherwise continue next step;

S5, utilize gas compressor simulation model to calculate the operating state data of gas compressor within a period of time that current time rises, monitor and regulate the actual working state of gas compressor accordingly.

2. gas compressor controlling method according to claim 1, is characterized in that: the working medium of described gas compressor is air, adopts the mode of Modularization modeling to set up gas compressor simulation model.

3. gas compressor controlling method according to claim 2, is characterized in that: described gas compressor simulation model comprises working medium physical parameter computation model, gas compressor volumetric model and compressor characteristics model.

4. gas compressor controlling method according to claim 3, it is characterized in that: the method that compressor characteristics model is set up is: obtain compressor performance characteristic curve data, and be compiled into number table, then the gas compressor parameter under adopting interpolation to obtain institute's design condition, sets up compressor characteristics model according to gas compressor parameter.

5. gas compressor controlling method according to claim 3, is characterized in that: the method that compressor characteristics model is set up is: according to the measured data under the different operating mode in scene, obtains gas compressor parameter carry out compressor characteristics modeling according to statistical law.

6. gas compressor controlling method according to claim 2, is characterized in that: in step S2, and described input data comprise mass fraction and the gas compressor running parameter of each gas componant in the flow of entrance pressure mechanism of qi air, temperature, pressure, air;

Described output data comprise blower outlet gas flow, temperature and pressure.

7. gas compressor controlling method according to claim 6, is characterized in that: described gas compressor running parameter comprises the switching signal of gas compressor anti-asthma bleed valve and the angle of gas compressor adjustable guide vane.