dc dc buck converter for Model predictive control
显示 更早的评论
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
2022-7-13
Hello,
I just saw your model, can I know how did you get the solution as the solution seems infeasible
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
br = diag([k1/500, -k2/1e5])*b; % Rescaled Reference Input Matrix
CLsys = ss(a+b*k, br, c, d) % Closed-loop system
step(CLsys) % Closed-loop step response
回答（1 个）
Chandrakanth Pavanaskar
2022-7-14
0 个投票
Hello,
Can I know the research material for this MPC design of buck converter?
Thank you
类别
在 帮助中心 和 File Exchange 中查找有关 Controller Creation 的更多信息
2022-7-14
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
