Table of Contents

1. Author

2. Contents

   3. teprob.f

   4. temain_mod.f

      5. License
      6. Instructions for running the program

   5. teprob.f

      6. Subroutines
      7. Manipulated Variables
      8. Continuous Process Measurements
      9. Sampled Process Measurements
      10. Process Disturbances

Author

Copyright (c) 1998-2002 The Board of Trustees of the University of Illinois All rights reserved.

Developed by: Large Scale Systems Research Laboratory

Professor Richard Braatz, Director Department of Chemical Engineering University of Illinois

http://brahms.scs.uiuc.edu

Contents

This directory contains the Fortran 77 codes for the open-loop and the closed-loop simulations for the Tennessee Eastman process (TEP) as well as the training and testing data files used for evaluating the data-driven methods (PCA, PLS, FDA, and CVA).

The descriptions of each file is shown below:

Each training data file contains 480 rows and 52 columns and each testing data file contains 960 rows and 52 columns. An observation vector at a particular time instant is given by

 x = [XMEAS(1), XMEAS(2), ..., XMEAS(41), XMV(1), ..., XMV(11)]^T

where XMEAS(n)is the n-th measured variable and XMV(n) is the n-th manipulated variable.

temain.f

Main program for demonstrating application of the Tennessee Eastman Process Control Test Problem.

James J. Downs and Ernest F. Vogel

Process and Control Systems Engineering

Tennessee Eastman Company

P.O. Box 511

Kingsport, TN 37662

Reference

• A Plant-Wide Industrial Process Control Problem, Presented at the AIChE 1990 Annual Meeting Industrial Challenge Problems in Process Control, Paper #24a. Chicago, Illinois, November 14, 1990.
• A Plant-Wide Industrial Process Control Problem, Computers and Chemical Engineering, Vol. 17, No. 3, pp. 245-255 (1993).

temain_mod.f

Main program for demonstrating application of the modified Tennessee Eastman Process Control Test Problem.

This new version is a closed-loop plant-wide control scheme for the Tennessee Eastman Process Control Test Problem. The modifications are by:

Evan L. Russell, Leo H. Chiang and Richard D. Braatz

Large Scale Systems Research Laboratory

Department of Chemical Engineering

University of Illinois at Urbana-Champaign

600 South Mathews Avenue, Box C-3

Urbana, Illinois 61801

http://brahms.scs.uiuc.edu

Original codes of the Tennessee Eastman Process Control Test Problem written by:

James J. Downs and Ernest F. Vogel

Process and Control Systems Engineering

Tennessee Eastman Company

P.O. Box 511

Kingsport, Tennessee 37662

License

The modified text is Copyright 1998-2002 by The Board of Trustees of the University of Illinois. All rights reserved.

Permission hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal with the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimers.
2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimers in the documentation and/or other materials provided with the distribution.
3. Neither the names of Large Scale Research Systems Laboratory, University of Illinois, nor the names of its contributors may be used to endorse or promote products derived from this Software without specific prior written permission.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE CONTRIBUTORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Users should cite the original code using the following references:

• J.J. Downs and E.F. Vogel, A plant-wide industrial process control problem. Presented at the AIChE 1990 Annual Meeting, Session on Industrial Challenge Problems in Process Control, Paper #24a Chicago, Illinois, November 14, 1990.
• J.J. Downs and E.F. Vogel, A plant-wide industrial process control problem, Computers and Chemical Engineering, 17:245-255 (1993).

Users should cite the modified code using the following references:

• E.L. Russell, L.H. Chiang, and R.D. Braatz. Data-driven Techniques for Fault Detection and Diagnosis in Chemical Processes, Springer-Verlag, London, 2000.
• L.H. Chiang, E.L. Russell, and R.D. Braatz. Fault Detection and Diagnosis in Industrial Systems, Springer-Verlag, London, 2001.
• L.H. Chiang, E.L. Russell, and R.D. Braatz. Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis, Chemometrics and Intelligent Laboratory Systems, 50:243-252, 2000.
• E.L. Russell, L.H. Chiang, and R.D. Braatz. Fault detection in industrial processes using canonical variate analysis and dynamic principal component analysis, Chemometrics and Intelligent Laboratory Systems, 51:81-93, 2000.

Instructions for running the program

1. Go to line 220, change NPTS to the number of data points to simulate. For each minute of operation, 60 points are generated.

2. Go to line 226, change SSPTS to the number of data points to simulate in steady state operation before implementing the disturbance.

3. Go to line 367, implement any of the 21 programmed disturbances. For example, to implement disturbance 2, type IDV(2)=1.

4. The program will generate 15 output files and all data are recorded every 180 seconds, see Table 1 for details.

   The default path is the home directory. To change the file name and path, modify lines 346-360 accordingly.

   To overwrite the files that already existed, change STATUS='new' to STATUS='old' from lines 346-360.

   Table 1: Content of the output files

   #	File Name	Content
   1	TE_data_inc.dat	Time (in seconds)
   2	TE_data_mv1.dat	Measurements for manipulated variables 1 to 4
   3	TE_data_mv2.dat	Measurements for manipulated variables 5 to 8
   4	TE_data_mv3.dat	Measurements for manipulated variables 9 to 12
   5	TE_data_me01.dat	Measurements for measurement variables 1 to 4
   6	TE_data_me02.dat	Measurements for measurement variables 5 to 8
   7	TE_data_me03.dat	Measurements for measurement variables 9 to 12
   8	TE_data_me04.dat	Measurements for measurement variables 13 to 16
   9	TE_data_me05.dat	Measurements for measurement variables 17 to 20
   10	TE_data_me06.dat	Measurements for measurement variables 21 to 24
   11	TE_data_me07.dat	Measurements for measurement variables 25 to 28
   12	TE_data_me08.dat	Measurements for measurement variables 29 to 32
   13	TE_data_me09.dat	Measurements for measurement variables 33 to 36
   14	TE_data_me10.dat	Measurements for measurement variables 37 to 40
   15	TE_data_me11.dat	Measurements for measurement variable 41

5. To ensure the randomness of the measurement noises, the random number G in the sub program (teprob.f, line 1187) has to be changed each time before running temain_mod.f.

6. Save the changes in temain_mod.f and teprob.f and compile the program in unix by typing

     f77 temain_mod.f teprob.f

7. Run the program by typing

     a.out

teprob.f

Revised 4-4-91 to correct error in documentation of manipulated variables

Tennessee Eastman Process Control Test Problem

James J. Downs and Ernest F. Vogel

Process and Control Systems Engineering

Tennessee Eastman Company

P.O. Box 511

Kingsport, TN 37662

Reference

• A Plant-Wide Industrial Process Control Problem". Presented at the AIChE 1990 Annual Meeting Industrial Challenge Problems in Process Control, Paper #24a Chicago, Illinois, November 14, 1990.

Subroutines

• TEFUNC - Function evaluator to be called by integrator
• TEINIT - Initialization
• TESUBi - Utility subroutines ($i = 1, 2, ..., 8$)

The process simulation has 50 states (NN=50).

If the user wishes to integrate additional states, NN must be increased accordingly in the calling program.

The additional states should be appended to the end of the YY vector, e.g. YY(51), .... The additional derivatives should be appended to the end of the YP vector, e.g. YP(51),....

To initialize the new states and to calculate derivatives for them, we suggest creating new function evaluator and initialization routines as follows.

C-----------------------------------------------
C
      SUBROUTINE FUNC(NN,TIME,YY,YP)
C
      INTEGER NN
      DOUBLE PRECISION TIME, YY(NN), YP(NN)
C
C  Call the function evaluator for the process
C
      CALL TEFUNC(NN,TIME,YY,YP)
C
C  Calculate derivatives for additional states
C
      YP(51) = ....
      YP(52) = ....
         .
         .
         .
      YP(NN) = ....
C
      RETURN
      END
C
C-----------------------------------------------
C
      SUBROUTINE INIT(NN,TIME,YY,YP)
C
      INTEGER NN
      DOUBLE PRECISION TIME, YY(NN), YP(NN)
C
C  Call the initialization for the process
C
      CALL TEINIT(NN,TIME,YY,YP)
C
C  Initialize additional states
C
      YY(51) = ....
      YY(52) = ....
         .
         .
         .
      YY(NN) = ....
C
      RETURN
      END
C
C-----------------------------------------------

Differences between the code and its description in the paper:

1. Subroutine TEINIT has TIME in the argument list. TEINIT sets TIME to zero.
2. There are 8 utility subroutines (TESUBi) rather than 5.
3. Process disturbances 14 through 20 do NOT need to be used in conjunction with another disturbance as stated in the paper. All disturbances can be used alone or in any combination.

Manipulated Variables

Continuous Process Measurements

Sampled Process Measurements

• Reactor Feed Analysis (Stream 6)

  • Sampling Frequency = 0.1 hr
  • Dead Time = 0.1 hr
  • Mole %

  Variable	Description
  XMEAS(23)	Component A
  XMEAS(24)	Component B
  XMEAS(25)	Component C
  XMEAS(26)	Component D
  XMEAS(27)	Component E
  XMEAS(28)	Component F

• Purge Gas Analysis (Stream 9)

  • Sampling Frequency = 0.1 hr
  • Dead Time = 0.1 hr
  • Mole %

  Variable	Description
  XMEAS(29)	Component A
  XMEAS(30)	Component B
  XMEAS(31)	Component C
  XMEAS(32)	Component D
  XMEAS(33)	Component E
  XMEAS(34)	Component F
  XMEAS(35)	Component G
  XMEAS(36)	Component H

• Product Analysis (Stream 11)

  • Sampling Frequency = 0.25 hr
  • Dead Time = 0.25 hr
  • Mole %

  Variable	Description
  XMEAS(37)	Component D
  XMEAS(38)	Component E
  XMEAS(39)	Component F
  XMEAS(40)	Component G
  XMEAS(41)	Component H

Process Disturbances