In the figure, are the two processes described by G1 and G2 interacting processes? Why or why not?

Introduction to Chemical Engineering Thermodynamics
8th Edition
ISBN:9781259696527
Author:J.M. Smith Termodinamica en ingenieria quimica, Hendrick C Van Ness, Michael Abbott, Mark Swihart
Publisher:J.M. Smith Termodinamica en ingenieria quimica, Hendrick C Van Ness, Michael Abbott, Mark Swihart
Chapter1: Introduction
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**Title: Interaction of Processes in Control Systems**

**Question:**

6. In the figure, are the two processes described by \( G_1 \) and \( G_2 \) interacting processes? Why or why not?

**Description:**

This is a block diagram illustrating the interaction between control processes. The system features:

- **Block \( G_1(s) \):** 
  \[
  G_1(s) = \frac{K_1}{\tau_1 s + 1}
  \]
  Input: \( U_1(s) \) 
  Output: \( Y_1(s) \)

- **Block \( G_2(s) \):** 
  \[
  G_2(s) = \frac{K_2}{s}
  \]
  Input: \( U_2(s) \) 
  Output: \( Y_2(s) \)

- **Block \( G_3(s) \):** 
  \[
  G_3(s) = \frac{K_3}{\tau_2^2 s^2 + 2\zeta \tau_2 s + 1}
  \]
  Input: \( U_3(s) \) 
  Output contributes to \( Y_2(s) \)

- The final output, \( Y_f(s) \), is the sum of \( Y_1(s) \) and \( Y_2(s) \):
  \[
  Y_f = Y_1 + Y_2
  \]

**Analysis:**

To determine if the processes are interacting, we consider how the outputs \( Y_1(s) \) and \( Y_2(s) \) are generated. If \( G_1 \) and \( G_2 \) operate independently with no mutual influence, they are non-interacting processes. If some parameters or outputs of one process affect the other, they are interacting processes. In this diagram, \( G_1(s) \) and \( G_2(s) \) are arranged in parallel and supply signals directly to the summation point without affecting each other internally, indicating no interaction at this level.
Transcribed Image Text:**Title: Interaction of Processes in Control Systems** **Question:** 6. In the figure, are the two processes described by \( G_1 \) and \( G_2 \) interacting processes? Why or why not? **Description:** This is a block diagram illustrating the interaction between control processes. The system features: - **Block \( G_1(s) \):** \[ G_1(s) = \frac{K_1}{\tau_1 s + 1} \] Input: \( U_1(s) \) Output: \( Y_1(s) \) - **Block \( G_2(s) \):** \[ G_2(s) = \frac{K_2}{s} \] Input: \( U_2(s) \) Output: \( Y_2(s) \) - **Block \( G_3(s) \):** \[ G_3(s) = \frac{K_3}{\tau_2^2 s^2 + 2\zeta \tau_2 s + 1} \] Input: \( U_3(s) \) Output contributes to \( Y_2(s) \) - The final output, \( Y_f(s) \), is the sum of \( Y_1(s) \) and \( Y_2(s) \): \[ Y_f = Y_1 + Y_2 \] **Analysis:** To determine if the processes are interacting, we consider how the outputs \( Y_1(s) \) and \( Y_2(s) \) are generated. If \( G_1 \) and \( G_2 \) operate independently with no mutual influence, they are non-interacting processes. If some parameters or outputs of one process affect the other, they are interacting processes. In this diagram, \( G_1(s) \) and \( G_2(s) \) are arranged in parallel and supply signals directly to the summation point without affecting each other internally, indicating no interaction at this level.
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