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电流预测控制simulink仿真,帮忙解释一下!!!!

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发表于 2014-11-28 15:47:52 | 显示全部楼层 |阅读模式
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论坛注册会员名: xueshoudaoke
研究方向/专业工种: 自动控制
课题项目/专业特长: 控制、检测、测试
兴趣爱好: 篮球
居住地: 郑州

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1.png 2.png 最近在做电流预测控制算法,在本论坛找到了这个模型,想研究一下,有些问题需要大家给予解释一下,在此谢谢大家了!!!!!我把预测控制器的代码给贴在下面,谁能给我解释一下?" G* ^0 _6 v+ N1 r
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
4 b2 M0 S' D  k  @/ O% This function contains the algorithm for the predictive current control * Y2 X2 S- v& p
% of a two-level voltage source inverter.- z/ B4 ~* y2 ?( A# O
% Inputs:
# G: A$ [' q1 {%   I_ref   := Two-element vector containing the reference current in
, B; J$ a0 B* o( U%              alpha-beta coordinates.$ W( \! J+ k2 O, e& R6 n& y1 L6 w
%   I_meas  := Two-element vector containing the measured current in
4 p% k  i& d5 A% }* \4 c%              alpha-beta coordinates., v$ r  D$ g0 J, \0 U2 A9 @
% Parameters (defined in the file parameters.m):3 E, n8 x6 E; E
%   R       := Load resistance; ^9 m  O! C! w1 m$ h) r
%   L       := Load inductance' _" S9 X% U. Q0 P0 q
%   Ts      := Sampling time- o, d1 n: H+ {' g
%   v       := Eight-element vector containing the voltage vectors that can
- F  F1 e4 V1 E: x3 F1 O+ s! i%              be generated by the inverter, in alpha-beta coordinates.
/ f8 G: }# M# t' w# N5 m- A" F%   states  := Eight-by-three array containing the switching states for ; k# p6 |  q! |6 O) b
%              each voltage vector." I* f1 }! r- E# R' a4 r5 T
% Outputs:
4 O8 e- p" k0 c1 I; r. t%   [Sa, Sb, Sc] := switching state corresponding to the optimum vector to , ]  g( `" j# d; L! |
%                   be applied in the next sampling period.
9 I- |' `- D/ K8 j2 t' }* j%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%' X8 k8 V  }  h: [
) M! f4 I4 z# Z3 }: `! S
function [Sa,Sb,Sc] = control(I_ref,I_meas,R,L,Ts,v,states)
# O) t. r, F9 d7 y7 g% Optimum vector and measured current at instant k-1
6 a, _0 x- c( `) d( t9 {8 B* opersistent x_old i_old & U( W1 f4 [- b  z) L0 @2 E; S6 V
% Initialize values  p4 @+ @3 w9 @8 \$ [( _
if isempty(x_old), x_old = 1; end
) L# V$ s) ^+ ^% @& u* {& K6 eif isempty(i_old), i_old = 0+1j*0; end- p+ i7 ?+ y. G# D4 k! L
g = zeros(1,8);2 {/ U/ T1 Y2 ~; \8 r% s5 O; r
% Read current reference inputs at sampling instant k1 V# E  `$ `; x8 z
ik_ref = I_ref(1) + 1j*I_ref(2);/ l) n0 t! D3 g$ u& X4 k
% Read current measurements at sampling instant k
$ [: j! l& h. R8 {* Gik = I_meas(1) + 1j*I_meas(2);0 d% n6 C) F/ x4 A* {. ^, f
% Back-EMF estimate
5 Y! g3 _! Q. e" e0 p7 I8 oe = v(x_old) - L/Ts*ik - (R - L/Ts)*i_old;
  e6 Q: a4 S" Y  r% Store the measured current for the next iteration
9 E& R( m- w9 x6 B5 \# @i_old = ik;+ t6 k& a+ d' t
for i = 1:8
- u6 e# C0 \' w; ?8 {/ e8 J    % i-th voltage vector for current prediction
4 Y. `# L5 r' |* i) _    v_o1 = v(i);
/ R: I- b- G& t8 @; M    % Current prediction at instant k+1# {' W7 ?2 t4 u& a
    ik1 = (1 - R*Ts/L)*ik + Ts/L*(v_o1 - e);, n6 c& K% W6 L
    % Cost function! g& |, w1 L$ E& g$ R# x
    g(i) = abs(real(ik_ref - ik1)) + abs(imag(ik_ref - ik1));
. n0 T# W8 G" N% v9 z& B4 Lend2 J! h& j1 {- T6 [5 O" h& Z! L/ J
% Optimization' X0 a! m+ @" S# ]
[~,x_opt] = min(g);+ n3 u3 j$ M# n# l# l8 y6 K
% Store the present value of x_opt, T# I2 J7 Z; R$ d4 Y/ B
x_old = x_opt;' j4 w: C7 O% k3 u9 g" @4 `( o
% Output switching states  c+ }2 Z) V2 g7 O2 q7 j
Sa = states(x_opt,1);6 v, o4 M8 x' G2 S
Sb = states(x_opt,2);
' ^* I' X- D  @/ iSc = states(x_opt,3);
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