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authorNao Pross <np@0hm.ch>2023-05-12 21:40:25 +0200
committerNao Pross <np@0hm.ch>2023-05-12 21:40:25 +0200
commit5c569a1f21abaf5c2c5654c9df07debf3943dd44 (patch)
tree838f91f7b1ab3e449db81c048394a2a0396fd32f /templates
parentFIX: comment (diff)
downloadmpc_pe-5c569a1f21abaf5c2c5654c9df07debf3943dd44.tar.gz
mpc_pe-5c569a1f21abaf5c2c5654c9df07debf3943dd44.zip
ADD: Add MPC_TS pass task 20
Diffstat (limited to 'templates')
-rw-r--r--templates/MPC_TS.m30
1 files changed, 28 insertions, 2 deletions
diff --git a/templates/MPC_TS.m b/templates/MPC_TS.m
index 05f92ff..cbe7b45 100644
--- a/templates/MPC_TS.m
+++ b/templates/MPC_TS.m
@@ -15,8 +15,34 @@ classdef MPC_TS
function obj = MPC_TS(Q,R,N,H,h,params)
% YOUR CODE HERE
opts = sdpsettings('verbose',1,'solver','quadprog');
- obj.yalmip_optimizer = optimizer(constraints,objective,opts,X0,{U{1} objective});
- end
+
+ % Create yalmip optimization variables
+ U = sdpvar(repmat(params.model.nu,N,1),ones(1,N));
+ X = sdpvar(repmat(params.model.nx,N+1,1),ones(1,N+1));
+
+ % Build cost function and constraints
+ Pinf = idare(params.model.A, params.model.B, Q, R);
+ objective = X{N+1}' * Pinf * X{N+1};
+ constraints = [];
+ for k=1:N+1
+ if k <= N
+ % These constraints are for the index in 1, ..., N
+ objective = objective + X{k}' * Q * X{k} + U{k}' * R * U{k};
+ constraints = [constraints, ...
+ X{k+1} == params.model.A * X{k} + params.model.B * U{k}, ...
+ params.constraints.InputMatrix * U{k} <= params.constraints.InputRHS, ...
+ ];
+ end
+
+ % These contrains are for 1, ..., N+1
+ constraints = [constraints, ...
+ params.constraints.StateMatrix * X{k} <= params.constraints.StateRHS, ...
+ ];
+ end
+ % Terminal constraint
+ constraints = [constraints, H*X{N+1} <= h];
+
+ obj.yalmip_optimizer = optimizer(constraints,objective,opts,X{1},{U{1} objective}); end
function [u, ctrl_info] = eval(obj,x)
%% evaluate control action by solving MPC problem, e.g.