JPH01276304A - Optimization controller - Google Patents

Abstract

PURPOSE:To cope with the fluctuation of the plant operating state in real time and at the same time to reduce the load of an operator by setting the limit condition value in accordance with the fluctuation of the plant operating state and carrying out the optimization arithmetic. CONSTITUTION:The data (a) on the plant load is fetched from a controlled system plant 1 by a process data detecting means 2 for acquisition of the process data (b). Then the upper and lower limit values of the limit conditions are automatically decided based on the plant load signal b' corresponding to the data (b) and a prescribed limit condition pattern. The limit condition range data (c) is produced by an optimization arithmetic means 4 together with the data (b) and the optimization arithmetic is carried out based on a prescribed optimization function. This calculated set value is sent to the plant 1 by an output means 5. Thus it is possible to always perform the stable optimization control to the plant 1 and also to reduce extremely the load of an operator.

Description

DETAILED DESCRIPTION OF THE INVENTION [Object of the Invention] (Field of Industrial Application) The present invention relates to an optimization control device used for plant control.

(Prior art) Conventionally, when controlling the amount of fuel supplied to a recovery boiler in a paper manufacturing plant, for example, an optimization calculation is performed based on a predetermined optimization function based on the amount of fuel input to the recovery boiler. An optimization control device is used that adjusts the supply amount based on set values.

In such a control device, it is necessary to determine set values within a range of constraints determined by plant operation, maintenance, or production planning.

Therefore, in the past, plant load (process data)
The operating status of the plant changes due to changes in the operating zone, such as the time of day, date, date, February 1, 2018, or changes in the production plan. The optimum setting value was determined within that range by manually changing the setting value.

(Problem to be Solved by the Invention) However, as described above, in the conventional optimization control device of this type, it is difficult to control the optimization control system based on changes in the plant operating status due to changes in the plant load or operating zone, changes in the production plan, etc. The operator had to determine the constraint values and manually change the constraint values, which placed a heavy burden on the operator. For this reason, it is difficult to respond to changes in plant operating conditions in real time, and setting errors are likely to occur particularly when the frequency of changes increases, resulting in poor operability and reliability.

Therefore, the present invention can automatically set appropriate constraint values and perform optimization calculations according to changes in plant operating conditions, and can respond to changes in plant operating conditions in real time while reducing the burden on the operator. It is an object of the present invention to provide an optimization control device that can significantly reduce costs and improve operability and reliability.

[Structure of the Invention] (Means for Solving the Problems) The optimization control device of the present invention uses information regarding fluctuations in operating conditions in the plant to be controlled, such as process data, operating zone data, and production plan data from the plant to be controlled. information detection means for detecting information detection means; constraint determination means for automatically determining upper and lower limit values of constraint conditions for the controlled plant according to the information detected by the information detection means; an optimization calculation means for calculating a set value by performing an optimization calculation based on a predetermined optimization function within a range of constraint conditions; and an output means for outputting the set value calculated by the calculation means to the plant to be controlled. It is equipped with the following.

(Function) If the optimization control device takes such measures, process data from the plant to be controlled.

The upper and lower limits of constraints for the controlled plant are automatically determined according to information regarding changes in the operating status of the controlled plant, such as operating zone data and production planning data, and the specified limits are determined within the determined constraint range. Optimization calculations are performed based on the optimization function to calculate set values, and the calculated set values are output to the plant to be controlled to perform optimization control.

(Example) Embodiments of the present invention will be described below with reference to the drawings.

FIG. 1 is a block diagram showing the configuration of an embodiment of the present invention, and numeral 1 in the figure is a plant to be controlled.

2 takes in data a related to the load of the plant, such as the amount of fuel input, online from the plant 1, and performs data processing such as signal processing such as filtering, calculation, etc. as necessary to determine, for example, the input amount.

It is a process data detecting means that obtains process data b such as input time and generates a predetermined plant load signal b', and the plant load signal b' is outputted to the constraint value determining means 3. As shown in FIG. 2, the constraint value determining means 3 patterns the upper limit value H and lower limit value of the = 5 - constraint condition values, which are set in advance in correspondence to each level of the plant load signal b'. The device searches the memory according to the received plant load signal b', extracts the corresponding upper limit value and lower limit value, and generates the constraint range data C. Then, if the previous constraint range data and the current constraint range data are different, a recalculation request signal C' is sent to the optimization calculation means 4. Therefore, in the process data detecting means 2, it is necessary to process the plant load signal b' so that the pattern set in the constraint value determining means 3 can be searched.

When the optimization calculation means 4 receives the recalculation request signal C', the optimization calculation means 4 temporarily stops the optimization calculation, and based on the process data b generated by the process gator detection means 2, the constraint value determination means 3 generates constraint range data C
Executes an optimization operation based on a predetermined optimization function within the range of , calculates a set value, and outputs it as set value data d.
Output to. The output means 5 converts the setting value data e given from the optimization calculation means 4 into an output value corresponding to the controlled plant 1, such as a fuel input instruction amount, and outputs it to the above-mentioned controlled object plant as output value data e. do.

With such a configuration, when the process data detection means 2 takes in the data a regarding the plant load from the control target plan l-1 online, the process data b is converted into the optimization calculation means by predetermined processing of the data a. At the same time, the plant load signal b' is outputted to the constraint value determining means 3. The constraint value detection means 3 searches for a constraint value pattern shown in FIG. 2 based on the received plant load signal b', and extracts the upper and lower limit values of the constraint corresponding to the signal b'.

If the previous constraint condition range and the current constraint condition range are different, a recalculation request signal C is sent to the optimization calculation means 4.
' is output, and the extracted upper and lower limit values are generated as constraint range data C.

In the optimization calculation means 4, upon receiving the recalculation request signal C', the optimization calculation is temporarily stopped, and based on the process data b from the process data detection means 2, the constraint condition range from the constraint value determination means 3 is determined. Optimization calculations are performed within the range of data C based on a predetermined optimization function, and set values are calculated. Then, this set value is outputted to the output means 5 as set value data d, and converted into an output value corresponding to the plant to be controlled. The output value is then output to the plant to be controlled as output value data e, and optimization control is performed.

In this way, in this embodiment, the process data detection means 2 takes in the data a regarding the plant load from the controlled plant 1, and obtains the process data b? 11. Automatically determine the upper and lower limits of the constraint according to a predetermined constraint pattern based on the plant load signal b' corresponding to this data b, and optimize this constraint range data C together with the process data b. The calculation means 4 generates the optimization calculation based on a predetermined optimization function, and the output means 5 outputs the calculated set value to the controlled target plan l-1.

Therefore, according to this embodiment, it is possible to automatically set appropriate constraint values in real time and execute optimization calculations in response to fluctuations in plant operating conditions that occur due to changes in the load of the controlled plant 1. Stable optimization control can always be performed on the target plant 1. Moreover, unlike in the past, the operator does not have to manually change and set appropriate constraint values, so the burden on the operator can be significantly reduced, and there is no risk of adverse effects caused by setting errors.

Therefore, the operability and reliability can be improved, and the integrity of the entire blunt can be improved. Note that the present invention is not limited to the above embodiments. Other embodiments of the present invention will be described below.

FIG. 3 is a diagram showing an example in which constraint values are not determined using process data from controlled target plan l-1, but are determined using data set offline by manual input from an operator. The same parts as in Fig. 1 are given the same symbols (=f).
In the figure, reference numeral 11 denotes a manual input means consisting of an input device such as a keyboard and a controller that converts the input signal of this input device. Manually enter information f regarding Reference numeral 12 denotes a driving zone detecting means which converts the information f taken in from the manual inputting means 11 into a predetermined driving zone code signal g and sends it to the constraint determining means 3. As shown in FIG. 4, the constraint determining means 13 has a table memory in which an upper limit value H and a lower limit value of constraint values are set in advance in correspondence with each driving zone code R, and The above table memory is searched according to the code signal g, the corresponding upper limit value and lower limit value are retrieved, and the constraint condition range data C
It is generated as follows. Then, if the previous constraint range data and the current constraint range data are different, a recalculation request signal C' is sent to the optimization calculation means 4. Therefore, in the driving zone detecting means 12, it is necessary to process the driving zone code signal b' so that the table memory set in the constraint value determining means 13 can be searched.

The configuration and operation of the optimization calculation means 4 and the output means 5 are as follows.
Since it is the same as the case shown in the figure, the explanation will be omitted.

In general, in a plant, the required load differs depending on the operating zone such as year, month, day, day of the week, time, etc., so the operating status of the controlled plant 1 changes as the operating zone changes.

Therefore, in this embodiment, by inputting the operating zone by the operator using the manual input means 11, appropriate constraint values can be set in real time in response to changes in the operating status of the controlled plant 1 due to changes in the operating zone. The upper limit and lower limit of are automatically determined by the constraint determining means 13, and the optimization operation is executed within this constraint range to calculate the set value, so that the same effect as in the previous embodiment can be obtained. can be played.

As another example, as shown in FIG. 3, the production plan determining means 21 determines the production plan data for the controlled plant 1, and this data signal -11= is constrained in accordance with the production plan data. The data may be sent to the constraint determining means 13 having a table in which upper and lower limit values of condition values are set.

Even in this way, when the operating status of the controlled plant 1 changes due to changes in the production plan, the appropriate upper and lower limit values of the constraint values are automatically determined in real time, and the set values match the production plan. can be determined by optimization calculation. In this case, the production plan data may be data set by a program that is automatically imported at a predetermined timing, or may be manually input at a timely manner by the manual input means 11. good.

In addition, by combining at least two of the process data, operating zone data, and production planning data from the controlled plant 1, if any of the data changes, the change is detected and appropriate constraint values are automatically determined. It may be possible to do so. It goes without saying that various other modifications can be made without departing from the spirit of the invention.

[Effects of the Invention] As detailed above, according to the present invention, optimization calculations can be performed by automatically setting appropriate constraint values in accordance with changes in plant operating conditions, thereby improving plant operation. It is possible to provide an optimization control device that can respond to changes in the situation in real time, significantly reduce the burden on the operator, and improve operability and reliability.

[Brief explanation of the drawing]

FIG. 1 is a block diagram showing the configuration of one embodiment of the present invention, FIG. 2 is a diagram for explaining the constraint value determining means in this embodiment, and FIG. 3 is the configuration of another embodiment of the present invention. FIG. 4 is a block diagram illustrating the constraint value determining means in this embodiment. DESCRIPTION OF SYMBOLS 1... Plant to be controlled, 2... Process data detection means, 3, 13... Constraint condition determination means, 4... Optimization calculation means, 5... Output means, 11... Manual input Means, 12... Driving zone detection means, 21... Production plan determining means.

Claims (1)

[Claims] an information detection means for detecting information regarding changes in the operating status of the plant to be controlled, such as process data, operating zone data, production plan data, etc. from the plant to be controlled; A constraint determining means for automatically determining upper and lower limit values of constraint conditions for a target plant, and performing an optimization operation based on a predetermined optimization function within the constraint range determined by the determining means. An optimization control device comprising an optimization calculation means for calculating a set value, and an output means for outputting the set value calculated by the calculation means to the plant to be controlled.