From 1f12e47e6d1fe8b365806aa0b42de237970d53bf Mon Sep 17 00:00:00 2001 From: Nao Pross Date: Wed, 24 May 2023 16:50:06 +0200 Subject: Take deliverables for Robust MPC from yanzhen According to table 12 - generate_disturbances - simulate_uncertain - compute_tube_contorller - compute_minRPI - compute_tightening - MPC_TUBE - MPC_TUBE/eval (contained in MPC_TUBE.m) - MPC_TUBE_script (and its output MPC_TUBE_params.mat) --- templates/MPC_TUBE.m | 47 +++++++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 45 insertions(+), 2 deletions(-) (limited to 'templates/MPC_TUBE.m') diff --git a/templates/MPC_TUBE.m b/templates/MPC_TUBE.m index bd62044..9a630c1 100644 --- a/templates/MPC_TUBE.m +++ b/templates/MPC_TUBE.m @@ -15,8 +15,48 @@ classdef MPC_TUBE methods function obj = MPC_TUBE(Q,R,N,H_N,h_N,H_tube,h_tube,K_tube,params) obj.K_tube = K_tube; - + % YOUR CODE HERE + nx = params.model.nx; + nu = params.model.nu; + + A = params.model.A; + B = params.model.B; + + [~,P,~] = dlqr(A,B,Q,R); + + V = sdpvar(repmat(nu,1,N),ones(1,N),'full'); + Z = sdpvar(repmat(nx,1,N+1),ones(1,N+1),'full'); + + H_x = params.constraints.StateMatrix; + h_x = params.constraints.StateRHS; + H_u = params.constraints.InputMatrix; + h_u = params.constraints.InputRHS; + + P_x_tightened = Polyhedron('A',H_x,'b',h_x).minus(Polyhedron('A',H_tube,'b',h_tube)); + H_z = P_x_tightened.A; + h_z = P_x_tightened.b; + + P_u_tightened = Polyhedron('A',H_u,'b',h_u).minus(K_tube*Polyhedron('A',H_tube,'b',h_tube)); + H_v = P_u_tightened.A; + h_v = P_u_tightened.b; + + X0 = sdpvar(nx,1,'full'); + constraints = [H_tube*(X0-Z{1}) <= h_tube]; + objective = 0; + for k = 1:N + constraints = [ ... + constraints, ... + Z{k+1} == A*Z{k} + B*V{k} , ... +% H_z * Z{k} <= h_z, ... +% H_v * V{k} <= h_v ... + H_x * Z{k} <= h_x, ... + H_u * V{k} <= h_u ... + ]; + objective = objective + Z{k}'*Q*Z{k} + V{k}'*R*V{k}; + end + constraints = [constraints, H_N * Z{end} <= h_N]; + objective = objective + Z{end}'*P*Z{end}; opts = sdpsettings('verbose',1,'solver','quadprog'); obj.yalmip_optimizer = optimizer(constraints,objective,opts,X0,{V{1} Z{1} objective}); @@ -28,7 +68,10 @@ classdef MPC_TUBE [optimizer_out,errorcode] = obj.yalmip_optimizer(x); solvetime = toc; % YOUR CODE HERE - + [v0, z0, objective] = optimizer_out{:}; + u = obj.K_tube*(x-z0)+v0; + + feasible = true; if (errorcode ~= 0) feasible = false; -- cgit v1.2.1