CN102151605A - Advanced control method and system for vertical mill based on model identification and predictive control - Google Patents
Advanced control method and system for vertical mill based on model identification and predictive control Download PDFInfo
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Abstract
The invention relates to raw material grinding in the field of cement process industries, and aims to provide an advanced control method and system for a vertical mill based on model identification and predictive control. The method comprises the following steps of: acquiring real-time data from a distributed control system (DCS) monitoring system; analyzing a variation trend of the operation and technology parameters, and then invoking a pathological working condition expert database for performing trend matching; if a pathological working condition appears, issuing early warning display and giving qualitative adjustment suggestion remind; giving an optimal target set value according to the basic operation condition of the vertical mill and the variation situation of the product quality requirement, and writing into a predictive controller; setting an optimal controlled quantity output according to the optimal target set value, and outputting to the DCS monitoring system to control a field actuator to take action. By adopting the invention, the qualitative adjustment suggestion can be precisely given; a mathematical model of the grinding process of the vertical mill is established and updated in real time; the steady-state error of the control system is reduced; and the grinding process of the vertical mill is instructed, so that the mill can operate stably for long term at a maximum efficiency point, and stable margin is maintained.
Description
Technical field
The present invention relates to the raw grinding field in cement process industry field, particularly relate to Vertical Mill advanced control method and system based on Model Distinguish and PREDICTIVE CONTROL.
Background technology
At present, the raw grinding process of cement process industry has occupied 30%～40% of cement production process total energy consumption, original raw material production process is still based on the ball mill grinding, but not only single machine yield is low for ball mill, and the production process airborne dust is big, noise big, output can the loss-rate height.Vertical Mill adopts oven dry wind to sweep technology, and grinding machine and powder concentrator are integrated, and has improved mill efficiency, and unit design output is near 2 times with the volume ball mill; Remain the high negative pressure state in the mill, reduced airborne dust in a large number; Adopt material bed roll-in technology to substitute original steel-ball collision extruding, greatly reduce noise.Therefore Vertical Mill gradually instead of ball mill become the preferred unit of raw grinding.
But present stage, the control of vertical mill system mainly contains following two kinds of forms: 1, DCS monitoring system+operator's experience is regulated; 2, DCS monitoring system+PID feedback regulation+operator's experience is regulated.Mode 1 relies on operator's experience to judge the control of carrying out vertical mill system fully, and shortcoming is as follows: (1) Vertical Mill production efficiency can't reach maximum usually; (2) fluctuation of Vertical Mill running status is big, the service life of reducing equipment; (3) the maloperation probability is big, not only damages equipment, and system's continuous working period is short; (4) the main mass parameter of product, as granularity, fineness etc., fluctuation is bigger.Though mode 2 has added certain control strategy, have non-linear, large time delay, a cross coupling complicated system for vertical mill system is this, the control poor effect of traditional PID, still very strong to operator's dependence, and have and mode 1 similar defective.
Existing advanced control strategy comprises: fuzzy control, fuzzy control, expert's control, ANN Control, PREDICTIVE CONTROL etc.Fuzzy control, fuzzy control and expert control all and are applied in industrial process control field, but still be applicable to that operating mode is simple, system, coupled is weak, linear character is obvious, the single industrial process systems of control target, for complex industrial process with big time-delay, non-linear, close coupling characteristics, above control method not only can run into a lot of difficulties when controller makes up, and can't reach the control effect of expectation.
PREDICTIVE CONTROL is considered to a kind of system optimizing control that is fit to very much process industry, and for complicated problem, Prediction and Control Technology can obtain than the better control effect of traditional control method, and has been widely used.Dynamic matrix control is a kind of as PREDICTIVE CONTROL, the traditional characteristics that not only have PREDICTIVE CONTROL such as rolling optimization, feedback compensation, and have lower to the model requirement, handle characteristics such as constraint convenience, strong robustness, be fit to very much be applied in have large time delay, in the vertical mill system of characteristics such as non-linear and close coupling.
, there have been a lot of scholars should be used as a large amount of theoretical research work aspect the ball mill control both at home and abroad, and on-the-spotly dropped into trial run, obtained good operational effect at some to predictive control theory.Existing Vertical Mill DCS monitoring system can be monitored the crucial operational factor of Vertical Mill, and its real-time numerical value of acquisition and recording (the per second collection once), and this design for predictive controller provides good basic platform.
Summary of the invention
The technical problem to be solved in the present invention is, a kind of Vertical Mill advanced control method and system based on Model Distinguish and PREDICTIVE CONTROL is provided, the existing control mode of cement vertical mill system falls behind to improve, production efficiency of equipment and present situation such as running rate is low, operating personnel's working strength is big, and overcomes the large time delay that himself has, close coupling, defective such as non-linear.The invention provides a kind of advanced control system at the Vertical Mill grinding process, based on Model Distinguish and predictive control theory, to improve grinding machine running stability, to increase unit-hour output and improve product qualified rate is target, and make every effort to project organization rationally, convenient operating maintenance, reliable.
For the defective that overcomes prior art and the existing basic condition of maximum using Vertical Mill industry spot, the technical solution adopted in the present invention is:
A kind of Vertical Mill advanced control method based on Model Distinguish and PREDICTIVE CONTROL is provided, may further comprise the steps:
(1) flow monitoring module is obtained the real time data of Vertical Mill grinding process from the DCS monitoring system by data communication interface OPC; After the variation tendency of operation and technological parameter was analyzed, ill operating mode early warning module invokes morbid state operating mode experts database carried out the trend coupling; If matching result shows that ill operating mode appears in vertical mill system, send early warning and show, and provide qualitative adjusting suggestion prompting; Do not point out as matching result to have ill operating mode, then carry out next step;
(2) the objective optimization module provides the optimum target setting value of thickness of feed layer, circulating load, hydraulic pressure roller pressure and grinding machine outlet temperature, and writes predictive controller according to the situation of change of basic service condition of Vertical Mill and product quality requirement;
(3) the load control module sets value according to optimum target, set the Optimal Control amount output of feeding capacity, powder concentrator rotating speed, water injection valve aperture, hydraulic pressure roller pressure and cold and hot valve area, and export the DCS monitoring system to, and then control on-the-spot actuator action by predictive controller.
In the step of the present invention (2),, then remind and carry out model identification again if the amplitude of variation of described optimum target setting value exceeds preset value; The Model Distinguish module is the Mathematical Modeling of identification Vertical Mill grinding process again, and is updated to predictive controller; Otherwise the original Mathematical Modeling in the retention forecasting controller is constant.
Among the present invention, the construction method of described ill operating mode experts database is: the extraction Vertical Mill moves all ill operating modes from the historical data of the Vertical Mill operation that is stored in the DCS monitoring system and production technology, and the monitoring variable and the variation tendency of reflection working conditions change when determining that by data analysis each ill operating mode occurs, make up the ill operating mode experts database of Vertical Mill grinding process with this.
Further, the present invention also provides a kind of Vertical Mill advanced control system based on Model Distinguish and PREDICTIVE CONTROL that is used to realize preceding method, comprises the predictive controller of the Mathematical Modeling of built-in Vertical Mill grinding process, and this system also comprises:
Be used to obtain the real time data of all crucial monitoring points of Vertical Mill grinding process and the flow monitoring module of historical data, be connected to the DCS monitoring system of Vertical Mill grinding process units by data communication interface OPC;
Be used for objective optimization module that the best target value that thickness of feed layer, circulating load, hydraulic pressure roller pressure and grinding machine outlet temperature is set; With
Be used for the load control module that Optimal Control amount output valve is calculated, comprise predictive controller; Predictive controller is connected by data communication interface OPC with the DCS monitoring system;
The flow monitoring module is connected respectively with objective optimization module, load control module, realizes the monitor data transmission;
Wherein:
The built-in Vertical Mill flow monitoring of flow monitoring module module, ill operating mode early warning module, ill operating mode experts database and early warning module; Morbid state operating mode early warning module links to each other with ill operating mode experts database, realizes exchanges data by query pattern and ill operating mode experts database; Morbid state operating mode early warning module is connected with the first early warning module, realizes the data transmission by writing the pattern and the first early warning module;
The built-in objective optimization computing module of objective optimization module, the second early warning module, Model Distinguish module, model writing module and goal-setting value writing module; The objective optimization computing module links to each other with the Model Distinguish module, realizes that with the early warning pattern selectivity connects; The objective optimization module is connected between the control module with load, realizes that the goal-setting value writes, model writes.
Among the present invention, described Vertical Mill advanced control system is the system of software and hardware combining, comprises the computer hardware equipment and the various software function modules that run on the computer hardware equipment of support system operation.Flow monitoring module of the present invention, objective optimization module, load control module, predictive controller, Vertical Mill flow monitoring module, ill operating mode early warning module, ill operating mode experts database, the first early warning module, objective optimization computing module, the second early warning module, Model Distinguish module, model writing module and goal-setting value writing module are software function module.The specific implementation of these software function modules can have a variety of, those skilled in the art are after the functional description of understanding thinking of the present invention and each server and corresponding module, can realize the programming and the operation of each module fully according to the technical ability of its grasp, not exist and to understand the possibility that maybe can't reproduce.
The present invention has early warning, suggestion and preconditioning function, the operating mode experts database that makes up according to the execute-in-place experience can help to judge grinding process working conditions change trend and to the pathological situation early warning, provide suitable adjusting suggestion according to mill working trend, comprise: powder concentrator rotating speed, hydraulic pressure roller hydraulic coupling etc., predictive controller can be according to historical data and goal-setting value, anticipation current time controlled quentity controlled variable changes the variation of the grinding process running status that may cause in following a period of time, provide the best regulated quantity of controlled quentity controlled variable.
The present invention has gathered two kinds of methods of static optimization dynamic optimization, its static optimization mode makes up the grinding process optimum mathematics model by obtaining Vertical Mill grinding process operational factor, and requires model is carried out real-time update according to basic service condition of Vertical Mill and product quality; Vertical mill system dynamic optimization mode is on target variable setting, historical data and bases such as controlled quentity controlled variable historical data, historical variations amount, according to the grinding process Mathematical Modeling, adopt predictive control algorithm to calculate of the influence of controlled quentity controlled variable historical variations to target variable, searching controlled quentity controlled variable accumulation regulated quantity minimum, target variable are approached the fastest optimum control scheme to setting value, and the variation that basic service condition of optimum target set basis and product quality require is determined.
The present invention is according to the historical data and the real time data of reflection material quality that obtains and end product quality, can carry out optimization to the mill running situation, comprise that best thickness of feed layer setting, optimum cycle load setting, best hydraulic pressure roller pressure are set and best grinding machine outlet temperature is set.
With respect to prior art, beneficial effect of the present invention is:
Patent of the present invention can improve the automatization level of Vertical Mill grinding process greatly, and makes full use of existing control basic condition, as the DCS monitoring system, sets up the host computer advanced control system on its basis.At complicated characteristics such as non-linear, the close coupling of Vertical Mill grinding process, large time delay, abandon conventional control algolithm, adopt predictive control algorithm to promote robustness, stability, accuracy and the validity of control system, guarantee near Vertical Mill operation steady in a long-term maximal efficiency point, guarantee that product qualified rate is in higher level all the time and quality index is stable; In running, hydraulic pressure roller pressure, powder concentrator rotating speed and feeding capacity rationally cooperate, and material is fully ground in grinding machine inside and reduce the internal circulating load of material in mill, thereby effectively reduce the power consumption of cement plant production process, increase economic efficiency; Simultaneously can effectively avoid occurring bad working environments such as empty mill, full mill, the equipment of preventing is exerted oneself overweight and is damaged, and reduces maintenance cost; But patent of the present invention adopts visual function software form, and is easy to operate, the advantage of reliable operation.The Vertical Mill advanced control system, one side improves the unit-hour output of Vertical Mill, improves the quality of finished product; Reduce the output energy loss-rate of Vertical Mill on the one hand, reduce operator's working strength, prolong the service life of grinding machine equipment.
The present invention has following significant advantage:
(1) gathers all ill operating modes of vertical mill system, can provide qualitative adjusting suggestion exactly.
(2) set up and upgrade the Mathematical Modeling of Vertical Mill grinding process in real time, reduce the steady-state error of control system.
(3) the reliable accurate guidance Vertical Mill of predictive control algorithm grinding process.
(4) guarantee grinding machine in the operation steady in a long-term of maximal efficiency point, and keep certain stability margin.
Description of drawings
Fig. 1 is typical Vertical Mill grinding process process chart;
Fig. 2 is a Vertical Mill advanced control system structured flowchart;
Fig. 3 is the logic relation picture between each functional module of Vertical Mill advanced control system;
Fig. 4 is a software design function interface sketch;
Fig. 5 is a Vertical Mill grinding process optimization control flow chart.
The specific embodiment
The present invention has the multiple-objection optimization function, and static optimization and dynamic optimization compatibility, can move the variation of primary condition and product quality requirement according to Vertical Mill, acquisition optimum target setting value, be invoked at line model recognition module identification grinding process Mathematical Modeling again, and above-mentioned optimum target setting value and process model are updated to predictive controller; Dynamic optimization refers to adopt the predictive control algorithm that has roll error compensation, protruding optimization optimizing and closed loop feedback function, seeks the Optimal Control path that reaches the goal-setting value automatically, to guarantee that controlled quentity controlled variable changes the accumulated value minimum, to approach the desired value process the fastest.
Among the present invention, described flow monitoring module, objective optimization module, predictive controller, Model Distinguish module and load control module are all for by software function module, its specific implementation can have a variety of, those skilled in the art are after the functional description of understanding thinking of the present invention and each module, can realize the programming and the operation of each module fully according to the technical ability of its grasp, not exist and to understand the possibility that maybe can't reproduce.
Below in conjunction with accompanying drawing summary of the invention is elaborated:
Fig. 1 has described the process chart of a typical Vertical Mill grinding process, motor 12 drives mill 4 by reductor and rotates, current hot blast 14,15 enters in the mill from air inlet, material is after evenly mix in current stabilization storehouse 8, mix with the feed back that feed back elevator 5 is transported back going into to grind belt 9, after three road air valves 6 carry out the metal slagging-off, drop on mill central authorities from feed opening; Because action of centrifugal force, material moves to the mill edge, and the rolling of grinding roller 3 that is subjected to during through the cannelure on the mill and pulverizing continues to move to the mill edge, and up to being taken up by the air-flow at wind place, bulky grain directly falls back to the grinding again on the mill.
When the material in the air-flow passes through separator 2, under the effect of guide vane and rotor, coarse fodder is fallen on the mill from the awl bucket again, fine powder trips out mill with air-flow one, collects in the dust arrester installation 7 of system, is product, material with the gas contact process in dried, reach desired product moisture,, just can obtain the product 17 of different fineness by regulating the angle and the separator rotor speed of wind blade.
For the efficient stable that ensures vertical mill system moves, and produce qualified material, control rationally: important parameters such as feeding capacity, grinding roller grinding pressure, mill ventilation temperature and air quantity.
The key points for operation of Vertical Mill mainly contain:
(1) keeps stable thickness of feed layer.Suitable thickness of feed layer is the basis of Vertical Mill material bed grinding, the key of normal operation.Thickness of feed layer can be adjusted by the height of regulating material blocking ring, and the corresponding relation between suitable thickness and they and the mill output should be found out in the debug phase.The blocked up Vertical Mill mill efficiency step-down that will make of thickness of feed layer, the too thin meeting of the bed of material makes the impact between grinding roller and the mill too violent, thereby causes the grinding machine vibration, even can damage mill and grinding roller.
(2) select suitable grinding roller hydraulic pressure.Vertical Mill is by means of the bed of material is applied high pressure and carries out grinding operation.Under the normal running, along with the increase of pressure, output can mutually deserved increase, but grinding roller pressure increases with desired power direct corresponding relation is arranged.Therefore this measure belongs to the efficiency problem of whole system.Suitable grinding roller pressure need be taken into account output and power consumption, and this value depends on material properties, granularity and mill output.For certain concrete enterprise, should find out suitable grinding roller pressure and the corresponding relation between pressure and the production capacity;
(3) select suitable wind speed.Vertical mill system mainly drives the material circulation by air-flow.Reasonably the interior wind speed of selection mill can form preferably and circulate in the mill, and upward the bed of material is stable to make dish, thereby improves mill efficiency.In process of production, definite when the vane area, then wind speed is determined by air quantity.Reasonably air quantity should interrelate with feeding capacity, increases as feeding capacity, then should increase intake.If in practical operation, the too small then outer circulation amount of the excessive feeding of wind speed strengthens, and then makes bed of material attenuation, causes the grinding machine vibration;
(4) wind-warm syndrome in reasonably control is ground.Vertical Mill is the oven dry grinding system, and going out to grind wind-warm syndrome is the key index that grinding machine runs well.If wind-warm syndrome is low excessively, drying capacity deficiency then, moisture content of finished products increases, and influences mill efficiency and drying efficiency.
With reference to shown in Figure 2, be Vertical Mill advanced control system structured flowchart, a kind of cement plant raw grinding procedure optimization control method has been described, may further comprise the steps:
(1) obtains a large amount of historical datas that Vertical Mill DCS monitoring system is stored, operation of Field Research Vertical Mill and production technology, extract Vertical Mill all ill operating modes in service, when determining that by data analysis each ill operating mode occurs, the monitoring variable and the variation tendency thereof that can reflect working conditions change are set up Vertical Mill grinding process morbid state operating mode experts database.The equal off-line of more than working is finished;
(2) obtain grinding process historical data and real time data by data communication interface OPC from the DCS monitoring system; The correlated variables analysis of trend is called ill operating mode experts database, judges whether vertical mill system ill operating mode occurs, carries out early warning and shows, provides qualitative adjusting suggestion;
(3) require whether to change according to material quality and product quality, selectivity is called the Model Distinguish module, if model changes, is updated to predictive controller;
(4) require (as granularity, fineness) according to basic service condition of Vertical Mill (as raw material water content, raw material granularity) and end product quality, provide best thickness of feed layer setting, optimum cycle load setting, the setting of best hydraulic pressure roller pressure, the setting of best grinding machine outlet temperature;
(5) be set at target with thickness of feed layer setting, circulating load setting, the setting of hydraulic pressure roller pressure, grinding machine outlet temperature, provide the output of Optimal Control amount: feeding capacity, powder concentrator rotating speed, water injection valve aperture, hydraulic pressure roller pressure and hot and cold valve area.
Fig. 3 has listed the logical relation between each functional module of Vertical Mill advanced control system:
The flow monitoring module comprises: Vertical Mill flow monitoring module, ill operating mode early warning module, OPC interface and the first early warning module.OPC interface and DCS monitoring system data communication are passed through in the Vertical Mill flow monitoring, the Monitoring Data of real-time Transmission Vertical Mill grinding flow process, and in software foreground interface display.Morbid state operating mode early warning module is connected with ill operating mode experts database, carries out Vertical Mill operating mode coupling according to the real time data variation tendency, if matching result shows that ill operating mode appears in vertical mill system, sends early warning, and provides qualitative adjusting suggestion prompting.
The objective optimization module comprises: desired value is optimized computing module, Model Distinguish module, the second early warning module, goal-setting value writing module and model writing module.Vertical Mill Monitoring Data by the flow monitoring module provides obtains the Optimal Control desired value through the objective optimization computing module, the optimum target setting value that calculates is write the predictive controller of load control module by goal-setting value writing module.If optimum target set point change amplitude exceeds preset value, then to remind and carry out model identification again, the up-to-date grinding process model that the Model Distinguish module obtains is written to the predictive controller of load control module.
The monitor data that the load control module provides according to flow monitoring, optimum target setting value and grinding process model that the objective optimization module provides, call predictive controller, the calculating controlled quentity controlled variable is exported, and writes the DCS monitoring system through the OPC interface, and the control actuator is carried out control action.
Figure 4 shows that Vertical Mill advanced control system scene realization sketch, adopt the DCS system to realize monitoring, for satisfying the operability of this control system, with the form realization Vertical Mill optimal control of software architecture based on the Vertical Mill grinding process.
Option " file " comprising: modification system password, system withdraw from, and attention system is logined and withdrawed from all needs cipher safety authentication.
Option " OPC setting " comprising: OPC connection, OPC disconnection, OPC parameter configuration, read the variable name setting.OPC is a kind of interface protocol of this software and the communication of DCS monitoring system, can read the history and the real time data of named variable from the DCS system.
The whole process of production of option " flow monitoring " monitoring vertical mill system, main monitoring point comprises: Vertical Mill inlet gas pressure, inlet temperature, main current of electric, horizontal vibration amplitude, vertical vibration amplitude, exit gas pressure, outlet temperature, grinding roller Hydraulic Station pressure, grinding roller pressure feedback value, cold blast sliding valve aperture, hot-blast valve aperture, powder concentrator frequency conversion rotational speed setup, powder concentrator electric current, feed back belt electric current, feed back elevator electric current, warehouse-in elevator electric current, heavy, the water injection valve aperture of feed back Cang Cang." ill operating mode early warning " button calls ill operating mode module, and this module invokes morbid state operating mode experts database carries out the trend coupling; If matching result shows that ill operating mode appears in vertical mill system, send early warning and show, and provide qualitative adjusting suggestion prompting; Do not point out as matching result to have ill operating mode, then carry out next step.
The parameter that basic service condition of reflection Vertical Mill that option " objective optimization " demonstration is obtained and product quality require: feeding capacity instantaneous value, raw material water content, raw material particle mean size, water injection valve aperture instantaneous value, product fineness requirement, product granularity requirement, thickness of feed layer instantaneous value, feed back elevator electric current.Button " is optimized calculating " and is called Vertical Mill grinding process control objective optimization algorithm calculating optimum goal-setting value, and shows.Button " setting value writes " writes predictive controller with the goal-setting value that calculates, and is used for the calculating of following controlled quentity controlled variable output valve.According to the situation of change of basic service condition of Vertical Mill and product quality requirement, can also remind the operator whether to carry out the identification again of grinding process model.
Option " control of loading " shows the main monitored parameters of reflection Vertical Mill running status and can control real time data, the Model Distinguish module of the major control amount of grinding machine state change.Monitored parameters comprises: pressure reduction in thickness of feed layer, hydraulic pressure roller pressure, feed back elevator electric current, grinding machine vibration values, grinding machine outlet temperature, the mill also comprises optimum setting value, the span of each monitored parameters; Controlled quentity controlled variable comprises: feeding capacity, water injection valve aperture, cold and hot valve area, hydraulic pressure roller pressure, powder concentrator rotating speed, also comprise each controlled quentity controlled variable span, calculate output valve; The Model Distinguish module according to the situation of change of basic service condition of Vertical Mill and product requirement, is selected to call Model Distinguish module identification grinding process model again, and is updated to predictive controller.
Figure 5 shows that Vertical Mill optimal control program flow diagram, obtain the DCS monitor data, data are carried out after the preliminary treatment such as smothing filtering, call the operating mode experts database and carry out the trend coupling, if work condition abnormality, then record is reported to the police and is provided and regulates suggestion, otherwise objective optimization calculates the target optimum setting value, judge and regulate whether action is single loop: feeding, ventilation or hydraulic pressure, select to call single loop forecast model or multiloop coordination control, after finding the solution, protruding optimization PREDICTIVE CONTROL provides controlled quentity controlled variable output.
Patent of the present invention is applicable to all industrial sites that Vertical Mill is used, comprise: cement slurry production, clinker Vertical Mill process of lapping, steel plant's coal-grinding process, other metallic ores, the Vertical Mill grinding process of nonmetallic ore etc., integrated DCS monitoring, optimal control software supervision and the next PLC control, design data communication interface voluntarily, simple to operate, multiple functional, greatly promoted the automatization level of Vertical Mill grinding process, Vertical Mill production efficiency and product quality have been improved, energy-saving and cost-reducing, and greatly reduce working strength of workers, avoiding the people is the occurrence probability of production accident.
Claims (4)
1. based on the Vertical Mill advanced control method of Model Distinguish and PREDICTIVE CONTROL, it is characterized in that, may further comprise the steps:
(1) flow monitoring module is obtained the real time data of Vertical Mill grinding process from the DCS monitoring system by data communication interface OPC; After the variation tendency of operation and technological parameter was analyzed, ill operating mode early warning module invokes morbid state operating mode experts database carried out the trend coupling; If matching result shows that ill operating mode appears in vertical mill system, send early warning and show, and provide qualitative adjusting suggestion prompting; Do not point out as matching result to have ill operating mode, then carry out next step;
(2) the objective optimization module provides the optimum target setting value of thickness of feed layer, circulating load, hydraulic pressure roller pressure and grinding machine outlet temperature, and writes predictive controller according to the situation of change of basic service condition of Vertical Mill and product quality requirement;
(3) the load control module sets value according to optimum target, set the Optimal Control amount output of feeding capacity, powder concentrator rotating speed, water injection valve aperture, hydraulic pressure roller pressure and cold and hot valve area, and export the DCS monitoring system to, and then control on-the-spot actuator action by predictive controller.
2. method according to claim 1 is characterized in that, in the step (2), if the amplitude of variation of described optimum target setting value exceeds preset value, then reminds and carries out model identification again; The Model Distinguish module is the Mathematical Modeling of identification Vertical Mill grinding process again, and is updated to predictive controller; Otherwise the original Mathematical Modeling in the retention forecasting controller is constant.
3. method according to claim 1, it is characterized in that, the construction method of described ill operating mode experts database is: the extraction Vertical Mill moves all ill operating modes from the historical data of the Vertical Mill operation that is stored in the DCS monitoring system and production technology, and the monitoring variable and the variation tendency of reflection working conditions change when determining that by data analysis each ill operating mode occurs, make up the ill operating mode experts database of Vertical Mill grinding process with this.
4. be used to realize the Vertical Mill advanced control system based on Model Distinguish and PREDICTIVE CONTROL of the described method of claim 1, comprise the predictive controller of the Mathematical Modeling of built-in Vertical Mill grinding process, it is characterized in that this system also comprises:
Be used to obtain the real time data of all crucial monitoring points of Vertical Mill grinding process and the flow monitoring module of historical data, be connected to the DCS monitoring system of Vertical Mill grinding process units by data communication interface OPC;
Be used for objective optimization module that the best target value that thickness of feed layer, circulating load, hydraulic pressure roller pressure and grinding machine outlet temperature is set; With
Be used for the load control module that Optimal Control amount output valve is calculated, comprise predictive controller; Predictive controller is connected by data communication interface OPC with the DCS monitoring system;
The flow monitoring module is connected respectively with objective optimization module, load control module, realizes the monitor data transmission;
Wherein:
The built-in Vertical Mill flow monitoring of flow monitoring module module, ill operating mode early warning module, ill operating mode experts database and early warning module; Morbid state operating mode early warning module links to each other with ill operating mode experts database; Morbid state operating mode early warning module is connected with the first early warning module;
The built-in objective optimization computing module of objective optimization module, the second early warning module, Model Distinguish module, model writing module and goal-setting value writing module; The objective optimization computing module links to each other with the Model Distinguish module; The objective optimization module is connected between the control module with load.
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