PROPT Singular CSTR

This page is part of the PROPT Manual. See PROPT Manual.

ITERATIVE DYNAMIC PROGRAMMING, REIN LUUS

10.4 Nonlinear two-stage CSTR problem

CHAPMAN & HALL/CRC Monographs and Surveys in Pure and Applied Mathematics

Problem Formulation

Find u over t in [0; t_F ] to minimize:

$J=x(t_{F})'*x(t_{F})+t_{F}$

(the state variables are moved to bounds)

subject to:

${\frac {dx_{1}}{dt}}=-3*x_{1}+g_{1}$

${\frac {dx_{2}}{dt}}=-11.1558*x_{2}+g_{1}-8.1558*(x_{2}+0.1592)*u_{1}$

${\frac {dx_{3}}{dt}}=1.5*(0.5*x_{1}-x_{3})+g_{2}$

${\frac {dx_{4}}{dt}}=0.75*x_{2}-4.9385*x_{4}+g_{2}-3.4385*(x_{4}+0.122)*u_{2}$

$g_{1}=1.5e7*(0.5251-x_{1})*exp(-{\frac {10}{x_{2}+0.6932}})-$

$1.5e10*(0.4748+x_{1})*exp(-{\frac {15}{x_{2}+0.6932}})-1.4280$

$g_{2}=1.5e7*(0.4236-x_{2})*exp(-{\frac {10}{x_{4}+0.6560}})-$

$1.5e10*(0.5764+x_{3})*exp(-{\frac {15}{x4+0.6560}})-0.5086$

The initial condition are:

$x(0)=[0.1962\ -0.0372\ 0.0946\ 0]$

$-1<=u(1:2)<=1$

% Copyright (c) 2007-2008 by Tomlab Optimization Inc.

Problem setup

toms t t_f
p = tomPhase('p', t, 0, t_f, 30);
setPhase(p)

tomStates x1 x2 x3 x4
tomControls u1 u2

% Initial guess
x0 = {t_f == 0.3
    icollocate({x1 == 0.1962; x2 == -0.0372
    x3 == 0.0946; x4 == 0})
    collocate({u1 == 0; u2 == 0})};

% Box constraints
cbox = {0.1 <= t_f <= 100
    -1 <= collocate(u1) <= 1
    -1 <= collocate(u2) <= 1};

% Boundary constraints
cbnd = {initial({x1 == 0.1962; x2 == -0.0372
    x3 == 0.0946; x4 == 0})
    final({x1 == 0; x2 == 0
    x3 == 0; x4 == 0})};

% ODEs and path constraints
g1 = 1.5e7*(0.5251-x1).*exp(-10./(x2+0.6932)) ...
    - 1.5e10*(0.4748+x1).*exp(-15./(x2+0.6932)) - 1.4280;
g2 = 1.5e7*(0.4236-x2).*exp(-10./(x4+0.6560)) ...
    - 1.5e10*(0.5764+x3).*exp(-15./(x4+0.6560)) - 0.5086;

ceq = collocate({
    dot(x1) == -3*x1+g1
    dot(x2) == -11.1558*x2+g1-8.1558*(x2+0.1592).*u1
    dot(x3) == 1.5*(0.5*x1-x3)+g2
    dot(x4) == 0.75*x2-4.9385*x4+g2-3.4385*(x4+0.122).*u2});

% Objective
objective = t_f;

Solve the problem

options = struct;
options.name = 'Singular CSTR';
solution = ezsolve(objective, {cbox, cbnd, ceq}, x0, options);
t  = subs(collocate(t),solution);
x1 = subs(collocate(x1),solution);
x2 = subs(collocate(x2),solution);
x3 = subs(collocate(x3),solution);
x4 = subs(collocate(x4),solution);
u1 = subs(collocate(u1),solution);
u2 = subs(collocate(u2),solution);

Problem type appears to be: lpcon
Time for symbolic processing: 0.51719 seconds
Starting numeric solver
===== * * * =================================================================== * * *
TOMLAB - TOMLAB Development license  999007. Valid to 2011-12-31
=====================================================================================
Problem: ---  1: Singular CSTR                  f_k       0.324402684069356740
                                       sum(|constr|)      0.000000010809237995
                              f(x_k) + sum(|constr|)      0.324402694878594740
                                              f(x_0)      0.299999999999999990

Solver: snopt.  EXIT=0.  INFORM=1.
SNOPT 7.2-5 NLP code
Optimality conditions satisfied

FuncEv    1 ConstrEv   75 ConJacEv   75 Iter   42 MinorIter  427
CPU time: 0.187201 sec. Elapsed time: 0.192000 sec. 

Plot result

subplot(2,1,1)
plot(t,x1,'*-',t,x2,'*-',t,x3,'*-',t,x4,'*-');
legend('x1','x2','x3','x4');
title('Singular CSTR state variables');

subplot(2,1,2)
plot(t,u1,'+-',t,u2,'+-');
legend('u1','u2');
title('Singular CSTR control');