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Lecture Notes 41

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September 06, 2013, at 08:54 AM by 69.169.131.210 -
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Relate each problem in the context of the [[Main/CourseCompetencies | overall course objectives]].
to:
Relate each problem in the context of the [[Main/CourseCompetencies | overall course objectives]].

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[[Attach:sp16.zip | Special Problem 16 Script Files]]

For Special Problem 16, Python 2.7 is required to run the simulations.  It is available for free download from the [[http://www.python.org/getit/releases/2.7/ | Python web-site]].  To run the simulations, double-click on the appropriate python script.  A web-page will open to allow you to view the solution.
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# Assignment due by the start of Lecture #42: [[Attach:sp16.pdf | SP16]]
to:
# Assignment due by the start of Lecture #42: [[Main/LabGroups | Lab Project]] and [[Attach:sp16.pdf | SP16]]
Changed lines 4-9 from:
Empirical model fitting of a Multiple Input Multiple Output (MIMO) System
Relative Gain Array (RGA) analysis to determine best pairing of Manipulated and Controlled Variables
Simulate distillation column with PID Non-interacting controllers
Simulate distillation column with PID Interacting Controllers with Feedforward information from other controllers
Derivation of First Principles model
Nonlinear Control (NLC)
to:

*
Empirical model fitting of a Multiple Input Multiple Output (MIMO) System
* Relative Gain Array (RGA) analysis to determine best pairing of Manipulated and Controlled Variables
* Simulate distillation column with PID Non-interacting controllers
* Simulate distillation column with PID Interacting Controllers with Feedforward information from other controllers
* Derivation of First Principles model
* Nonlinear Control (NLC)
Added lines 1-20:
!!! Lecture 41 - Distillation Control

A distillation column is typically a highly coupled system that leads to multiple interacting controllers.  Techniques from this class that are useful for designing the control system are:
• Empirical model fitting of a Multiple Input Multiple Output (MIMO) System
• Relative Gain Array (RGA) analysis to determine best pairing of Manipulated and Controlled Variables
• Simulate distillation column with PID Non-interacting controllers
• Simulate distillation column with PID Interacting Controllers with Feedforward information from other controllers
• Derivation of First Principles model
• Nonlinear Control (NLC)

* %list list-page% [[Attach:Lecture41_notes.pdf | Lecture 41 Notes]]

The distillation column example uses both empirical and first principles approaches to address controller interaction.  With the empirical approach, PID controller tuning is derived.  With a first principles model, a nonlinear control can improve the disturbance rejection and set point tracking capabilities.

!!!! Homework

# Course reading for next class: Review course material
# Assignment due by the start of Lecture #42: [[Attach:sp16.pdf | SP16]]

Relate each problem in the context of the [[Main/CourseCompetencies | overall course objectives]].