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authorYanzhenXiang <54230111+YanzhenXiangRobotics@users.noreply.github.com>2023-11-06 16:49:26 +0100
committerGitHub <noreply@github.com>2023-11-06 16:49:26 +0100
commitd6b96c55ebb89ebd6e2d990ec89122799c68a230 (patch)
tree7a837438da9e07a5e77658c6d882577fff8bcae1 /Submission files/MPC.m
parentUpdate 23 (diff)
parentupdate the new submission zip generated from npross branch (diff)
downloadmpc_pe-master.tar.gz
mpc_pe-master.zip
Merge pull request #1 from YanzhenXiangRobotics/submissionHEADmaster
Submission
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+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+% Copyright (c) 2023, Amon Lahr, Simon Muntwiler, Antoine Leeman & Fabian Flürenbrock Institute for Dynamic Systems and Control, ETH Zurich.
+%
+% All rights reserved.
+%
+% Please see the LICENSE file that has been included as part of this package.
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+classdef MPC
+ properties
+ yalmip_optimizer
+ end
+
+ methods
+ function obj = MPC(Q,R,N,params)
+ nu = params.model.nu;
+ nx = params.model.nx;
+ % YOUR CODE HERE
+ A=params.model.A;
+ B=params.model.B;
+ U = sdpvar(repmat(nu,1,N),ones(1,N),'full');
+ X = sdpvar(repmat(nx,1,N+1),ones(1,N+1),'full');
+
+ [K,P,~] = dlqr(A,B,Q,R);
+
+% s_max=params.constraints.MaxAbsPositionXZ;
+% y_max=params.constraints.MaxAbsPositionY;
+% u_max = params.constraints.MaxAbsThrust;
+ H_x = params.constraints.StateMatrix;
+ h_x = params.constraints.StateRHS;
+ H_u = params.constraints.InputMatrix;
+ h_u = params.constraints.InputRHS;
+ X0 = sdpvar(nx,1,'full');
+ objective = 0;
+ constraints = X{1} == X0;
+ for k = 1:N
+ constraints = [ ...
+ constraints, ...
+ X{k+1} == A*X{k} + B*U{k} , ...
+ H_x * X{k} <= h_x, ...
+ H_u * U{k} <= h_u ...
+ ];
+
+ objective = objective + X{k}'*Q*X{k} + U{k}'*R*U{k};
+ end
+ objective=objective+X{N+1}'*P*X{N+1};
+ % terminal constraint
+% constraints = [ ...
+% constraints, ...
+% X{N+1} == zeros(nx,1)
+% ];
+ opts = sdpsettings('verbose',1,'solver','quadprog');
+ obj.yalmip_optimizer = optimizer(constraints,objective,opts,X0,{U{1} objective});
+ end
+
+ function [u, ctrl_info] = eval(obj,x)
+ % evaluate control action by solving MPC problem
+ tic;
+ [optimizer_out,errorcode,~] = obj.yalmip_optimizer{x};
+ solvetime = toc;
+
+ [u, objective] = optimizer_out{:};
+
+ feasible = true;
+ if (errorcode ~= 0)
+ feasible = false;
+ end
+ ctrl_info = struct('ctrl_feas',feasible,'objective',objective,'solvetime',solvetime);
+ end
+ end
+end