1 | %simulator PMSM for PCRB, choice: Ls/Ldq & control |
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2 | clear all; |
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3 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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4 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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5 | |
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6 | % settings |
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7 | % ON/OFF MODEL INDUCT. L |
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8 | model(1) = 1; % alpha-beta Ls |
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9 | model(2) = 0; % alpha-beta Ldq |
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10 | model(3) = 0; % reduced alpha-beta Ls |
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11 | model(4) = 0;%zatim nefunguje % reduced alpha-beta Ldq |
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12 | |
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13 | % CONTROL |
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14 | % 1 - ome = ref_ome, the = integral(ome), ial = ibe = 0 |
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15 | % 2 - PI control |
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16 | % 3 - PI + injection (sin -> dq) |
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17 | % 4 - PI + injection (rect. -> dq) |
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18 | % 5 - PI + injection (const. -> ud) *J4 ~ 3e-6 for all exc. dq |
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19 | % 6 - PI + rnd error (ref_ome) *J4: dq bad; ab,5sc Ls ~ 4e-4; ab,5sc Ldq ~5e-6 |
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20 | % 7 - PI + injection (sin -> al-be) |
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21 | % 8 - PI + injection (rect. -> al-be) |
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22 | % 9 - PI + bicrit. (sign) *J4 ~ 1e-3 for all exc. dq |
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23 | % 10 - PI + rnd bicrit. selection (5) |
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24 | |
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25 | control = 2; |
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26 | % control = 5; |
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27 | % control = 8; %high frekq. |
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28 | % control = 9; |
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29 | % control = 10; |
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30 | % param. amp*phi(injom*dt*t) //phi = sin,cos,sign(sin),sing(cos) |
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31 | |
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32 | amp = 10.0; |
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33 | injom = 5000; |
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34 | |
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35 | %cov Q, R matrices |
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36 | % %noise |
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37 | % Q = diag([0.0013 0.0013 5.0e-6 1.0e-10]); |
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38 | % R = diag([0.0006 0.0006]); |
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39 | % %EKF |
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40 | Q = diag([0.1 0.1 0.1 0.001]); |
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41 | R = diag([0.05 0.05]); |
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42 | % %test |
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43 | % Q = diag([0.1 0.1 0.1 10]); |
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44 | % R = diag([0.5 0.5]); |
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45 | |
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46 | %horizont |
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47 | T = 120000; |
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48 | |
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49 | %reference signal |
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50 | % ref_profile = [1, 10, 50, 200, 200, 30, 0, 0, -1, -10, -50, -200, -200, -30, 0]; |
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51 | ref_profile = [0, -1, 3, 6, 9, 6, 3, 0, 0, 0, 0, 0, 0,-3, -6, -3]; |
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52 | % ref_profile = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]; |
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53 | % ref_profile = ones(1,16); |
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54 | |
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55 | [var_ome, var_th] = fpcrb2(model, control, amp, injom, Q, R, T, ref_profile, eye(4)); |
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56 | |
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57 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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58 | % plot |
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59 | |
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60 | %axis |
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61 | xax = 1:T-1; |
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62 | dt = 0.000125; |
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63 | timex = (xax)*dt; |
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64 | cmp = lines(sum(model)); |
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65 | for i=1:sum(model) |
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66 | figure(1); |
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67 | hold on; |
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68 | plot(timex, var_ome(xax,i),'Color',cmp(i,:)); |
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69 | |
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70 | figure(2); |
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71 | hold on; |
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72 | plot(timex, var_th(xax,i),'Color',cmp(i,:)); |
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73 | end |
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74 | |
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75 | % sound(chirp(0:0.001:2,0,1,150)); |
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