Results of calculation

In figure 9.5 graphical functional dependences of calculated values of induction in the magnetic circuit (fig. 9.1) accord to each step of iteration are represented.

The task for fulfillment

· To study item 9.1.

· To repeat the program represented in item. 9.1 and to obtain dependences B(k)

into each limb of magnetic system (fig. 9.5);

· To display the finish numerical values of magnetic induction;

· To verify program;

· Laboratory work results (the program, listing of calculation, graphics) are saved in a personal file.

Figure 9.5 – Calculated curves of magnetic induction in limbs of the core according to iteration step

10 LAboratory work # 10

TOPIC : Modeling of electromagnetic processes in magnetic circuits of a direct magnetic flux in MATLAB environment. Part 2.

PURPOSE OF THE WORK: Problem statement, development of the program of calculation of a nonlinear magnetic circuit by the Newton method using discrete models of nonlinear resistance and their spline-interpolation.

The task for fulfillment

For the given variant of the magnetic circuit:

 Develop mathematical model for calculation of magnetic fluxes through the core;

 Make the program realizing developed model;

 Organize graphical output of the calculated values of magnetic inductions in the magnetic circuit (fig. 10.1) accord to the number of each step of iteration;

 Debug the program;

 Verify program;

 Save the results of the work (the program, listing of calculation, graphics) at your personal file;

 Draw up the report on laboratory work. The report would contain the mathematical model of the studied circuit, texts of programs, results of calculation, conclusion.

Individual tasks

The design of a magnetic system is represented in figure 10.1.

Figure 10.1 – The modeled magnetic circuit

Parameters of a magnetic system according to the given variant are placed in table 10.1, where L11 is thickness of the core limbs.

A curve of magnetization B(H) is adduced in methodical direction to laboratory work #9.

Table 10.1.

Var #	L1, mm	L2, mm	L3, mm	L4, mm	L5, mm	L6, mm	L7, mm	L8, mm	L9, mm	L10, mm	L11, mm	I1, A	I2, A	N1	N2
1	20	80	25	80	20	25	80	0.02	0.02	25	25	10	10	60	60
2	25	80	20	80	20	20	80	0.01	0.02	20	20	20	10	30	60
3	20	100	20	100	20	20	100	0.03	0.02	20	20	40	10	10	60
4	30	80	30	80	30	30	80	0.04	0.01	30	30	40	30	14	20
5	20	90	20	90	20	20	90	0.02	0.03	20	20	50	5	40	50
6	15	80	15	80	15	15	80	0.05	0.03	15	15	15	10	15	10
7	20	70	20	70	20	20	70	0.06	0.04	20	20	35	30	50	20
8	40	180	40	180	40	40	180	0.02	0.02	40	40	50	7	10	80
9	50	200	50	200	50	50	200	0.07	0.07	50	50	70	20	20	60
10	20	90	20	90	20	20	90	0.01	0.1	20	20	30	10	40	40
11	30	100	30	100	30	30	100	0.05	0.02	30	40	55	15	5	15
12	50	100	50	100	50	50	300	0.08	0.07	50	50	70	40	20	10
13	40	150	40	150	40	40	140	0.05	0.05	60	40	50	60	10	80
14	40	100	40	100	30	30	100	0.05	0.02	30	40	55	15	50	45
15	10	60	10	60	10	10	60	0.03	0.05	10	20	5	15	50	10
16	80	200	80	200	80	80	200	0.1	0.2	80	80	70	60	10	60
17	50	200	50	200	50	50	200	0.1	0.2	50	50	50	60	20	60
18	50	300	50	300	50	50	300	0.4	0.5	50	50	60	60	30	60
19	30	250	30	250	30	30	250	0.05	0.02	30	40	55	15	30	45
20	40	150	40	150	40	40	150	0.05	0.04	40	40	50	30	50	80
21	60	280	60	280	60	60	280	0.02	0.02	60	60	60	50	10	60
22	20	70	20	80	20	10	80	0.03	0.02	10	20	10	10	60	30
23	20	190	20	190	20	20	190	0.2	0.08	20	20	60	30	40	80
24	25	80	25	80	25	25	80	0.02	0.02	25	20	10	10	65	20
25	30	150	30	150	30	30	150	0.04	0.03	30	30	40	35	18	19