Difference between revisions of "Catalytic cracking problem (TACO)"
JonasSchulze (Talk | contribs) m (Text replacement - "<bibreferences/>" to "<biblist />") |
JonasSchulze (Talk | contribs) m (Text replacement - "\<bibref\>(.*)\<\/bibref\>" to "<bib id="$1" />") |
||
Line 1: | Line 1: | ||
− | This page contains a model of the [[Catalytic cracking problem]] in [http://www.ampl.org AMPL] format, making use of the TACO toolkit for AMPL control optimization extensions. This problem is due to < | + | This page contains a model of the [[Catalytic cracking problem]] in [http://www.ampl.org AMPL] format, making use of the TACO toolkit for AMPL control optimization extensions. This problem is due to <bib id="Tjoa1991" />. The original model using a collocation formulation can be found in the [http://www.mcs.anl.gov/~more/cops/ COPS library]. |
Note that you will need to include a generic [[support AMPL files|AMPL/TACO support file]], OptimalControl.mod. | Note that you will need to include a generic [[support AMPL files|AMPL/TACO support file]], OptimalControl.mod. | ||
To solve this model, you require an optimal control or NLP code that uses the TACO toolkit to support the AMPL optimal control extensions. | To solve this model, you require an optimal control or NLP code that uses the TACO toolkit to support the AMPL optimal control extensions. |
Latest revision as of 21:32, 30 December 2015
This page contains a model of the Catalytic cracking problem in AMPL format, making use of the TACO toolkit for AMPL control optimization extensions. This problem is due to [Tjoa1991]Author: I.-B. Tjoa; L.T. Biegler
Journal: Ind. Eng. Chem. Res.
Pages: 176--385
Title: Simultaneous solution and optimization strategies for parameter estimation of differential-algebraic equations systems
Volume: 30
Year: 1991
. The original model using a collocation formulation can be found in the COPS library.
Note that you will need to include a generic AMPL/TACO support file, OptimalControl.mod.
To solve this model, you require an optimal control or NLP code that uses the TACO toolkit to support the AMPL optimal control extensions.
AMPL
This is the source file gasoil_taco.mod
# ---------------------------------------------------------------- # Catalytic cracking problem using AMPL and TACO # (c) Christian Kirches, Sven Leyffer # # Source: COPS 3.1 collocation formulation - March 2004 # Michael Merritt - Summer 2000 # ---------------------------------------------------------------- include OptimalControl.mod; var t; param ne := 2; # number of differential equations param np := 3; # number of ODE parameters param nm > 0, integer; # number of measurements param bc {1..ne}; # ODE initial conditions param tau {1..nm}; # times at which observations made param z {1..nm, 1..ne}; # observations var theta {1..np} >= 0, <= 20; # ODE parameters var u {s in 1..ne}; minimize l2error{j in 1..nm}: eval ( sum {s in 1..ne}(u[s] - z[j,s])^2, tau[j] ); subject to theta_bounds {i in 1..np}: theta[i] >= 0.0; subject to bc_cond {s in 1..ne}: eval (u[s], 0) = bc[s]; subject to de1: diff(u[1],t) = - (theta[1]+theta[3])*u[1]^2; subject to de2: diff(u[2],t) = theta[1]*u[1]^2 - theta[2]*u[2]; data gasoil_taco.dat; option solver ...; solve;
This is the data file gasoil_taco.dat
param nm := 21; # Time measurements param tau := 1 0 2 0.025 3 0.05 4 0.075 5 0.10 6 0.125 7 0.150 8 0.175 9 0.20 10 0.225 11 0.250 12 0.30 13 0.35 14 0.40 15 0.45 16 0.50 17 0.55 18 0.65 19 0.75 20 0.85 21 0.95; # Concentrations param z: 1 2 := 1 1.0000 0 2 0.8105 0.2000 3 0.6208 0.2886 4 0.5258 0.3010 5 0.4345 0.3215 6 0.3903 0.3123 7 0.3342 0.2716 8 0.3034 0.2551 9 0.2735 0.2258 10 0.2405 0.1959 11 0.2283 0.1789 12 0.2071 0.1457 13 0.1669 0.1198 14 0.1530 0.0909 15 0.1339 0.0719 16 0.1265 0.0561 17 0.1200 0.0460 18 0.0990 0.0280 19 0.0870 0.0190 20 0.0770 0.0140 21 0.0690 0.0100; param bc := 1 1 2 0;
Other Descriptions
Other descriptions of this problem are available in
- Mathematical notation at Catalytic cracking problem
- AMPL (using a fixed discretization) at the COPS library
References
There were no citations found in the article. R