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50 High Dimensional Control
Problem 7: DYNOPT User’s Guide version 4.1.0
M. Cizniar, M. Fikar, M. A. Latifi, MATLAB Dynamic Optimisation Code DYNOPT. User’s Guide, Technical Report, KIRP FCHPT STU Bratislava, Slovak Republic, 2006.
50.1 Problem description
Find u over t in [0; 0.2 ] to minimize
∫ | | 5.8*(q*x1−u4)−3.7*u1−4.1*u2+ |
q*(23*x4+11*x5+28*x6+35*x7)−5.0*u32−0.099 dt |
subject to:
| = u4−q*x1−17.6*x1*x2−23*x1*x6*u3 |
| = u1−q*x2−17.6*x1*x2−146*x2*x3 |
| = −q*x4+35.2*x1*x2−51.3*x4*x5 |
| = −q*x5+219*x2*x3−51.3*x4*x5 |
| = −q*x6+102.6*x4*x5−23*x1*x6*u3 |
where
x(0) = [0.1883 0.2507 0.0467 0.0899 0.1804 0.1394 0.1046]′ |
Reference: [13]
50.2 Problem setup
toms t
p = tomPhase('p', t, 0, 0.2, 20);
setPhase(p);
tomStates x1 x2 x3 x4 x5 x6 x7
tomControls u1 u2 u3 u4
x = [x1; x2; x3; x4; x5; x6; x7];
u = [u1; u2; u3; u4];
x0i = [0.1883;0.2507;0.0467;0.0899;0.1804;0.1394;0.1046];
x0 = icollocate({x1==x0i(1),x2==x0i(2),x3==x0i(3),x4==x0i(4),x5==x0i(5),x6==x0i(6),x7==x0i(7)});
% Box constraints and boundary
uL = zeros(4,1); uU = [20;6;4;20];
cbb = {collocate(uL <= u <= uU)
initial(x == x0i)};
% ODEs and path constraints
q = u(1)+u(2)+u(4);
ceq = collocate({
dot(x1) == u4-q.*x1-17.6*x1.*x2-23*x1.*x6.*u3;
dot(x2) == u1-q.*x2-17.6*x1.*x2-146*x2.*x3;
dot(x3) == u2-q.*x3-73*x2.*x3;
dot(x4) == -q.*x4+35.2*x1.*x2-51.3*x4.*x5;
dot(x5) == -q.*x5+219*x2.*x3-51.3*x4.*x5;
dot(x6) == -q.*x6+102.6*x4.*x5-23*x1.*x6.*u3;
dot(x7) == -q.*x7+46*x1.*x6.*u3});
% Objective
objective = integrate(-(5.8*(q.*x1-u4)-3.7*u1-4.1*u2+...
q.*(23*x4+11*x5+28*x6+35*x7)-5.0*u3.^2-0.099));
50.3 Solve the problem
options = struct;
options.name = 'High Dim Control';
solution = ezsolve(objective, {cbb, ceq}, x0, options);
Problem type appears to be: qpcon
Starting numeric solver
===== * * * =================================================================== * * *
TOMLAB - Tomlab Optimization Inc. Development license 999001. Valid to 2011-02-05
=====================================================================================
Problem: --- 1: High Dim Control f_k -21.834326989498084000
sum(|constr|) 0.000000000215730497
f(x_k) + sum(|constr|) -21.834326989282353000
f(x_0) 0.000000000000000000
Solver: snopt. EXIT=0. INFORM=1.
SNOPT 7.2-5 NLP code
Optimality conditions satisfied
FuncEv 1 ConstrEv 95 ConJacEv 95 Iter 88 MinorIter 488
CPU time: 1.234375 sec. Elapsed time: 1.250000 sec.
50.4 Plot result
figure(1)
ezplot(x);
legend('x1','x2','x3','x4','x5','x6','x7');
title('High Dim Control state variables');
figure(2)
ezplot(u);
legend('u1','u2','u3','u4');
title('High Dim Control control');
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