CN101949652A - Hot air temperature and sintering trough point temperature coordinated control method based on satisfactory optimization - Google Patents

Abstract

The invention discloses a hot air temperature and sintering trough point temperature coordinated control method based on satisfactory optimization, comprising the following steps of, firstly, establishing a hot air temperature feedforward-feedback controller and a sintering trough point temperature feedforward-feedback controller, obtaining a hot air temperature operation parameter interval Vbla through the hot air temperature feedforward-feedback controller, and obtaining a sintering trough point temperature operation parameter interval Vbtp through the sintering trough point temperature feedforward-feedback controller; secondly, taking the Vbla and the Vbtp as an input and taking a parameter comprehensive satisfactory optimal solution interval Vbest as an output to establish a comprehensive satisfaction model; thirdly, solving the Vbest; fourthly, sending a middle value Vbestmid of the Vbest to a sintering process to realize intelligent coordinated control of hot air temperature and sintering trough point temperature. By adopting the control technology, the invention can efficiently stabilize the sintering process, enhance the control accuracy of a sintering state and lower the production cost.

Description

Hot blast temperature and sintering end point temperature control method for coordinating based on satisfactory optimization

Technical field

The invention belongs to iron ore sintering process control field, be specifically related to a kind of hot blast temperature and sintering end point temperature control method for coordinating based on satisfactory optimization.

Technical background

Steel and iron industry is the basic industry of Chinese national economy, and sintering process is one indispensable operation in the smelting iron and steel, and hot gas sintering is a kind of important SINTERING PRODUCTION mode.

By sintering process as can be known, the key factor that reaches the hot gas sintering effect is that hot blast temperature is stabilized in optimum value, and this value can be tried to achieve by the hot blast temperature optimizing control models.Simultaneously, sintering end point position and sintering end point temperature and sinter quality output and energy resource consumption have substantial connection, and it is optimized setting value and can be tried to achieve by sintering end point temperature intelligent control model.

Yet, interrelated between hot blast temperature and the sintering end point temperature, influence each other in hot gas sintering technology, be difficult to reach comprehensive optimum.If hot blast temperature raises, then flue-gas temperature and sintering end point temperature must raise, from and cause hot blast temperature further to raise; If the sintering end point temperature raises, flue-gas temperature and hot blast temperature must increase, from and cause the sintering end point temperature further to raise; Vice versa.

Therefore, need be at the circular dependency between hot blast temperature and the sintering end point temperature, hot blast temperature and sintering end point temperature are carried out intelligent coordinated control, to improve the control accuracy of sintering process sintering state, the stable sintering process improves sintering process heat energy utilization rate and iron and steel production energy-saving and emission-reduction level.

Summary of the invention

The objective of the invention is to propose a kind of hot blast temperature and sintering end point temperature control method for coordinating based on satisfactory optimization, the control accuracy that should be used to improve the sintering process sintering state based on the hot blast temperature and the sintering end point temperature control method for coordinating of satisfactory optimization, the stable sintering process improves sintering process heat energy utilization rate and iron and steel production energy-saving and emission-reduction level.

Technical solution of the present invention is as follows:

A kind of hot blast temperature and sintering end point temperature control method for coordinating based on satisfactory optimization may further comprise the steps: step 1: structure hot blast temperature feed-forward and feedback controller and sintering end point temperature feed-forward-feedback controller;

Wherein, the hot blast temperature that is given as of hot blast temperature feed-forward and feedback controller sets value, the feedback signal of hot blast temperature feed-forward and feedback controller is the hot blast temperature detected value in the sintering process, and hot blast temperature feed-forward and feedback controller is output as the interval V of hot blast temperature operating parameter _BlaBe [V _Blamin, V _Blamax];

Sintering end point temperature feed-forward-feedback controller be given as the sintering end point desired temperature, the feedback signal of sintering end point temperature feed-forward-feedback controller is the sintering end point temperature detection value in the sintering process; Sintering end point temperature feed-forward-feedback controller is output as V between sintering end point temperature operation parameter region _BtpBe [V _Btpmin, V _Btpmax];

Wherein, operating parameter V=[v ₁, v ₂, v ₃]=[FD, U, IGN], ratio, the U ∈ [0,4.0] of FD ∈ [0,1] expression fresh air air quantity and exhausting air quantity represent that chassis speed, IGN ∈ [1100,1300] represent firing temperature;

Step 2: set up the comprehensive satisfaction model, with V _BlaAnd V _BtpBe input, with the interval V of the satisfied optimal solution of parametric synthesis _BestBe output, from the interval V of the satisfied optimal solution of parametric synthesis _BestChoose a value and be issued to sintering process, to realize coordinating control based on the hot blast temperature and the sintering end point temperature of satisfactory optimization.

The interval V of hot blast temperature operating parameter in the step 1 _BlaThe interval v of FEEDFORWARD CONTROL _Ibla0And V between sintering end point temperature operation parameter region _BtpThe interval v of FEEDFORWARD CONTROL _Ibtp0Characterize by following formula:

v _ibla0＝k _iblagT _blas+C _ibla＝[k _iblaga+C _ibla，k _iblagb+C _ibla]

v _ibtp0＝k _ibtpgT _btps+C _ibtp＝[k _ibtpgc+C _ibtp，k _ibtpgd+C _ibtp]

T wherein _BlaAnd T _BtpRepresent hot blast temperature and sintering end point temperature respectively, T _Blas∈ [a, b], T _Btps∈ [c, d], a, b, c, d is setting value, establishes a=200, b=300, c=350, d=440.K _IblaBe operating parameter v _iThe hot blast temperature proportionality coefficient, C _IblaBe operating parameter v _iThe hot blast temperature constant, K _IbtpBe operating parameter v _iSintering end point temperature proportionality coefficient, C _IblaBe operating parameter v _iThe sintering end point thermal constant.According to actual data analysis, get K _1bla=0.0023, K _2bla=0.014, K _3bla=5.64, K _1btp=0.0012, K _2btp=0.057, K _3btp=2.78, C _1bla=0.13, C _2bla=0.83, C _3bla=67.3, C _1btp=0.093, C _2btp=0.46, C _3btp=86.4.

Operating parameter v then _iHot blast temperature and sintering end point temperature FEEDBACK CONTROL amount be respectively:

Δv _ibla＝k _iblagΔT _bla

Δv _ibtp＝k _ibtpgΔT _btp

v _iRepresent i operating parameter, i=1,2,3; Wherein,

${\mathrm{\&Delta;T}}_{\mathrm{bla}}=\left\{\begin{array}{cc}a-t_{\mathrm{blam}}& t_{\mathrm{blam}}<a\\ 0& a<t_{\mathrm{blam}}<b\\ b-t_{\mathrm{blam}}& t_{\mathrm{blam}}>b\end{array}\right.$

${\mathrm{\&Delta;T}}_{\mathrm{btp}}=\left\{\begin{array}{cc}c-t_{\mathrm{btpm}}& t_{\mathrm{btpm}}<c\\ 0& c<t_{\mathrm{btpm}}<d\\ d-t_{\mathrm{btpm}}& t_{\mathrm{btpm}}>d\end{array}\right.$

Wherein, t _Blam, t _BtpmBe respectively T _BlaAnd T _BtpDetected value;

Operating parameter v then _iHot blast temperature and sintering end point temperature feed-forward-FEEDBACK CONTROL amount interval be: $\begin{array}{c}{v}_{\mathrm{ibla}}=v_{\mathrm{ibla}0}+{\mathrm{\&Delta;v}}_{\mathrm{ibla}}\\ v_{\mathrm{ibtp}}=v_{\mathrm{ibtp}0}+{\mathrm{\&Delta;v}}_{\mathrm{ibtp}}\end{array}.$

The concrete steps of setting up the comprehensive satisfaction model are as follows:

v _iHot blast temperature satisfaction function be:

$S_{\mathrm{ibla}}=\left\{\begin{array}{cc}0& v_i\&le;v_{i\min }\\ \frac{v_i-v_{i\min }}{v_{\mathrm{ibla}\min }-v_{i\min }}& v_{i\min }<v_i<v_{\mathrm{ibla}\min }\\ 1& v_{\mathrm{ibla}\min }\&le;v_i\&le;v_{\mathrm{ibla}\max }\\ \frac{v_{i\max }-v_i}{v_{i\max }-v_{\mathrm{ibla}\max }}& v_{\mathrm{ibla}\max }<v_i<v_{i\max }\\ 0& v_i\&GreaterEqual;v_{i\max }\end{array}\right.$

Wherein, v _IminAnd v _ImaxRepresent v under the ordinary production respectively _iThe minimum of a value and the maximum that allow, [v _Iblamin, v _Iblamax] expression operating parameter v _iHot blast temperature satisfactory solution interval;

Operating parameter v _iSintering end point temperature satisfaction function be:

$S_{\mathrm{ibtp}}=\left\{\begin{array}{cc}0& v_i\&le;v_{i\min }\\ \frac{v_i-v_{i\min }}{v_{\mathrm{ibtp}\min }-v_{i\min }}& v_{i\min }<v_i<v_{\mathrm{ibtp}\min }\\ 1& v_{\mathrm{ibtp}\min }\&le;v_i{\&le;v}_{\mathrm{ibtp}\max }\\ \frac{v_{i\max }-v_i}{v_{i\max }-v_{\mathrm{ibtp}\max }}& v_{\mathrm{ibtp}\max }<v_i<v_{i\max }\\ 0& v_i\&GreaterEqual;v_{i\max }\end{array}\right.$

Wherein, v _IminAnd v _ImaxRepresent v under the ordinary production respectively _iThe minimum of a value and the maximum that allow, [v _Ibtpmin, v _Ibtpmax] expression operating parameter v _iSintering end point temperature satisfactory solution interval;

Adopt linear weight sum method, set up hot blast temperature and sintering end point temperature operating parameter v _iThe comprehensive satisfaction model be:

S _i＝γS _ibla+(1-γ)S _ibtp；

Wherein, the computing formula of γ is:

$\mathrm{\&gamma;}=1-\frac{|t_{\mathrm{btpm}}-T_{\mathrm{btpmid}}|}{T_{\mathrm{btpmid}}};$

$T_{\mathrm{btpmid}}=\frac{c+d}{2}$

Wherein, t _BtpmBe T _BtpDetected value, T _Btps∈ [c, d], c, d is setting value, establishes c=350, d=440;

Because hot blast temperature satisfaction function and sintering end point satisfaction function are trapezoidal function, therefore make the comprehensive satisfaction function S _iReach peaked operating parameter v _IbestBe an interval (for example situation 1), this interval is operating parameter v _iThe output of comprehensive satisfaction model, the interval V of the comprehensively satisfied optimal solution of operating parameter _BestCorresponding 3 subinterval v _1best, V _2best, v _3best

Finding the solution of comprehensive satisfaction model is divided into following six kinds of situations:

Situation 1: as operating parameter v _iThe interval v of hot blast temperature satisfactory solution _IblaAt the interval v of sintering end point temperature satisfactory solution _IbtpWhen interior, operating parameter v _iThe interval v of comprehensive satisfied optimal solution _IbestBe [v _Iblamin, v _Iblamax];

Situation 2: as operating parameter v _iSintering end point temperature v _IbtpThe satisfactory solution interval at the interval v of the satisfactory solution of hot blast temperature _IblaWhen interior, operating parameter v _iThe interval v of comprehensive satisfied optimal solution _IbestBe [v _Ibtpmin, v _Ibtpmax];

Situation 3: as operating parameter v _iThe interval v of hot blast temperature satisfactory solution _IblaWith the interval v of sintering end point temperature satisfactory solution _IbtpCommon factor is arranged, and at the interval v of sintering end point temperature satisfactory solution _IbtpThe left side time, operating parameter v _iThe interval v of comprehensive satisfied optimal solution _IbestBe [v _Ibtpmin, v _Iblamax];

Situation 4: as operating parameter v _iThe interval v of hot blast temperature satisfactory solution _IblaWith the interval v of sintering end point temperature satisfactory solution _IbtpCommon factor is arranged, and at the interval v of sintering end point temperature satisfactory solution _IbtpThe right side time, operating parameter v _iThe interval v of comprehensive satisfied optimal solution _IbestBe [v _Iblamin, v _Ibtpmax];

Situation 5: as operating parameter v _iThe interval v of hot blast temperature satisfactory solution _IblaWith the interval v of sintering end point temperature satisfactory solution _IbtpDo not have and occur simultaneously, and at the interval v of sintering end point temperature satisfactory solution _IbtpThe left side time, have

$S_i=\left\{\begin{array}{cc}0& v_i\&le;v_{i\min }\\ \mathrm{\&gamma;}\frac{v_i-v_{i\min }}{v_{\mathrm{ibla}\min }-v_{i\min }}+(1-\mathrm{\&gamma;})\frac{v_i-v_{i\min }}{v_{\mathrm{ibtp}\min }-v_{i\min }}& v_{i\min }<v_i\&le;v_{\mathrm{ibla}\min }\\ \mathrm{\&gamma;}+(1-\mathrm{\&gamma;})\frac{v_i-v_{i\min }}{v_{\mathrm{ibtp}\min }-v_{i\min }}& v_{\mathrm{ibla}\min }<v_i\&le;v_{\mathrm{ibla}\max }\\ \mathrm{\&gamma;}\frac{v_{i\max }-v_i}{v_{i\max }-v_{\mathrm{ibla}\max }}+(1-\mathrm{\&gamma;})\frac{v_i-v_{i\min }}{v_{\mathrm{ibtp}\min }-v_{i\min }}& v_{\mathrm{ibla}\max }<v_i\&le;v_{\mathrm{ibtp}\min }\\ \mathrm{\&gamma;}\frac{v_{i\max }-v_i}{v_{i\max }-v_{\mathrm{ibla}\max }}+(1-\mathrm{\&gamma;})& v_{\mathrm{ibtp}\min }<v_i\&le;v_{\mathrm{ibtp}\max }\\ \mathrm{\&gamma;}\frac{v_{i\max }-v_i}{v_{i\max }-v_{\mathrm{ibla}\max }}+(1-\mathrm{\&gamma;})\frac{v_{i\max }-v_i}{v_{i\max }-v_{\mathrm{ibtp}\max }}& v_{\mathrm{ibtp}\max }<v_i\&le;v_{i\max }\\ 0& v_i>v_{i\max }\end{array}\right.$

Find the solution by this formula and to make the comprehensive satisfaction function S _iReach the interval v of peaked operating parameter _Ibest, also be operating parameter v _iThe output of comprehensive satisfaction model;

Situation 6: as operating parameter v _iThe interval v of hot blast temperature satisfactory solution _IblaWith the interval v of sintering end point temperature satisfactory solution _IbtpDo not have and occur simultaneously, and at the interval v of sintering end point temperature satisfactory solution _IbtpThe right side time, have

$S_i=\left\{\begin{array}{cc}0& v_i\&le;v_{i\min }\\ \mathrm{\&gamma;}\frac{v_i-v_{i\min }}{v_{\mathrm{ibla}\min }-v_{i\min }}+(1-\mathrm{\&gamma;})\frac{v_i-v_{i\min }}{v_{\mathrm{ibtp}\min }-v_{i\min }}& v_{i\min }<v_i\&le;v_{\mathrm{ibla}\min }\\ \mathrm{\&gamma;}\frac{v_i-v_{i\min }}{v_{\mathrm{ibtp}\min }-v_{i\min }}+(1-\mathrm{\&gamma;})& v_{\mathrm{ibla}\min }<v_i\&le;v_{\mathrm{ibla}\max }\\ \mathrm{\&gamma;}\frac{v_i-v_{i\max }}{v_{\mathrm{ibla}\max }-v_{i\min }}+(1-\mathrm{\&gamma;})\frac{v_{i\min }-v_i}{v_{i\max }-v_{\mathrm{ibtp}\min }}& v_{\mathrm{ibla}\max }<v_i\&le;v_{\mathrm{ibtp}\min }\\ \mathrm{\&gamma;}+(1-\mathrm{\&gamma;})\frac{v_{i\max }-v_i}{v_{i\max }-v_{\mathrm{ibla}\max }}& v_{\mathrm{ibtp}\min }<v_i\&le;v_{\mathrm{ibtp}\max }\\ \mathrm{\&gamma;}\frac{v_{i\max }-v_i}{v_{i\max }-v_{\mathrm{ibla}\max }}+(1-\mathrm{\&gamma;})\frac{v_{i\max }-v_i}{v_{i\max }-v_{\mathrm{ibtp}\max }}& v_{\mathrm{ibtp}\max }<v_i\&le;v_{i\max }\\ 0& v_i>v_{i\max }\end{array}\right.$

Find the solution by this formula and to make the comprehensive satisfaction function S _iReach the maximum interval v of operating parameter _Ibest, also be operating parameter v _iThe output of comprehensive satisfaction model;

Select V _BestMedian V _Bestmid, with V _BestmidBe issued to sintering process, regulate the sintering machine operation, to realize coordinating control based on the hot blast temperature and the sintering end point temperature of satisfactory optimization.

Technical conceive of the present invention is:

Relation between each element of operating parameter V and hot blast temperature and the sintering end point temperature is carried out Analysis on Mechanism, and each element of operating parameter V is carried out grey correlation analysis.On this basis, set up hot blast temperature and feedover-return controller and sintering end point temperature feed-forward-feedback controller.

Obtain the interval V of hot blast temperature operating parameter by hot blast temperature feed-forward and feedback controller _Bla∈ [V _Blamin, V _Blamax], and obtain V between sintering end point temperature operation parameter region by sintering end point temperature feed-forward-feedback controller _Btp∈ [V _Btpmin, V _Btpmax].

Wherein, operating parameter V=[v ₁, v ₂, v ₃]=[FD, U, IGN], ratio, the U ∈ [0,4.0] of FD ∈ [0,1] expression fresh air air quantity and exhausting air quantity represent that chassis speed, IGN ∈ [1100,1300] represent firing temperature.

For overcoming the circular dependency between hot blast temperature and the sintering end point temperature, make both reach comprehensive optimum, with V _BlaAnd V _BtpBe input, with the interval V of the satisfied optimal solution of parametric synthesis _BestFor output, set up the comprehensive satisfaction model.

Divide six kinds of situations to find the solution the comprehensive satisfaction model, try to achieve V _Best

For guaranteeing the allowance up and down of operating parameter, select V _BestMedian V _Bestmid, with V _BestmidBe issued to sintering process, regulate exhausting air quantity, chassis speed and the firing temperature of sintering machine, realize the intelligent coordinated control of hot blast temperature and sintering end point temperature.

Beneficial effect:

Because the circular dependency between hot blast temperature and the sintering end point temperature, at present single sintering end point Position Control and hot blast temperature control not only are difficult to reach comprehensive optimum, and form vicious circle easily, and sintering process is caused bigger fluctuation.

Intelligent coordination control method of the present invention, according to hot blast temperature and sintering end point temperature single satisfaction model to each control variables, be single optimization performance indications, set up hot blast temperature and sintering end point temperature comprehensive satisfaction model, obtained the complex optimum performance indications each control variables.Based on the comprehensive satisfaction model, divide six kinds of situations to find the solution the comprehensive satisfaction model, try to achieve V _Best, and according to V _BestThe operation of adjusting chassis.Thus, can realize intelligent coordinated control, overcome in the sintering process problem that has circular dependency between the hot blast temperature and sintering end point temperature, is difficult to reach comprehensive optimum hot blast temperature and sintering end point temperature.Simultaneously, the present invention makes the fluctuation of hot blast temperature reduce 3.1%, and the fluctuation of sintering end point temperature has reduced 2.8%, has guaranteed the stable operation of sintering process; For the control of the hot state of sintering provides stable environment, effectively improved the control accuracy of the hot state of sintering process, make the sintering end point Position Control between 22.5-23.5, Deviation Control is within ± 0.5 bellows.In addition, reduced the consumption of coke powder, provide effective way for improving sintering process heat energy utilization rate and iron and steel production energy-saving and emission-reduction level.

Description of drawings

Fig. 1 coordinates the control structure block diagram based on the hot blast temperature of satisfactory optimization and sintering end point temperature intelligent;

Fig. 2 coordinates control flow chart based on the hot blast temperature of satisfactory optimization and sintering end point temperature intelligent;

Fig. 3 is a hot blast temperature satisfaction function;

Fig. 4 is a sintering end point temperature satisfaction function;

Fig. 5 is that the satisfactory solution interval of hot blast temperature is in the satisfactory solution interval of sintering end point temperature;

Fig. 6 is that the satisfactory solution interval of sintering end point temperature is in the satisfactory solution interval of hot blast temperature;

Fig. 7 has common factor (left side) for the interval satisfactory solution interval with the sintering end point temperature of the satisfactory solution of hot blast temperature;

Fig. 8 has common factor (right side) for the interval satisfactory solution interval with the sintering end point temperature of the satisfactory solution of hot blast temperature;

Fig. 9 is that the interval satisfactory solution interval with the sintering end point temperature of the satisfactory solution of hot blast temperature does not have occur simultaneously (left side);

Figure 10 is that the interval satisfactory solution interval with the sintering end point temperature of the satisfactory solution of hot blast temperature does not have occur simultaneously (right side).

The specific embodiment

Below with reference to figure and specific implementation process the present invention is described in further details.

Embodiment 1:

Owing to exist circular dependency between hot blast temperature and the sintering end point temperature, at present single control of sintering end point temperature and hot blast temperature control can not be satisfied the needs that improve the heat integration rate.

With reference to Fig. 1, be the structured flowchart of satisfactory optimization coordination control technology of the present invention, described technology specifically comprises: introduce grey correlation analysis, set up hot blast temperature feed-forward and feedback controller and sintering end point temperature feed-forward-feedback controller.Obtain the interval V of hot blast temperature operating parameter according to hot blast temperature feed-forward and feedback controller _BlaBe [V _Blamin, V _Blamax], obtain V between sintering end point temperature operation parameter region by sintering end point temperature feed-forward-feedback controller _BtpBe [V _Btpmin, V _Btpmax].On this basis, introduce the satisfactory optimization technology, set up the comprehensive satisfaction model, divide six kinds of situations to find the solution the comprehensive satisfaction model, try to achieve V _BestFor guaranteeing the allowance up and down of operating parameter, select V _BestMedian V _Bestmid, with V _BestmidBe issued to sintering process, regulate the sintering machine operation, realize the intelligent coordinated control of hot blast temperature and sintering end point temperature.

With reference to Fig. 2, be the flow chart of satisfactory optimization coordination control technology of the present invention, described method specifically may further comprise the steps:

Step S01: the Analysis on Mechanism between each element of operating parameter V and hot blast temperature and the sintering end point temperature.

Because the ratio of oxygen is substantially invariable in the fresh air, so when the ratio FD of fresh air air quantity and exhausting air quantity increases, the also corresponding increase of the ratio of amount of oxygen and exhausting air quantity.And the thermal discharge of sintering deposit burning is directly proportional with the amount of oxygen, and therefore under the constant situation of other conditions, hot blast temperature and sintering end point temperature and FD are that linear positive concerns.

When chassis speed U increased, sintering end point was delayed, and the average burning time of sintering deposit reduces, the also corresponding minimizing of thermal discharge.Therefore under the constant situation of other conditions, hot blast temperature and sintering end point temperature and U are approximately negative linear relationship.

When firing temperature IGN increases, the also corresponding increase of the temperature of sintering deposit.Therefore under the constant situation of other condition, hot blast temperature and sintering end point temperature and IGN are approximately linear positive and concern.

Step S02: the grey relational grade analysis between each element of operating parameter V.

With the correlation between each element of Grey Incidence Analysis analysis operation V parameter, to determine the type of satisfaction model.The system action sequence of native system is:

v ₁＝(v ₁(1)，v ₁(2)，L，v ₁(n))

v ₂＝(v ₂(1)，v ₂(2)，L，v ₂(n))

v ₃＝(v ₃(1)，v ₃(2)，L，v ₃(n))

Wherein k is the time sequence number, v _i(k) be operating parameter v _iIn k observed data constantly, existing with operating parameter v _i(i=1,2,3) ask the degree of association for the system features sequence.

The first step, ask the initial value picture of system:

v ₁′＝v ₁/v ₁(1)＝(v ₁′(1)，v ₁′(2)，L，v ₁′(n))

v ₂′＝v ₂/v ₂(1)＝(v ₂′(1)，v ₂′(2)，L，v ₂′(n))

v ₃′＝v ₃/v ₃(1)＝(v ₃′(1)，v ₃′(2)，L，v ₃′(n))

In second step, ask difference sequence

Δ ₁(k)＝|v _i′(k)-v ₁′(k)|

Δ ₂(k)＝|v _i′(k)-v ₂′(k)|

Δ ₃(k)＝|v _i′(k)-v ₃′(k)|

In the 3rd step, ask two extreme differences

$M=\underset{j}{\max }\underset{k}{\max }{\mathrm{\&Delta;}}_j\left(k\right)$

$m=\underset{j}{\min }\underset{k}{\min }{\mathrm{\&Delta;}}_j\left(k\right)$

j＝1，2，3

In the 4th step, ask operating parameter v _jTo operating parameter v _iIncidence coefficient:

$r_{\mathrm{ij}}\left(k\right)=\frac{m+\mathrm{\&xi;M}}{{\mathrm{\&Delta;}}_j\left(k\right)+\mathrm{\&xi;M}}$

k＝1，2，L，n；i＝1，2，3

Wherein, ξ is the grey number on [0,1] interval, is taken as 0.5 at this.

In the 5th step, ask operating parameter v _jTo operating parameter v _iThe degree of association:

${\mathrm{\&gamma;}}_{\mathrm{ij}}=\frac{1}{n}\underset{k=1}{\overset{n}{\mathrm{\&Sigma;}}}{r}_{\mathrm{ij}}\left(k\right)$

Step S03: set up hot blast temperature feed-forward and feedback controller and sintering end point temperature feed-forward-feedback controller.

Learn between each element of operating parameter V and hot blast temperature and the sintering end point temperature by the sintering theory Analysis on Mechanism and to be tangible linear dependence.Simultaneously, learn that by grey correlation analysis correlation between each element of operating parameter V is all less than 0.01.Think separate between each operating parameter, be independent of each other.Therefore have:

v _ibla＝k _iblagT _bla+C _ibla

v _ibtp＝k _ibtpgT _btp+C _ibtp

T wherein _BlaAnd T _BtpRepresent hot blast temperature and sintering end point temperature respectively,

At first, with T _BlaAnd T _BtpSetting value for the input, be output with the operating parameter, set up feedforward controller.Operating parameter v then _iHot blast temperature and sintering end point temperature feed-forward controlled quentity controlled variable interval be respectively:

v _ibla0＝k _iblagT _blas+C _ibla＝[k _iblaga+C _ibla，k _iblagb+C _ibla]

v _ibtp0＝k _ibtpgT _btps+C _ibtp＝[k _ibtpgc+C _ibtp，k _ibtpgd+C _ibtp]

Wherein, T _Blas=[a, b], T _Btps=[c, d] represents T respectively _BlaAnd T _BtpSetting value, establish a=200, b=300, c=350, d=440.K _IblaBe operating parameter v _iThe hot blast temperature proportionality coefficient, C _IblaBe operating parameter v _iThe hot blast temperature constant, K _IbtpBe operating parameter v _iSintering end point temperature proportionality coefficient, C _IblaBe operating parameter v _iThe sintering end point thermal constant.According to actual data analysis, get K _1bla=0.0023, K _2bla=0.014, K _3bla=5.64, K _1btp=0.0012, K _2btp=0.057, K _3btp=2.78, C _1bla=0.13, C _2bla=0.83, C _3bla=67.3, C _1btp=0.093, C _2btp=0.46, C _3btp=86.4.

Then, according to T _BlaAnd T _BtpDetected value and the error of setting value, set up feedback controller, then operating parameter v _iHot blast temperature and sintering end point temperature FEEDBACK CONTROL amount be respectively:

Δv _ibla＝k _iblagΔT _bla

Δv _ibtp＝k _ibtpgΔT _btp

Wherein,

${\mathrm{\&Delta;T}}_{\mathrm{bla}}=\left\{\begin{array}{cc}a-t_{\mathrm{blam}}& t_{\mathrm{blam}}<a\\ 0& a<t_{\mathrm{blam}}<b\\ b-t_{\mathrm{blam}}& t_{\mathrm{blam}}>b\end{array}\right.$

${\mathrm{\&Delta;T}}_{\mathrm{btp}}=\left\{\begin{array}{cc}c-t_{\mathrm{btpm}}& t_{\mathrm{btpm}}<c\\ 0& c<t_{\mathrm{btpm}}<d\\ d-t_{\mathrm{btpm}}& t_{\mathrm{btpm}}>d\end{array}\right.$

Wherein, t _Blam, t _BtpmBe respectively T _BlaAnd T _BtpDetected value.

At last, FEEDFORWARD CONTROL amount and the stack of FEEDBACK CONTROL amount are constituted the feed-forward and feedback controller, get operating parameter v _iHot blast temperature and sintering end point temperature feed-forward-FEEDBACK CONTROL amount interval:

v _ibla＝v _ibla0+Δv _ibla

v _ibtp＝v _ibtp0+Δv _ibtp

Step S04: comprehensive satisfaction modeling.

Since separate between each operating parameter, therefore adopt one-dimensional satisfaction function, to operating parameter v _iSet up sintering end point temperature satisfaction model and hot blast temperature satisfaction model.

As operating parameter v _iAt interval V _IblaWhen interior, v _iSatisfy the requirement of actual production, v to hot blast temperature _iThe value of hot blast temperature satisfaction function be 1, therefore adopt trapezoidal satisfaction function, as shown in Figure 3.With the interval V of hot blast temperature operating parameter _BlaFor input, with V _IblaSubstitution operating parameter v _iHot blast temperature satisfaction function, as follows:

$S_{\mathrm{ibla}}=\left\{\begin{array}{cc}0& v_i\&le;v_{i\min }\\ \frac{v_i-v_{i\min }}{v_{\mathrm{ibla}\min }-v_{i\min }}& v_{i\min }<v_i<v_{\mathrm{ibla}\min }\\ 1& v_{\mathrm{ibla}\min }\&le;v_i\&le;v_{\mathrm{ibla}\max }\\ \frac{v_{i\max }-v_i}{v_{i\max }-v_{\mathrm{ibla}\max }}& v_{\mathrm{ibla}\max }<v_i<v_{i\max }\\ 0& v_i\&GreaterEqual;v_{i\max }\end{array}\right.$

Wherein, v _IminAnd v _ImaxRepresent v under the ordinary production respectively _iThe minimum of a value and the maximum that allow, v _Ibla=[v _Iblamin, v _Iblamax] expression operating parameter v _iHot blast temperature satisfactory solution interval.

As operating parameter v _iAt interval v _IblaWhen interior, v _iSatisfy the requirement of actual production, v to the sintering end point temperature _iThe value of sintering end point temperature satisfaction function be 1, therefore adopt trapezoidal satisfaction function, as shown in Figure 4.With V _IbtpSubstitution operating parameter v _iSintering end point temperature satisfaction function, as follows:

$S_{\mathrm{ibtp}}=\left\{\begin{array}{cc}0& v_i\&le;v_{i\min }\\ \frac{v_i-v_{i\min }}{v_{\mathrm{ibtp}\min }-v_{i\min }}& v_{i\min }<v_i<v_{\mathrm{ibtp}\min }\\ 1& v_{\mathrm{ibtp}\min }\&le;v_i{\&le;v}_{\mathrm{ibtp}\max }\\ \frac{v_{i\max }-v_i}{v_{i\max }-v_{\mathrm{ibtp}\max }}& v_{\mathrm{ibtp}\max }<v_i<v_{i\max }\\ 0& v_i\&GreaterEqual;v_{i\max }\end{array}\right.$

Wherein, v _IminAnd v _ImaxRepresent v under the ordinary production respectively _iThe minimum of a value and the maximum that allow, v _Ibtp=[v _Ibtpmin, v _Ibtpmax] expression operating parameter v _iSintering end point temperature satisfactory solution interval.

Adopt linear weight sum method, set up hot blast temperature and sintering end point temperature operating parameter v _iThe comprehensive satisfaction model:

S _i＝γS _ibla+(1-γ)S _ibtp

The computing formula of γ is:

$\mathrm{\&gamma;}=1-\frac{|t_{\mathrm{btpm}}-T_{\mathrm{btpmid}}|}{T_{\mathrm{btpmid}}};$

$T_{\mathrm{btpmid}}=\frac{c+d}{2}$

Wherein, t _BtpmBe T _BtpDetected value, T _Btps∈ [c, d], c, d is setting value, establishes c=350, d=440; Because hot blast temperature satisfaction function and sintering end point satisfaction function are trapezoidal function, therefore make the comprehensive satisfaction function S _iReach peaked operating parameter v _IbestBe an interval, this interval is operating parameter v _iThe output of comprehensive satisfaction model, the interval V of the comprehensively satisfied optimal solution of operating parameter _BestCorresponding 3 subinterval v _1best, v _2best, v _3best

Step S05: comprehensive satisfaction model solution.

Finding the solution of comprehensive satisfaction model is divided into following six kinds of situations, and derives the solution formula of system synthesis satisfaction under these six kinds of situations:

(1) as operating parameter v _iThe interval v of hot blast temperature satisfactory solution _IblaAt the interval v of sintering end point temperature satisfactory solution _IbtpWhen interior, as shown in Figure 5, operating parameter v _iThe interval v of comprehensive satisfied optimal solution _IbestBe [v _Iblamin, v _Iblamax].

(2) as operating parameter v _iSintering end point temperature v _IbtpThe satisfactory solution interval at the interval v of the satisfactory solution of hot blast temperature _IblaWhen interior, as shown in Figure 6, operating parameter v _iThe interval v of comprehensive satisfied optimal solution _IbestBe [v _Ibtpmin, v _Ibtpmax].

(3) as operating parameter v _iThe interval v of hot blast temperature satisfactory solution _IblaWith the interval v of sintering end point temperature satisfactory solution _{The bt feed-forward and feedback}Common factor is arranged, and at the interval v of sintering end point temperature satisfactory solution _IbtpThe left side time, as shown in Figure 7, operating parameter v _iThe interval v of comprehensive satisfied optimal solution _IbestBe [v _Ibtpmin, v _Iblamax].

(4) as operating parameter v _iThe interval v of hot blast temperature satisfactory solution _IblaWith the interval v of sintering end point temperature satisfactory solution _{The bt feed-forward and feedback}Common factor is arranged, and at the interval v of sintering end point temperature satisfactory solution _IbtpThe right side time, as shown in Figure 8, operating parameter v _iThe interval v of comprehensive satisfied optimal solution _IbestBe [v _Iblamin, v _Ibtpmax].

(5) as operating parameter v _iThe interval v of hot blast temperature satisfactory solution _IblaWith the interval v of sintering end point temperature satisfactory solution _IbtpDo not have and occur simultaneously, and at the interval v of sintering end point temperature satisfactory solution _IbtpThe left side time, as shown in Figure 9, have

$S_i=\left\{\begin{array}{cc}0& v_i\&le;v_{i\min }\\ \mathrm{\&gamma;}\frac{v_i-v_{i\min }}{v_{\mathrm{ibla}\min }-v_{i\min }}+(1-\mathrm{\&gamma;})\frac{v_i-v_{i\min }}{v_{\mathrm{ibtp}\min }-v_{i\min }}& v_{i\min }<v_i\&le;v_{\mathrm{ibla}\min }\\ \mathrm{\&gamma;}+(1-\mathrm{\&gamma;})\frac{v_i-v_{i\min }}{v_{\mathrm{ibtp}\min }-v_{i\min }}& v_{\mathrm{ibla}\min }<v_i\&le;v_{\mathrm{ibla}\max }\\ \mathrm{\&gamma;}\frac{v_{i\max }-v_i}{v_{i\max }-v_{\mathrm{ibla}\max }}+(1-\mathrm{\&gamma;})\frac{v_i-v_{i\min }}{v_{\mathrm{ibtp}\min }-v_{i\min }}& v_{\mathrm{ibla}\max }<v_i\&le;v_{\mathrm{ibtp}\min }\\ \mathrm{\&gamma;}\frac{v_{i\max }-v_i}{v_{i\max }-v_{\mathrm{ibla}\max }}+(1-\mathrm{\&gamma;})& v_{\mathrm{ibtp}\min }<v_i\&le;v_{\mathrm{ibtp}\max }\\ \mathrm{\&gamma;}\frac{v_{i\max }-v_i}{v_{i\max }-v_{\mathrm{ibla}\max }}+(1-\mathrm{\&gamma;})\frac{v_{i\max }-v_i}{v_{i\max }-v_{\mathrm{ibtp}\max }}& v_{\mathrm{ibtp}\max }<v_i\&le;v_{i\max }\\ 0& v_i>v_{i\max }\end{array}\right.$

Find the solution by this formula and to make the comprehensive satisfaction function S _iReach the interval v of peaked operating parameter _Ibest, also be operating parameter v _iThe output of comprehensive satisfaction model.

(6) as operating parameter v _iThe interval v of hot blast temperature satisfactory solution _IblaWith the interval v of sintering end point temperature satisfactory solution _IbtpDo not have and occur simultaneously, and at the interval v of sintering end point temperature satisfactory solution _IbtpThe right side time, as shown in figure 10, have

$S_i=\left\{\begin{array}{cc}0& v_i\&le;v_{i\min }\\ \mathrm{\&gamma;}\frac{v_i-v_{i\min }}{v_{\mathrm{ibla}\min }-v_{i\min }}+(1-\mathrm{\&gamma;})\frac{v_i-v_{i\min }}{v_{\mathrm{ibtp}\min }-v_{i\min }}& v_{i\min }<v_i\&le;v_{\mathrm{ibla}\min }\\ \mathrm{\&gamma;}\frac{v_i-v_{i\min }}{v_{\mathrm{ibtp}\min }-v_{i\min }}+(1-\mathrm{\&gamma;})& v_{\mathrm{ibla}\min }<v_i\&le;v_{\mathrm{ibla}\max }\\ \mathrm{\&gamma;}\frac{v_i-v_{i\max }}{v_{\mathrm{ibla}\max }-v_{i\min }}+(1-\mathrm{\&gamma;})\frac{v_{i\min }-v_i}{v_{i\max }-v_{\mathrm{ibtp}\min }}& v_{\mathrm{ibla}\max }<v_i\&le;v_{\mathrm{ibtp}\min }\\ \mathrm{\&gamma;}+(1-\mathrm{\&gamma;})\frac{v_{i\max }-v_i}{v_{i\max }-v_{\mathrm{ibla}\max }}& v_{\mathrm{ibtp}\min }<v_i\&le;v_{\mathrm{ibtp}\max }\\ \mathrm{\&gamma;}\frac{v_{i\max }-v_i}{v_{i\max }-v_{\mathrm{ibla}\max }}+(1-\mathrm{\&gamma;})\frac{v_{i\max }-v_i}{v_{i\max }-v_{\mathrm{ibtp}\max }}& v_{\mathrm{ibtp}\max }<v_i\&le;v_{i\max }\\ 0& v_i>v_{i\max }\end{array}\right.$

Find the solution by this formula and to make the comprehensive satisfaction function S _iReach the maximum interval v of operating parameter _Ibest, also be operating parameter v _iThe output of comprehensive satisfaction model.

Step S06: controlled quentity controlled variable issues.

For guaranteeing the allowance up and down of operating parameter, select V _BestMedian V _Bestmid, with V _BestmidBe issued to sintering process, regulate exhausting air quantity, chassis speed and the firing temperature of sintering machine, realize the intelligent coordinated control of hot blast temperature and sintering end point temperature.

Claims (4)

1. hot blast temperature and sintering end point temperature control method for coordinating based on a satisfactory optimization is characterized in that, may further comprise the steps: step 1: structure hot blast temperature feed-forward and feedback controller and sintering end point temperature feed-forward-feedback controller;

Wherein, the hot blast temperature that is given as of hot blast temperature feed-forward and feedback controller sets value, the feedback signal of hot blast temperature feed-forward and feedback controller is the hot blast temperature detected value in the sintering process, and hot blast temperature feed-forward and feedback controller is output as the interval V of hot blast temperature operating parameter _BlaBe [V _Blamin, V _Blamax];

Sintering end point temperature feed-forward-feedback controller be given as the sintering end point desired temperature, the feedback signal of sintering end point temperature feed-forward-feedback controller is the sintering end point temperature detection value in the sintering process; Sintering end point temperature feed-forward-feedback controller is output as V between sintering end point temperature operation parameter region _BtpBe [V _Btpmin, V _Btpmax];

Wherein, operating parameter V=[v ₁, v ₂, v ₃]=[FD, U, IGN], ratio, the U ∈ [0,4.0] of FD ∈ [0,1] expression fresh air air quantity and exhausting air quantity represent that chassis speed, IGN ∈ [1100,1300] represent firing temperature;

Step 2: set up the comprehensive satisfaction model, with V _BlaAnd V _BtpBe input, with the interval V of the satisfied optimal solution of parametric synthesis _BestBe output, from the interval V of the satisfied optimal solution of parametric synthesis _BestChoose a value and be issued to sintering process, to realize coordinating control based on the hot blast temperature and the sintering end point temperature of satisfactory optimization.

2. hot blast temperature and sintering end point temperature control method for coordinating based on satisfactory optimization according to claim 1 is characterized in that, the interval V of the hot blast temperature operating parameter in the step 1 _BlaThe interval v of FEEDFORWARD CONTROL _Ibla0And V between sintering end point temperature operation parameter region _BtpThe interval v of FEEDFORWARD CONTROL _Ibtp0Characterize by following formula:

v _ibla0＝k _iblagT _blas+C _ibla＝[k _iblaga+C _ibla，k _iblagb+C _ibla]

v _ibtp0＝k _ibtpgT _btps+C _ibtp＝[k _ibtpgc+C _ibtp，k _ibtpgd+C _ibtp]

T wherein _BlaAnd T _BtpRepresent hot blast temperature and sintering end point temperature respectively, T _Blas∈ [a, b], T _Btps∈ [c, d], a, b, c, d is setting value, C _IblaBe operating parameter v _iThe hot blast temperature constant, K _IbtpBe operating parameter v _iSintering end point temperature proportionality coefficient, C _IblaBe operating parameter v _iThe sintering end point thermal constant;

Operating parameter v then _iHot blast temperature and sintering end point temperature FEEDBACK CONTROL amount be respectively:

Δv _ibla＝k _iblagΔT _bla

Δv _ibtp＝k _ibtpgΔT _btp

v _iRepresent i operating parameter, i=1,2,3; Wherein,

${\mathrm{\&Delta;T}}_{\mathrm{bla}}=\left\{\begin{array}{cc}a-t_{\mathrm{blam}}& t_{\mathrm{blam}}<a\\ 0& a<t_{\mathrm{blam}}<b\\ b-t_{\mathrm{blam}}& t_{\mathrm{blam}}>b\end{array}\right.$

${\mathrm{\&Delta;T}}_{\mathrm{btp}}=\left\{\begin{array}{cc}c-t_{\mathrm{btpm}}& t_{\mathrm{btpm}}<c\\ 0& c<t_{\mathrm{btpm}}<d\\ d-t_{\mathrm{btpm}}& t_{\mathrm{btpm}}>d\end{array}\right.$

Wherein, t _Blam, t _BtpmBe respectively T _BlaAnd T _BtpDetected value;

Operating parameter v then _iHot blast temperature and sintering end point temperature feed-forward-FEEDBACK CONTROL amount interval be: $\begin{array}{c}{v}_{\mathrm{ibla}}=v_{\mathrm{ibla}0}+{\mathrm{\&Delta;v}}_{\mathrm{ibla}}\\ v_{\mathrm{ibtp}}=v_{\mathrm{ibtp}0}+{\mathrm{\&Delta;v}}_{\mathrm{ibtp}}\end{array}.$

3. hot blast temperature and sintering end point temperature control method for coordinating based on satisfactory optimization according to claim 1 is characterized in that the concrete steps of setting up the comprehensive satisfaction model are as follows:

v _iHot blast temperature satisfaction function be:

$S_{\mathrm{ibla}}=\left\{\begin{array}{cc}0& v_i\&le;v_{i\min }\\ \frac{v_i-v_{i\min }}{v_{\mathrm{ibla}\min }-v_{i\min }}& v_{i\min }<v_i<v_{\mathrm{ibla}\min }\\ 1& v_{\mathrm{ibla}\min }\&le;v_i\&le;v_{\mathrm{ibla}\max }\\ \frac{v_{i\max }-v_i}{v_{i\max }-v_{\mathrm{ibla}\max }}& v_{\mathrm{ibla}\max }<v_i<v_{i\max }\\ 0& v_i\&GreaterEqual;v_{i\max }\end{array}\right.$

Wherein, v _IminAnd v _ImaxRepresent v under the ordinary production respectively _iThe minimum of a value and the maximum that allow, [v _Iblamin, v _Iblamax] expression operating parameter v _iHot blast temperature satisfactory solution interval;

Operating parameter v _iSintering end point temperature satisfaction function be:

$S_{\mathrm{ibtp}}=\left\{\begin{array}{cc}0& v_i\&le;v_{i\min }\\ \frac{v_i-v_{i\min }}{v_{\mathrm{ibtp}\min }-v_{i\min }}& v_{i\min }<v_i<v_{\mathrm{ibtp}\min }\\ 1& v_{\mathrm{ibtp}\min }\&le;v_i{\&le;v}_{\mathrm{ibtp}\max }\\ \frac{v_{i\max }-v_i}{v_{i\max }-v_{\mathrm{ibtp}\max }}& v_{\mathrm{ibtp}\max }<v_i<v_{i\max }\\ 0& v_i\&GreaterEqual;v_{i\max }\end{array}\right.$

Wherein, v _IminAnd v _ImaxRepresent v under the ordinary production respectively _iThe minimum of a value and the maximum that allow, [v _Ibtpmin, v _Ibtpmax] expression operating parameter v _iSintering end point temperature satisfactory solution interval;

Adopt linear weight sum method, set up hot blast temperature and sintering end point temperature operating parameter v _iThe comprehensive satisfaction model be:

S _i＝γS _ibla+(1-γ)S _ibtp；

Wherein, the computing formula of γ is:

$\mathrm{\&gamma;}=1-\frac{|t_{\mathrm{btpm}}-T_{\mathrm{btpmid}}|}{T_{\mathrm{btpmid}}};$

$T_{\mathrm{btpmid}}=\frac{c+d}{2}$

Wherein, t _BtpmBe T _BtpDetected value, T _Btps∈ [c, d], c, d is setting value, generally establishes c=350, d=440;

Because hot blast temperature satisfaction function and sintering end point satisfaction function are trapezoidal function, therefore make the comprehensive satisfaction function S _iReach peaked operating parameter v _IbestBe an interval, this interval is operating parameter v _iThe output of comprehensive satisfaction model, the interval V of the comprehensively satisfied optimal solution of operating parameter _BestCorresponding 3 subinterval v _1best, v _2best, v _3best

4. according to claim 1-3 each described hot blast temperature and sintering end point temperature control method for coordinating, it is characterized in that, finding the solution of comprehensive satisfaction model be divided into following six kinds of situations based on satisfactory optimization:

Situation 1: as operating parameter v _iThe interval v of hot blast temperature satisfactory solution _IblaAt the interval v of sintering end point temperature satisfactory solution _IbtpWhen interior, operating parameter v _iThe interval v of comprehensive satisfied optimal solution _IbestBe [v _Iblamin, v _Iblamax];

Situation 2: as operating parameter v _iSintering end point temperature v _IbtpThe satisfactory solution interval at the interval v of the satisfactory solution of hot blast temperature _IblaWhen interior, operating parameter v _iThe interval v of comprehensive satisfied optimal solution _IbestBe [v _Ibtpmin, v _Ibtpmax];

Situation 3: as operating parameter v _iThe interval v of hot blast temperature satisfactory solution _IblaWith the interval v of sintering end point temperature satisfactory solution _IbtpCommon factor is arranged, and at the interval v of sintering end point temperature satisfactory solution _IbtpThe left side time, operating parameter v _iThe interval v of comprehensive satisfied optimal solution _IbestBe [v _Ibtpmin, v _Iblamax];

Situation 4: as operating parameter v _iThe interval v of hot blast temperature satisfactory solution _IblaWith the interval v of sintering end point temperature satisfactory solution _IbtpCommon factor is arranged, and at the interval v of sintering end point temperature satisfactory solution _IbtpThe right side time, operating parameter v _iThe interval v of comprehensive satisfied optimal solution _IbestBe [v _Iblamin, v _Ibtpmax];

Situation 5: as operating parameter v _iThe interval v of hot blast temperature satisfactory solution _IblaWith the interval v of sintering end point temperature satisfactory solution _IbtpDo not have and occur simultaneously, and at the interval v of sintering end point temperature satisfactory solution _IbtpThe left side time, have

$S_i=\left\{\begin{array}{cc}0& v_i\&le;v_{i\min }\\ \mathrm{\&gamma;}\frac{v_i-v_{i\min }}{v_{\mathrm{ibla}\min }-v_{i\min }}+(1-\mathrm{\&gamma;})\frac{v_i-v_{i\min }}{v_{\mathrm{ibtp}\min }-v_{i\min }}& v_{i\min }<v_i\&le;v_{\mathrm{ibla}\min }\\ \mathrm{\&gamma;}+(1-\mathrm{\&gamma;})\frac{v_i-v_{i\min }}{v_{\mathrm{ibtp}\min }-v_{i\min }}& v_{\mathrm{ibla}\min }<v_i\&le;v_{\mathrm{ibla}\max }\\ \mathrm{\&gamma;}\frac{v_{i\max }-v_i}{v_{i\max }-v_{\mathrm{ibla}\max }}+(1-\mathrm{\&gamma;})\frac{v_i-v_{i\min }}{v_{\mathrm{ibtp}\min }-v_{i\min }}& v_{\mathrm{ibla}\max }<v_i\&le;v_{\mathrm{ibtp}\min }\\ \mathrm{\&gamma;}\frac{v_{i\max }-v_i}{v_{i\max }-v_{\mathrm{ibla}\max }}+(1-\mathrm{\&gamma;})& v_{\mathrm{ibtp}\min }<v_i\&le;v_{\mathrm{ibtp}\max }\\ \mathrm{\&gamma;}\frac{v_{i\max }-v_i}{v_{i\max }-v_{\mathrm{ibla}\max }}+(1-\mathrm{\&gamma;})\frac{v_{i\max }-v_i}{v_{i\max }-v_{\mathrm{ibtp}\max }}& v_{\mathrm{ibtp}\max }<v_i\&le;v_{i\max }\\ 0& v_i>v_{i\max }\end{array}\right.$

Find the solution by this formula and to make the comprehensive satisfaction function S _iReach the interval v of peaked operating parameter _Ibest, also be operating parameter v _iThe output of comprehensive satisfaction model;

Situation 6: as operating parameter v _iThe interval v of hot blast temperature satisfactory solution _IblaWith the interval v of sintering end point temperature satisfactory solution _IbtpDo not have and occur simultaneously, and at the interval v of sintering end point temperature satisfactory solution _IbtpThe right side time, have

$S_i=\left\{\begin{array}{cc}0& v_i\&le;v_{i\min }\\ \mathrm{\&gamma;}\frac{v_i-v_{i\min }}{v_{\mathrm{ibla}\min }-v_{i\min }}+(1-\mathrm{\&gamma;})\frac{v_i-v_{i\min }}{v_{\mathrm{ibtp}\min }-v_{i\min }}& v_{i\min }<v_i\&le;v_{\mathrm{ibla}\min }\\ \mathrm{\&gamma;}\frac{v_i-v_{i\min }}{v_{\mathrm{ibtp}\min }-v_{i\min }}+(1-\mathrm{\&gamma;})& v_{\mathrm{ibla}\min }<v_i\&le;v_{\mathrm{ibla}\max }\\ \mathrm{\&gamma;}\frac{v_i-v_{i\max }}{v_{\mathrm{ibla}\max }-v_{i\min }}+(1-\mathrm{\&gamma;})\frac{v_{i\min }-v_i}{v_{i\max }-v_{\mathrm{ibtp}\min }}& v_{\mathrm{ibla}\max }<v_i\&le;v_{\mathrm{ibtp}\min }\\ \mathrm{\&gamma;}+(1-\mathrm{\&gamma;})\frac{v_{i\max }-v_i}{v_{i\max }-v_{\mathrm{ibla}\max }}& v_{\mathrm{ibtp}\min }<v_i\&le;v_{\mathrm{ibtp}\max }\\ \mathrm{\&gamma;}\frac{v_{i\max }-v_i}{v_{i\max }-v_{\mathrm{ibla}\max }}+(1-\mathrm{\&gamma;})\frac{v_{i\max }-v_i}{v_{i\max }-v_{\mathrm{ibtp}\max }}& v_{\mathrm{ibtp}\max }<v_i\&le;v_{i\max }\\ 0& v_i>v_{i\max }\end{array}\right.$

Find the solution by this formula and to make the comprehensive satisfaction function S _iReach the maximum interval v of operating parameter _Ibest, also be operating parameter v _iThe output of comprehensive satisfaction model;

Select V _BestMedian V _Bestmid, with V _BestmidBe issued to sintering process, regulate the sintering machine operation, to realize coordinating control based on the hot blast temperature and the sintering end point temperature of satisfactory optimization.

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