## American Institute of Chemical Engineers Symposium SeriesAmerican Institute of Chemical Engineers, 1997 - Chemical engineering |

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Page 54

excursions at low pH values were felt to be a major contributing factor to the

maintenance problems. Additionally, it was determined that significant deviations

at either ...

**Figure**10. Overview of industrial pH process. sured pH value. Prolongedexcursions at low pH values were felt to be a major contributing factor to the

maintenance problems. Additionally, it was determined that significant deviations

at either ...

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American Institute of Chemical Engineers, Jeffrey C. Kantor, Carlos E. García,

Brice Carnahan. |pH«p Nonlinear

principles. Where practical, i.e. for lime, chemical equilibria information is directly

included.

American Institute of Chemical Engineers, Jeffrey C. Kantor, Carlos E. García,

Brice Carnahan. |pH«p Nonlinear

**Figure**13. Complete control structure.principles. Where practical, i.e. for lime, chemical equilibria information is directly

included.

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Probe in Vessel A, Downstream Probe -+- 40 60 Time (nin) 100

response with coated probe. 20 40 60 80 Tine (nin) too

set point, and valve position corresponding to

J ...

Probe in Vessel A, Downstream Probe -+- 40 60 Time (nin) 100

**Figure**15. pHresponse with coated probe. 20 40 60 80 Tine (nin) too

**Figure**16. Lime flow, flowset point, and valve position corresponding to

**Figure**15. 20 T _, 18-- i. « i 0 1 1 »-J ...

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### Contents

Control Technology Challenges for the Future | 1 |

Predictive Control | 5 |

Adaptive and Nonlinear Control Fact or Fantasy? | 9 |

Copyright | |

22 other sections not shown

### Common terms and phrases

adaptive control AIChE algorithm analysis analytical applications approach auto-correlation batch behavior changes Chem Chemical Engineering chemical process chip closed-loop constraints continuous control problems control system controller design defined developed discrete disturbance dynamic equations estimation example feedback control Figure filter finite Grafcet horizon hybrid systems identification IEEE implementation input linear control loop manufacturing matrix measurement methods model predictive control monitoring Morari multivariable neural networks nonlinear control nonlinear model nonlinear systems on-line operating optimal control output error paper machine parameter performance Petri nets PID controllers plant Proc process control process model programming Pulp and Paper quadratic quadratic program Rawlings reactor response robust control scheduling sensors sequence set point significant simulation solution solved specifications stability step structure synthesis TAPPI Press techniques temperature theory tion trajectory transfer function trend trol uncertainty valve variables vector wafer