Математика/5. Математическое моделирование

cand. tech. sci. Semakhin A.M.

student Batalov I. S.

Kurgan State University, Russia

MATHEMATICAL MODEL OF OPTIMIZATION OF STRUCTURE OF THE ELECTROASSEMBLY PANEL OF A CONTROL SYSTEM

 

Increase of efficiency of designing of electroassembly panels is an actual problem. Mathematical modelling allows to raise efficiency of designing of electroassembly panels of control systems of the process equipment.

The open joint-stock company (Open Society) “Kurganhimash” - one of the leading Russian enterprises on designing and manufacture of the process equipment for oil and gas extraction, chemical, power, nuclear, metallurgical, machine-building, medical, food and other industries /1/.

Let's develop mathematical model of optimization of structure of an electroassembly diagram of a control system of the modular compressor station which is let out by the enterprise “Kurganhimash”.

Statement of a problem. From among the nomenclature of the blocks offered by firms on a commodity market forming structure to choose the blocks defining the optimum plan with the least cost.

Let   - the firms offering accessories for electroassembly panels, ;  - the name of completing products, ; - the blocks forming an electroassembly panel of a control system by modular compressor station, ;  - quantity of blocks j names ;  - cost of the block of j-th name; - required variable (binary). =1 - if the block j names i firms is established on an electroassembly panel,  =0 - if the block j names i firms is not established on an electroassembly panel.

The network model of a problem of optimization of structure of an electroassembly panel is presented on fig.1.

 

blocks

 

quantity

 

 

 

 

 
 

 

 

 

 

 

 

 

 

 

 

 


Fig. 1 Network model of optimization of structure of an electroassembly panel

 

The mathematical model of optimization of structure of an electroassembly panel of a control system of modular compressor station looks like

(1)

Restriction 1 provides a choice j the block i firms.

Restriction 2 provides a choice i the firm delivering j the block.

Restriction 3 imposes unnegativity on required variables.

Restriction 4 imposes step-type behaviour on required variables.

The initial given problems enter the name in the form of the distributive table (table 1).

Table 1

The distributive table of a problem of optimization

 

Firms

Blocks

Quantity of blocks

 

 

 

 

 

 

 

 

 

 

 

Need for blocks

 

Algorithm of the decision of a problem of optimization

1. Definition of the basic plan of a problem of optimization.

2. Check of the received distribution of blocks on an optimality.

3. If distribution is not optimum, blocks are redistributed, reducing value of criterion function.

4. Repeated check of an optimality of the received distribution of blocks /2/.

Iterative process repeats until the optimum decision will be received.

Application of algorithm demands performance of conditions:

1. Costs  of blocks of j-th name are presented, , .

2. Quantity  of blocks j-th names are presented, .

3. Names  of completing products are presented, .

4. The general need for blocks is equal to the general offer: .

The general need for blocks less than the general offer, .

The open model will be transformed in closed by introduction of the fictitious block .

The need of the block pays off under the formula

                                   (2)

Methods of the decision of a problem

1. A distributive method.

2. A method of potentials.

Results of the lead researches have allowed to draw conclusions.

1. The mathematical model of optimization of structure of an electroassembly panel of a control system is developed by the modular compressor station which is let out by the enterprise “Kurganhimash”.

2. The mathematical model allows to reduce expenses and terms of designing of an electroassembly panel. To raise validity of accepted decisions.

 

References:

 

1. http://khm.zaural.ru/.

2. Hamdy A Taha Operations Research: An Introduction. Seven Edition - М.: Publishing house "Williams", 2005 - 912 p.