JPH0991334A - Model generating device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To easily generate a model for a product even when outside aimed performance or characteristics are needed or when a component is changed by substituting the row of input state vectors corresponding to an output state vector which is hidden inside in the corresponding column of element matrix for erasure. SOLUTION: An individual matrix generating means 18 arranges individual element matrixes of a component model, read out of an element model file 12, diagonally to generate mutually independent characteristic matrixes. A connection matrix generating means 19 generates a connection matrix according to the input/output state quantity and connection data of the characteristic matrixes. An arranging means 21 for a matrix expression rearranges branch and addition points in the connection matrix to generate a unit matrix and perform erasure. A sweeping-out means 22 erases the elements of the input state vector corresponding to the output state vector hidden inside from the column of the corresponding characteristic matrix by integrating system elements.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a model creating apparatus for modeling a component of a product as a system element and creating a product model from the system element to reproduce a product entity on a computer. .

[0002]

2. Description of the Related Art Conventionally, in an entity having various characteristics such as mechanical, electrical, fluid, or chemical, such as a motor drive system or an engine drive system, to calculate a certain performance and characteristic , The model for obtaining the state quantity corresponding to the aim was created for the whole entity.

[0003]

However, when the performance and characteristics other than the intended one are required or the parts constituting the substance are changed, the whole model has to be newly modeled.

According to the present invention, a partial function constituting a system of a certain entity is modeled as a system element, and this system element is combined with a component structure of a product to automatically generate connection data representing a connection relationship between individual system elements. Create and divide state quantities required for performance and characteristics and unnecessary state quantities, delete unnecessary state quantities to create a product model, and obtain other desired performance and characteristics, Even if there are changes, it is an issue to be able to easily create a product model.

[0005]

As a basic premise of the present invention, the partial functions constituting the system of a certain entity are modeled as system elements that transfer energy. As shown in FIG. 1, when a certain partial function is a black box, this energy model shows the internal loss of the black box, the input energy input to the black box, and the output energy output from the black box. And input energy = output energy + internal loss. The input energy and the output energy are represented by state quantities including a difference quantity and a flow quantity, respectively. The difference amount is a state amount that represents a potential component of input / output energy applied to the substance, and the flow amount is a state amount that represents a flow component of input / output energy applied to the substance. The state quantity is a pair of the input state quantity and the output state quantity, the input state quantity is represented as the input difference quantity or the input flow quantity, and the output state quantity is represented as the output difference quantity or the output flow quantity. That is, the input / output energy is expressed as either a pair of the input difference amount and the output flow amount or a pair of the input flow amount and the output difference amount.

Table 1 shows specific examples of the difference amount and the flow amount.

[Table 1] Energy characteristics Displacement amount Flow rate Linear motion Velocity Load Rotational motion Angular velocity Torque Fluid pressure Pressure flow rate Electric heat temperature Heat flow Acoustic sound pressure Sound flow Electric voltage Current Current Magnetic magnetomotive force Magnetic flux

The energy model will be described in more detail below. When the function of the motor is set to a black box and a current (value) is applied to the flow amount of input energy, the voltage (value) corresponding to the internal resistance of the motor and the motor output is returned to the amount of difference on the input energy side. in this case,
The current is the input flow amount, the voltage is the output difference amount, and (current x voltage) is the input energy. That is, when the rotating torque is constant, the voltage increases and the number of rotations of the motor also increases when a large amount of current flows. On the other hand, the torque is output as the output flow amount, and the angular velocity of the motor is returned as the input difference amount. In this case, (torque x angular velocity) becomes the output energy. It should be noted that in this example, it may be considered that the current is returned as the flow amount by inputting the voltage which is the difference amount. In this case, the arrows in FIG. 1 are reversed, the voltage becomes the input difference amount, and the current becomes the output flow amount.

As shown in FIG. 2A, the inside of the black box of the entity is a closed loop system (eigenvalue system) that represents the intrinsic characteristics of the entity and an open loop system that represents the environmental characteristics that supplies the input energy to the closed loop system. It is composed of a system. In the closed loop system, as shown in FIG. 2B, the output state quantity is fed back and added to the input state quantity to form a permanent loop of the state quantity, and the internal element contained in this loop determines the eigenvalue. . In the open loop system, as shown in FIG. 2C, the input state quantity is added to the output state quantity to form a flow of the state quantity, and the input energy of the external state quantity and the eigenvalue which becomes the input energy applied to the substance. Establish the flow between the internal state quantities Therefore, the energy group added to the substance is the difference input energy group and the flow input energy group added to the environment system, and the difference to the eigenvalue system via this environment system,
A fluid energy group is added.

In this way, all the partial functions that make up the product are energy modeled as system elements, and the products are modeled by combining each system element in a certain connection relationship. The present invention has been made based on such findings.

That is, the model creating apparatus according to the present invention makes a pair of an input / output state quantity a difference quantity representing a potential component of energy applied to the substance as a state quantity and a flow quantity representing a flow component as a state quantity. , The parameters of the internal characteristics of the entity to which these state quantities are added are arranged in the internal matrix elements whose rows are the output state vectors and whose columns are the input state vectors to form an internal matrix corresponding to the above-mentioned difference amount and flow amount. The system equation is used as the system element of the component model, connection data that represents the relationship between the input state vector and the corresponding output state vector is created between the individual system elements, and the individual system elements are assembled through this connection data. The row of the input state vector corresponding to the output state vector hidden inside by integrating together is
Substituting and erasing the corresponding element matrix columns, this matrix is used as the internal matrix of the system elements integrated in the higher order.

Further, according to the present invention, display means for displaying a part model filed in the element model file, a part model displayed by the display means are selected and instructed in accordance with a part structure of a product, and a part model model is displayed. Model selection means for instructing the connection state of the system, model extraction means for reading out the part model selected and instructed by the selection means from the element model file, and individual system elements to be combined according to the connection instruction by the model selection means. Connection data creating means for searching for the difference amount part and the flow amount part of each of the output state quantity and the input state quantity, and creating connection data for connecting the difference amount parts and the flow amount parts, and the element model The individual element matrices of the component model read from the file are arranged diagonally and a characteristic matrix matrix independent of each other is created. An individual matrix creating means, a connection matrix creating means for creating a connection matrix representing an operation and a connection relationship between vectors based on the input / output state quantities of the characteristic matrix matrix and the connection data, and output state quantities of each system element. Composed of a combined output state vector, a combined input state vector in which the input state quantities are combined, and a connection matrix rearranged in accordance with this, and the combined input state vector is multiplied by the connection matrix, A system equation creating means for creating a connection matrix system equation in which a value obtained by multiplying the eigencharacteristic matrix becomes a composite output state vector, and a determinant for arranging branches and addition points in the connection matrix to form a unit matrix and eliminate And the element of the input state vector corresponding to the output state vector hidden inside by the integration is a column of the corresponding element matrix. Sweeping substituting erasure is obtained and means.

[0012]

Embodiments of the present invention will be described below with reference to the drawings. FIG. 3 shows the hardware configuration of the model creating apparatus according to the embodiment of the present invention. This hardware includes a CPU 1, a display device (display) 2, a keyboard 3, a mouse 4, a main memory 5, a file disk 6, and a file disk 7 of processing software.

FIG. 4 shows a processing block diagram by the CPU 1 of the model creating apparatus. The file disk 6 of this model creating apparatus has an icon file 11, an element model file 12, a work file 13, and a product model file 14. Further, the program processing means by the CPU 1 is a file disk 7 of processing software.
Stored in the flow display means 15 and the model extraction means 1
6, a connection data creating means 17, an individual matrix creating means 18, a connection matrix creating means 19, a system equation creating means 20, a determinant organizing means 21, a sweeping means 22 and a registering means 23.

The display means 15 displays each processing mode on the screen of the display 2 and also displays an icon corresponding to the component model of the element model file 12 to select the component model by operating the mouse 4 and to select those components. It is possible to specify the connection status between component models. Also, the connection status is displayed.

The model extraction means 16 reads from the element model file 12 the part model selected and instructed by the operation of the mouse 4.

The connection data creating means 17 uses the mouse 4
Input state quantity (input flow quantity or input difference quantity) on the output energy side according to the connection instruction between system elements by the operation of
And the output state amount on the input energy side (output flow amount or output difference amount), and the output state amount on the output energy side (output flow amount or output difference amount) and the input state amount on the input energy side (input flow amount or Input difference amount) and data for the connection relationship are automatically created (data for the relationship indicated by the dotted line in STEP 1 of FIG. 8).

The individual matrix creating means 18 diagonally arranges the individual element matrices of the component model read from the element model file 12 to create characteristic matrix matrices independent of each other (specific characteristics of STEP 2 in FIG. 8). Matrix S).

The connection matrix creating means 19 creates a connection matrix representing the operation and connection relationship between the respective vectors of the input / output state quantity of the system element based on the input / output state quantity of the characteristic matrix matrix and the connection data. . The rows of this connection matrix are made up of the input state quantities of the system elements, and the rows of the connection matrix are made up of the output state quantities and external state quantities of the system elements.

The system equation creating means 20 creates a combined output state vector created according to the output state quantity and a combined input state vector combined according to the input state quantity of the connection matrix. Then, the combined input state vector and the connection matrix are rearranged according to the columns of the characteristic matrix matrix. Then multiply the connection matrix by the composite input state vector,
A connection matrix system equation configured so that a value obtained by multiplying it by the eigencharacteristic matrix becomes a combined output state vector is created (STEP 2 in FIG. 8).

The determinant organizing means 21 organizes the branches and addition points in the connection matrix into a unit matrix and erases them.

The sweep-out means 22 erases the element of the input state vector corresponding to the output state vector hidden inside by the integration of the system elements from the column of the corresponding characteristic matrix matrix (hatched portion of STEP 4 in FIG. 8). .

Next, a model creating process procedure by the model creating apparatus having the above configuration will be described.

Before explaining the model creating procedure, the actual system which is the object of this embodiment will be described. This physical system is a fan motor drive system for automobile air conditioners.
As shown in FIG. 5, the system elements include a power source component model M ₁ , a motor component model M _2, and a fan component model M ₃ connected to the motor as a load.

In the component model M ₁ of the power supply, the electromotive force as the offset state quantity in the black box is (E ₀ ), the internal resistance of the power supply is (r), and the power supply voltage as the input difference amount of the output energy is ( V) and the load current as the output flow amount is (I), the relationship between them is
E ₀ −rI = V, that is,

It is represented by I = −V / r + E ₀ / r, from which the system element equation of the power supply of FIG. 8 is derived.

In the motor part model M ₂ , the power supply voltage as the output difference amount of the input energy is (V), the load current as the input flow amount is (I), and the motor internal resistance in the black box is ( R), motor magnetic resistance (C), motor constant (F), motor inertia moment (J), motor viscosity resistance coefficient (D), motor angular acceleration (pω ₁ ), output of output energy The output angular velocity as the displacement amount is (ω), and the motor torque as the input flow amount is (T). Here, “p” is a differential coefficient (d / d
t) is shown. Further, R + CF ^{2 is referred} to as an electromagnetic resistance A. The equation of motion of the part model M ₂ of this model is

[Expression 2] 0 = pω ₁ J + Dω−IF + T V = Fω + AI ω = ω The components Fω, AI and ω of the output state quantities V and ω of these equations are arranged in the row direction, and the IFs including the input state quantities I and T, AI and T are arranged in the column direction. A matrix is created, from which the system element equations for the motor of FIG. 8 are derived. The system element equation of the power supply described above and the system element equation of the load described later are also derived from the matrix in which the output state quantities are arranged in the row direction and the input state quantities are arranged in the column direction.

In the load part model M ₃ , each output speed as an input difference amount in the input energy is (ω), a motor torque as an output flow amount is (T), and a moment of inertia of the load in the black box. (J ₁ ), the viscous drag coefficient of the load (D ₁ ), the angular acceleration of the load (pω ₂ ),
Assuming that the load torque is (T ₁ ), the output angular velocity as the input difference amount of the output energy is (ω), and the external torque as the output flow amount is (Te), the relationship between them is

## EQU3 ## It is represented by T ₁ = pω ₂ J ₁ + D ₁ ω, from which the system element equation of the load in FIG. 8 is derived. In this case, for the motor torque (T), connection data for combining the load torque (T ₁ ) and the external torque (Te) is created in advance.

As shown in FIG. 6, the system element equation is an equation in which an output state vector is a product of an element model matrix and an input state vector. The element model matrix is composed of a transient characteristic matrix X, an internal loss matrix A, an input conversion matrix B, an output conversion matrix C, an input transfer matrix D, and a transient conversion matrix W. Each element variable in the element model matrix is as follows.

## EQU00004 ## M: Internal inertia impedance K: Internal elastic impedance R: Internal loss resistance G: Internal loss conductance N: Flow ratio L: Displacement ratio Z: Resistance Y: Conductance State variables in input state vector and output state vector Is as follows.

## EQU00005 ## px: Internal transient state quantity x: Internal state quantity S: External state quantity In addition, "p" of "px" indicates a differential coefficient, which has the same meaning as the dot "." In the figure. The suffix of each variable is defined below.

[Mathematical formula-see original document] f: flow amount p: displacement amount i: input system o: output system b: input conversion matrix c: output conversion matrix d: input transfer matrix

Now, the procedure for creating a model by the model creating apparatus having the above structure will be described with reference to the flow charts shown in FIGS. First, when the operator turns on the power of the computer, the execution of the program is started in step S1-1.

In step S1-2, the display unit 15 displays an icon corresponding to the component model of the element model file 12 on the screen of the display 2, and the mouse 4 can give a command. Here, the operator uses mouse 4
When you select a part model using, and connect between those part models, those part models and the connection status are displayed. Specifically, the power cord and the motor cord arranged as icons on the screen of the display 2 are connected. This issues a command to connect the power supply and the motor component model.

In step S1-3, it is judged whether or not the connection instruction by the mouse 4 is completed and the completion instruction is issued.
If there is a completion instruction, the process proceeds to the next step S1-4, and if there is no completion instruction, the process proceeds to step S5-1.

In step S1-4, the model extracting means 1
6, the component model instructed to be connected is read from the element model file 12 and extracted.

In step S1-5, the connection data creating means 17 causes the input state quantity on the output energy side (input flow amount or input difference amount) and the output state quantity on the input energy side (output flow) according to the connection instruction. Quantity or output difference quantity), and output state quantity on the output energy side (output flow quantity or output difference quantity) and input state quantity on the input energy side (input flow quantity or input difference quantity), and the same The same flow amount portions are connected to each other and the connection relation data is automatically created. Specifically, as shown in FIG. 8, a load current (I) which is an output flow rate of electric energy supplied from a power source to a motor and a load current (I) which is an input flow rate of electric energy received by the motor. And a power supply voltage (V) which is an input difference amount of electric energy returned from the motor to the power supply and a power supply voltage (V) which is an output difference amount of input energy of the motor. Data is created automatically. Connection data between the motor and the load is automatically created in the same manner.

In step S2-1, the individual element matrixes of the extracted power source, motor and load component models are diagonally arranged by the individual matrix creating means 18, and the characteristic matrix matrix (inherent characteristic matrix) is independent of each other. S) is created.

In step S2-2, the connection matrix creating means 19 determines between the vectors of the input / output state quantity of the system element based on the input / output state quantity of the characteristic matrix matrix (inherent characteristic matrix S) and the connection data. A connection matrix representing the operation and connection relation of is created. The rows of this connection matrix are made up of the input state quantities of the characteristic matrix matrix, and the columns of the connection matrix are made up of the output state quantities of the characteristic matrix matrix and the input state quantities from the outside.

In step S2-3, the system equation creating means 20 creates a combined output state vector created according to the output state quantity and a combined input state vector combined according to the input state quantity of the connection matrix. And
The composite input state vector and the connection matrix are rearranged according to the columns of the characteristic matrix matrix. Next, the connection matrix R is multiplied by the composite input state vector, and this is multiplied by the eigencharacteristic matrix S
A connection matrix system equation is created such that the value multiplied by is the combined output state vector. Here, the motor torque T is the load torque T1 and the external torque T
replaced with e.

In step S3-1, the connection matrix R of the connection matrix system equation is calculated by the determinant organizing means 21.
Branches inside and addition points are arranged, and then step S
At 3-2, the connection matrix R is transformed into a unit matrix and deleted.
Integration of transient impedance and reduction of dimension of transient state quantity are also performed. As a result, the connection matrix system equation is converted into a sub-inclusion system equation.

This processing procedure will be described in more detail with reference to FIG. The connection matrix R of the connection matrix system equation shown in the upper part of FIG. 9 includes single points, bifurcation points, and addition / subtraction points. Here, a single point means that there is one connection point in the same row and the same column, a branch point means that there are a plurality of connection points in the same column, and an addition and subtraction point means a plurality of points in the same row. It has a connection point. In this model, since the moment of inertia of the motor and the moment of inertia of the load are directly connected, the condition of pω ₁ = pω ₂ is set. [Process 1] First, the output side (row position) of the single point state quantity in the connection matrix R is fixed and the input side is rearranged and diagonalized. Then, the moments of inertia of pω ₁ = pω ₂ are connected to consolidate the shared acceleration points. Accordingly, in the connection matrix R, 8 columns are added to 3 columns to eliminate 8 columns. [Processing 2] For a plurality of branch points in the same column of the connection matrix R, addition is performed between corresponding columns of the eigencharacteristic matrix S, and the rows of the connection matrix R are deleted. Specifically, in the eigencharacteristic matrix S, 7 columns are added to 3 columns to eliminate 7 columns, and 8 columns are added to 4 columns to eliminate 8 columns. Further, the 7th column and the 8th column in the connection matrix R are deleted. [Processing 3] A plurality of addition points in the same row of the connection matrix R are added by copying the row decomposition of the connection matrix R and the columns of the eigencharacteristic matrix S corresponding to the decomposition rows. Specifically, in the connection matrix R, 6 rows are copied to 7 rows, 0 is substituted for the element value 1 of 6 rows and 7 columns, and 0 is substituted for the element value 1 of 7 rows and 6 columns. . Further, 6 columns are copied to 7 columns in the eigencharacteristic matrix [Process 4] In order to change the connection matrix R into a unit matrix, the subtraction point is changed into an addition point. When the element value is -1, all elements in the corresponding column of the connection matrix R are multiplied by -1. [Process 5] After the connection matrix R is converted into a unit matrix, the rows and columns are rearranged in the form of the element matrix E, the observation matrix M, and the coupling matrix J, so that the lower inclusion system equations are arranged.

In step S4-1, the sweep-out means 22
As a result, the coupling matrix J is removed into a zero matrix by the sweeping method. That is, the element of the input state vector corresponding to the output state vector is searched, and the column of the eigencharacteristic matrix S corresponding to the element of the input state vector is substituted and deleted. As a result, the lower inclusive system equation is converted into the upper integrated system equation.

This processing procedure will be described in more detail with reference to FIG. [Process 1] The unit matrix is subtracted from the diagonal matrix corresponding to the row of the observation matrix in the coupling matrix J to eliminate the coupling output state quantity. That is, 1 is subtracted from the element [E (K ++, L ++)], and this is replaced with E (K ++, L ++). This is expressed as:

[Equation 7] [E (K ++, L ++)] ← [E (K ++, L
+ *)]-[I] Note that * indicates an arbitrary addition row (column). [Processing 2] Sweep out the L + 1 column of the coupling matrix J. This sweeping method will be generally described as sweeping out L + x columns. First, the diagonal elements E [K + x, L + x] are unitized. When E [K + x, L + x] =-1,
There is no need to perform this process. Next, according to the following equation, L +
Sweep out x columns.

## EQU00008 ## E (i, j) = E (i, j) + E (K + x,
j) * E (i, L + x) Here, i = 1 to N, j = 1 to M, but i = K +
The x line and the E (K + i, L + x) line are excluded. [Processing 3] Prior to sweeping out the L + 2 column of the coupling matrix J, a unit matrix of diagonal elements of the L + 2 column is performed. [Processing 4, 5] Sweeping out the L + 2 and L + 3 columns of the coupling matrix J is sequentially performed according to the above-described processing method. [Process 6] The unit matrix is added from the diagonal matrix in the connection matrix J by the following equation to eliminate the diagonal elements of the connection matrix J.

[Equation 9] [E (K ++, L ++)] ← [E (K ++, L
+ *)] + [I]

In step S5-1, it is determined whether or not a registration instruction is given on the display screen. If the registration instruction is issued, the process proceeds to the next step S5-2. If not, the process proceeds to step S6-1. Transfer.

In step S5-2, the registration means 23 registers the completed product model in the file of the completed product model.

In step S6-1, it is determined whether or not an end instruction is given on the display screen. If the end instruction is issued, the process proceeds to the next step S6-2. If not, the process returns to step S1-2. The above steps are repeated.

In step S6-1, the program ends.

The upper element model completed by the above procedure is
As shown in FIG. 5, it is composed of an element system (element matrix) and an observation system (observation matrix). The element system is incorporated into the next higher element model. The observation system is an observer that observes the state quantity inside the system hidden by the upper integration. That is,
Using this observation system, the performance of the changes in the load torque T ₁ of the time variation of the current I and voltage V when the load torque T ₁ is changed, or when the current I is changed, it is possible to calculate the characteristics. In addition, a power supply component model M ₁ , a motor component model M ₂ , and a load component model M ₃ that make up the product model.
Among them, for example, when the motor component model M ₁ is changed to a new model M ₁ ′, the product model can be created using the model M ₁ ′ in the same manner as the above-mentioned procedure.

The uppermost hierarchy is obtained by zeroizing the transient sequence of the upper integrated system equation in the same manner as in step 4-1. FIG. 11 shows a specific example of the specific processing procedure of the uppermost hierarchy, but the procedure is the same as the conversion from the lower-level inclusive system equation to the higher-level integrated system equation, and therefore the description thereof is omitted.

[0046]

As is apparent from the above description, according to the present invention, a system equation representing a model of a product integrated in a higher order can be automatically created from a model of each component, so that each component is modeled as a system element. As a result, the system is assembled in accordance with the required configuration, and it is possible to automate the program creation of the entire product that shows the performance and characteristics of the system from the model of each component.

[Brief description of drawings]

FIG. 1 is a diagram showing an energy model.

FIG. 2 is a diagram showing a configuration inside a black box.

FIG. 3 is a diagram showing a hardware configuration of a model creating device of the present invention.

FIG. 4 is a block diagram of a model creating device of the present invention.

FIG. 5 is a control circuit diagram showing upper integration of element models.

FIG. 6 is a diagram showing a general expression of a system element equation.

FIG. 7 is a flowchart showing the operation of the model creating device of the present invention.

FIG. 8 is a diagram showing a processing procedure of integrating element models by the model creating apparatus of the present invention.

FIG. 9 is a diagram showing a processing procedure of a connection matrix by the model creating device of the present invention.

FIG. 10 is a diagram showing a procedure of processing a connection matrix by the model creating device of the present invention.

FIG. 11 is a diagram showing a processing procedure of the highest hierarchy by the model creating apparatus of the present invention.

[Explanation of symbols]

1 ... CPU, 2 ... Display device, 4 ... Mouse, 11 ... Icon file, 12 ... Element model file, 13 ... Work file, 14 ... Product model file, 15 ... Display means,
16 ... Model extracting means, 17 ... Connection data creating means, 18
... Individual matrix creating means, 19 ... Connection matrix creating means,
20 ... System equation creating means, 21 ... Determinant organizing means, 22 ... Sweeping means

Claims (2)

[Claims] 1. A pair of an input / output state quantity, which is a difference quantity representing a potential component of energy added to the entity as a state quantity, and a flow quantity representing a flow component as a state quantity, are paired with an entity to which these state quantities are added. The parameters of the internal characteristics are arranged in the internal matrix elements whose rows are the output state vectors and whose columns are the input state vectors, and the system equations that form the internal matrix corresponding to the above-mentioned difference amount and flow amount are used as the system elements of the component model. , Creates connection data between each system element that represents the relationship between the input state vector and the corresponding output state vector, and hides inside by combining and integrating the individual system elements via this connection data. The row of the input state vector corresponding to the output state vector is erased by substituting it into the column of the corresponding element matrix, Model generating apparatus being characterized in that the inner matrix of the integrated system element position. 2. Display means for displaying a part model stored in an element model file, selecting and instructing the part model displayed by the display means in accordance with a part structure of a product, and displaying a connection state between the part models. Model selection means for instructing, model extraction means for reading out the part model selected and instructed by the selection means from the element model file, and output state quantities of individual system elements to be combined in accordance with the connection instruction by the model selection means And a connection data creation means for creating a connection data for connecting the difference amount parts and the flow amount parts, and connecting data between the difference amount parts and the flow amount parts, and reading from the element model file. Matrix for arranging the individual element matrices of the specified component model diagonally and creating a characteristic matrix matrix independent of each other Interface creating means, a connection matrix creating means for creating a connection matrix representing the operation and connection relationship between the vectors based on the input / output state quantities of the characteristic matrix matrix and the connection data, and output state quantities of each system element It consists of a combined output state vector created together, a combined input state vector in which the input state quantities are combined, and a connection matrix rearranged in accordance with this, and the combined input state vector is multiplied by the connection matrix Of the eigencharacteristic matrix is a system equation creation means that creates a connection matrix system equation whose combined output state vector is Substitution of the elements of the input state vector corresponding to the output state vector concealed inside by the organizing means from the column of the corresponding element matrix That sweep modeling apparatus characterized by comprising a means.