JPS58109903A - Plant controlling method - Google Patents
Plant controlling methodInfo
- Publication number
- JPS58109903A JPS58109903A JP56207084A JP20708481A JPS58109903A JP S58109903 A JPS58109903 A JP S58109903A JP 56207084 A JP56207084 A JP 56207084A JP 20708481 A JP20708481 A JP 20708481A JP S58109903 A JPS58109903 A JP S58109903A
- Authority
- JP
- Japan
- Prior art keywords
- simulator
- plant
- steel
- controller
- control
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Computation (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Feedback Control In General (AREA)
Abstract
Description
【発明の詳細な説明】
本発明は、鉄鋼、火力、半導体製造、化学、電力系統等
のプラント制御法に係ね、特に、通常の工槃用計側器が
設置できない状態にあるプラントあるいは適切な計測器
が実在しない状態にあるプロセスの制御に好適なプラン
ト制御方法に関する。DETAILED DESCRIPTION OF THE INVENTION The present invention relates to plant control methods for steel, thermal power, semiconductor manufacturing, chemistry, power systems, etc. The present invention relates to a plant control method suitable for controlling processes in which no measuring instruments exist.
従来のプ″ｉｌ：／）制御は、制御のためのプロセス状
態の計測に、温度、圧力、応力等の検出器が設置され、
咳検出器の出力信号に基づいて制御するのが通常であり
九。しかし、火力プラントにおけるボイラ内温度や、鉄
鋼における炉内温度は加（３）度＠度となり、現存する
連続計測可能な検出ａは無く、制御も運転員の経験に依
る所が大きい。まえ、化学反応、金属反応を伴うプロセ
スにおいてはリアルタイムに反応状態を検出することは
困難で経験と勘により運転されているのが実情である。In conventional control, temperature, pressure, stress, etc. detectors are installed to measure process conditions for control.
Control is usually based on the output signal of a cough detector. However, the temperature inside a boiler in a thermal power plant or the temperature inside a furnace in a steel plant is heated to (3) degrees Celsius, and there is no existing detection a that can be continuously measured, and control largely depends on the experience of the operator. In fact, in processes involving chemical or metal reactions, it is difficult to detect the reaction state in real time, and the process is operated based on experience and intuition.
本発明の目的は、上述の様な直接測定が困難かプロセス
の制御に効果的な制御法を提供するものである。An object of the present invention is to provide an effective control method for controlling processes that are difficult to directly measure as described above.
本発明はプラントにおける制御対象のプロセスシミュレ
ーションを数学モデルを用いて、時々刻刻リアルタイム
に実行させ、咳シミュレータの演算値を用いて、プロセ
スを制御するとともに、プレレトア環境条件やプラント
で生産される物質ある似゛は燃料等の時間的変化に対し
てシミュレータを固定させ・″ｔ７ｖ−タ０信頼性を向
上させる様にしたものである。The present invention uses a mathematical model to perform a process simulation of a controlled object in a plant in real time, and uses the calculated values of a cough simulator to control the process, and also to adjust the pre-restore environmental conditions and substances produced in the plant. A similar example is one in which the simulator is fixed against temporal changes in fuel, etc., and reliability is improved.
本発明の理解を深めるために、以下実施例によって詳細
に説明する。In order to deepen the understanding of the present invention, the present invention will be explained in detail by way of examples below.
第１図は本発明を鉄鋼プラントにおける転炉の制御に適
用したものである。FIG. 1 shows the application of the present invention to the control of a converter in a steel plant.
１は転炉を示し、溶鉄を酸素２、造滓剤３によって製鋼
化するプロセスである。この様なプロセスに対して、転
炉内の金属反応現象をシずニレ−ジョンするリアルタイ
ムシミュレータ４と、そのシミユレーション値に基づい
て転炉の酸素吹込量、造滓剤投入量を調整するプントロ
ー２５を具備する。Reference numeral 1 indicates a converter, which is a process in which molten iron is made into steel using oxygen 2 and slag forming agent 3. For this type of process, we use a real-time simulator 4 that simulates the metal reaction phenomenon in the converter, and adjust the amount of oxygen blown into the converter and the amount of slag forming agent input based on the simulation values. Equipped with Puntro 25.
転炉の製鋼反応は脱燐、脱硝、脱硫、脱炭等の反応を行
なわせるが、反応中の状況を時々刻々検出測定すること
は出来ない。また、反応も発熱反応を伴い、炉内温度は
１５０ Ｑ Ｃ以上に達する。この様なプロセスに対し
て、反応シミュレータとは二定の時間周期で、反応方程
式を演算し、その演算−呆をコントローラ５に出力する
。コントローラ５はシミュレータ４の出力値に基づいて
、酸素供給量、造滓剤供給量を演算し、シミュレータ４
及び各調整装置２．３に出力する。シミュレータ４はコ
ントローラ５の出力値を用いて、次の状態を演算してゆ
く。製鋼の一つの過程が終了すると溶鋼は排出されるが
、その時、センサー１２より入力した分析装置７で、溶
鋼成分の分析を行ない、モデル修正装置６に分析結果１
３を出力する。モチｋ ’Ｉｌｋ正装置６はシずユレー
タの最終演算値１０を入力し、分析値１３との比較によ
って、シミュレータの演算誤差を求め、シミュレータの
数学モデルの修正１１を行なう。この修正方法としては
、誤差をそのまｔあるいは平均化して、モデルに加算す
ることでも良く、分析値１３とシミユレーション値１０
の比をモデル修正係数として、シミュレータに出力して
も曳い。Steelmaking reactions in converters include dephosphorization, denitrification, desulfurization, decarburization, and other reactions, but it is not possible to detect and measure the conditions during the reactions from moment to moment. Moreover, the reaction is also accompanied by an exothermic reaction, and the temperature inside the furnace reaches 150 Q C or higher. For such a process, the reaction simulator calculates a reaction equation at two constant time periods and outputs the calculation results to the controller 5. The controller 5 calculates the amount of oxygen supplied and the amount of slag forming agent supplied based on the output value of the simulator 4.
and output to each adjustment device 2.3. The simulator 4 uses the output value of the controller 5 to calculate the next state. When one process of steelmaking is completed, the molten steel is discharged, and at that time, the analyzer 7 receives input from the sensor 12 to analyze the molten steel components, and the analysis result 1 is sent to the model correction device 6.
Outputs 3. The mochik'Ilk correcting device 6 inputs the final calculated value 10 of the sysulator, compares it with the analyzed value 13 to determine the calculation error of the simulator, and performs correction 11 of the mathematical model of the simulator. As a correction method, it is possible to add the error as it is or to average it and add it to the model, and the analysis value 13 and the simulation value 10
It is also possible to output the ratio to the simulator as a model correction coefficient.
火力プラントのダイ２制御に適用する場合は、第１図に
おける反応シミュレータ４が、燃料投入量を検出しなが
ら発熱量及び蒸気発生量等のシミュレーションを実施し
、コントローラ廊は燃料供給量、排煙ダンパ開度、給水
流量等の操作を行な−う。モデル修正装置は排ガス温度
、蒸気量、燃料投入量隻を検出してシさユレータのモデ
ル誤差を評価し、モデル修正量をシミュレータに出力す
る。When applied to the die 2 control of a thermal power plant, the reaction simulator 4 in Fig. 1 performs simulations of the calorific value and steam generation amount while detecting the amount of fuel input, and the controller simulator detects the amount of fuel supply and smoke exhaust. Perform operations such as damper opening and water supply flow rate. The model correction device detects the exhaust gas temperature, steam amount, and fuel input, evaluates the model error of the oscillator, and outputs the model correction amount to the simulator.
火力プラントに適用する場合、プラントの応答遅れが大
きいため、シミュレータは通常数分光の状態を予測し、
該予測値を用い１制御するのが通常である。この場合第
２図に示す様に、現時点をシきニレ−ジョンするリアル
タイムシミュレータ２３と、腋すアルタイムシ電ユレー
タの出力値を用いて数分後の状態を予測する予測シミュ
レータ２４に分離しても良い。この纂２図において、２
０はプラント、２１１〜全１３は検出器を示す。When applied to thermal power plants, the response delay of the plant is large, so the simulator usually predicts the state of light for several minutes,
Normally, one control is performed using the predicted value. In this case, as shown in Fig. 2, it is possible to separate the real-time simulator 23, which simulates the present moment, and the predictive simulator 24, which predicts the state several minutes later using the output value of the armpit real-time simulator. good. In this 2nd diagram, 2
0 indicates a plant, and 211 to 13 indicate a detector.
２２は、リアルタイムシミュレータ２３のシミュレート
結果と、検出器２１１〜２１３の出力とを用いて、シミ
ュレータ２３のモデル誤差を求め、そのモデルの適応修
正を行なうモデル適応修正装置である。２５は、予−シ
ミュレータ２４のシミュレート結果を用いて、プラント
２０のプラシト制御量を演算する制御演算装置を示す。Reference numeral 22 denotes a model adaptive correction device that uses the simulation results of the real-time simulator 23 and the outputs of the detectors 211 to 213 to determine model errors of the simulator 23 and adaptively corrects the model. Reference numeral 25 denotes a control calculation device that calculates the plant control amount of the plant 20 using the simulation results of the preliminary simulator 24.
この演算装置２５９演算し九制御量に基づきプラントを
調整する調整装置は省略している。The adjustment device for adjusting the plant based on the nine control variables calculated by the calculation device 259 is omitted.
以上本発明の実施例について述べたが、要約すれば、本
発明はプラントのシミュレーションを時時刻々行ないな
がら眩シミ゛ニレージョン値に基づいてプラントを制御
するものであり、シミュレータとコントローラの組合せ
で制御することを％黴とする。The embodiments of the present invention have been described above, but to summarize, the present invention controls the plant based on the glare stain value while simulating the plant from time to time, and is controlled by a combination of a simulator and a controller. % mold.
実際のシステムとしては計算機１台でシミュレータとコ
ントローラを組込むことも可能であり、２台の計算機で
シミュレータとコントローラを分離しても良い。まえ、
モデル修正装置はシミュレータと一緒に組込むことも可
能であり、別計算機にすることも出来る。In an actual system, it is possible to incorporate a simulator and a controller into one computer, or it is also possible to separate the simulator and controller into two computers. front,
The model correction device can be incorporated together with the simulator, or it can be a separate computer.
本発明の実施によυ、従来検出、計ｌ１１１ｊできなか
ったパラメータが制御的には可観測になり、より高度な
制御が可能となる。また、この結果、省エネルギ、省資
源を目的とした制御を実施する上で非常に有効な制御方
法となる効果がある。By implementing the present invention, parameters that could not be detected or totaled in the conventional art become observable in terms of control, and more sophisticated control becomes possible. Moreover, as a result, the present invention has the effect of becoming a very effective control method in implementing control aimed at energy saving and resource saving.
第１図は本発明の第１の実施例を示す図、第２図は本発
明の他の実施例を示す図である。FIG. 1 shows a first embodiment of the invention, and FIG. 2 shows another embodiment of the invention.
Claims (1)
、該プラントにおけるプロセス現象の時々刻々の変化を
シミュレーションし、誼シミュレーション演算値を制御
量演算のためのパラメータとして、前記プラントの制御
量を決定し、該制御量によって前記プラントを制御する
ことを特徴とするプラント制御方法。 ２、計算機を利用してプラン）を制御する方法において
、該プラントにおけるプロセス現象の時々刻々の変化ヲ
シミュレーションし、該シミュレーション演算値を制御
サンプリング時の初期値として予定時間後の前記プロセ
ス現象を予測的にシミュレーションＬ、誼予１１Ｊ的に
シミュレーションされた演算値を用いて前記プラントの
制御量を決定し、該制御量に基づ龜前記プラントを制御
することを特徴とするプラント制御方法。 ・[Claims] 1. In a method of controlling a plant using a computer, momentary changes in process phenomena in the plant are simulated, and the calculated value of the simulation is used as a parameter for calculating the controlled amount. 1. A plant control method, comprising: determining a control amount, and controlling the plant based on the control amount. 2. In a method of controlling a plan using a computer, the moment-by-moment changes in process phenomena in the plant are simulated, and the process phenomena after a scheduled time are predicted using the simulation calculated values as initial values at control sampling. A plant control method characterized in that a control amount of the plant is determined using calculated values simulated in a simulation L and a simulation 11J, and the plant is controlled based on the control amount.・
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP56207084A JPS58109903A (en) | 1981-12-23 | 1981-12-23 | Plant controlling method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP56207084A JPS58109903A (en) | 1981-12-23 | 1981-12-23 | Plant controlling method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| JPS58109903A true JPS58109903A (en) | 1983-06-30 |
Family
ID=16533926
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP56207084A Pending JPS58109903A (en) | 1981-12-23 | 1981-12-23 | Plant controlling method |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JPS58109903A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS62179001A (en) * | 1986-01-31 | 1987-08-06 | Idemitsu Petrochem Co Ltd | Simulation method for process |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS5052477A (en) * | 1973-09-12 | 1975-05-09 | ||
| JPS5430380A (en) * | 1977-08-10 | 1979-03-06 | Hitachi Ltd | Pseude-operation method of calculation controlling system |
| JPS55113998A (en) * | 1979-02-27 | 1980-09-02 | Nippon Atomic Ind Group Co | Core flow rate control device for atomic power plant |
| JPS56153405A (en) * | 1980-04-30 | 1981-11-27 | Mitsubishi Heavy Ind Ltd | Control system for thermal power plant |
-
1981
- 1981-12-23 JP JP56207084A patent/JPS58109903A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS5052477A (en) * | 1973-09-12 | 1975-05-09 | ||
| JPS5430380A (en) * | 1977-08-10 | 1979-03-06 | Hitachi Ltd | Pseude-operation method of calculation controlling system |
| JPS55113998A (en) * | 1979-02-27 | 1980-09-02 | Nippon Atomic Ind Group Co | Core flow rate control device for atomic power plant |
| JPS56153405A (en) * | 1980-04-30 | 1981-11-27 | Mitsubishi Heavy Ind Ltd | Control system for thermal power plant |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS62179001A (en) * | 1986-01-31 | 1987-08-06 | Idemitsu Petrochem Co Ltd | Simulation method for process |
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