dc dc buck converter for Model predictive control

8 次查看(过去 30 天)
I have designed a dc dc buck converter for the Model predictive control, but when I run the code give the right numrical output but hte graphs are not acuret, any budy can help me to fix this problem
thank you
  2 个评论
Chandrakanth Pavanaskar
Hello,
I just saw your model, can I know how did you get the solution as the solution seems infeasible
Sam Chak
Sam Chak 2022-7-13
I'm unsure, but from the mathematical perspective, the system looks 'manipulatable' with numbers without using MPC. What is the purpose of having the MPC in this case?
Vg = 15; D = 0.4; L = 2e-3; C = 10e-6; R = 100;
a = [0 -(1-D)/L; (1-D)/C -1/(R*C)];
b = [1/L 0; 0 -1/C];
c = eye(length(a));
d = [0];
sys = ss(a, b, c, d); % System in state-space model
k1 = 1;
k2 = 1;
k = [-k1/500 3/5; 0.6 (k2 - 1e3)/1e5] % Gain Matrix
k = 2×2
-0.0020 0.6000 0.6000 -0.0100
br = diag([k1/500, -k2/1e5])*b; % Rescaled Reference Input Matrix
CLsys = ss(a+b*k, br, c, d) % Closed-loop system
CLsys = A = x1 x2 x1 -1 0 x2 7.276e-12 -1 B = u1 u2 x1 1 0 x2 0 1 C = x1 x2 y1 1 0 y2 0 1 D = u1 u2 y1 0 0 y2 0 0 Continuous-time state-space model.
step(CLsys) % Closed-loop step response

请先登录,再进行评论。

回答(1 个)

Chandrakanth Pavanaskar
Hello,
Can I know the research material for this MPC design of buck converter?
Thank you

类别

Help CenterFile Exchange 中查找有关 Linear Plant Specification 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by