mmme2046 notes on control 2 lecture

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@ -3,9 +3,18 @@ author: Akbar Rahman
date: \today date: \today
title: MMME2046 // Control title: MMME2046 // Control
tags: [ mmme2046, uon, uni, control ] tags: [ mmme2046, uon, uni, control ]
uuid: uuid: 73e04dd2-ee4c-4952-a9b7-7df3930d2d2d
lecture_slides: ./lecture_slides/Control 2 2022.pdf
--- ---
# Lecture Slides Corrections
## p26
First line should be
$$C(s) = \frac{5}{s(s+5)} = \frac 1s \frac{1}{1+0.2s}$$
# System and Block Diagrams # System and Block Diagrams
# Laplace Transform # Laplace Transform
@ -48,3 +57,39 @@ Taking the inverse gives:
$$X_0 = 1 - e^{-at}$$ $$X_0 = 1 - e^{-at}$$
# Non-Linearity
Sometimes, components of a system will not reduce to a simple linear relationship.
When this is the case superposition and Laplace transforms do not apply/are not valid.
Reasons for this include:
- saturation
![](./images/vimscrot-2023-02-06T16:10:06,638264779+00:00.png)
- backlash
![](./images/vimscrot-2023-02-06T16:10:23,750576923+00:00.png)
- clearance
![](./images/vimscrot-2023-02-06T16:10:39,624151288+00:00.png)
- coulomb friction
![](./images/vimscrot-2023-02-06T16:10:55,163385436+00:00.png)
- material non-linearity
![](./images/vimscrot-2023-02-06T16:11:17,999306580+00:00.png)
- flow through an orifice (choked flow)
![](./images/vimscrot-2023-02-06T16:11:34,160399051+00:00.png)
## Linearisation
System behaviour is approximated to a linear relationship near the "nominal" operating point:
![](./images/vimscrot-2023-02-06T16:13:20,353784072+00:00.png)

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---
author: Akbar Rahman
date: \today
title: MMME2046 // Hydraulic Position Control System
tags: []
uuid: 0007f41b-73e0-4e3f-987b-42cde198dbcf
lecture_slides: ./lecture_slides/Control 2 2022.pdf
---
This system allows for a great amplification of force, whilst still allowing for manual override in
the case of power failure.
It can also be adapted to angular displacements using a rack and pinion.
![](./images/vimscrot-2023-02-06T16:20:17,316986199+00:00.png)
1. Operator changes setting ($x_i$), Piston ($x_o$) is fulcrum
2. Spool valve lets fluid into cylinder
![](./images/vimscrot-2023-02-06T16:25:06,170856014+00:00.png)
3. $x_i$ becomes fulcrum and piston moves until valve closes
![](./images/vimscrot-2023-02-06T16:26:16,876441767+00:00.png)

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---
author: Akbar Rahman
date: \today
title: MMME2046 // Stability
tags: []
uuid: 2b0062f7-cc8a-4e52-8e12-1eb731e056af
lecture_slides: ./lecture_slides/Control 2 2022.pdf
---
# Introduction to Transient and Steady-State Responses
![](./images/vimscrot-2023-02-06T17:03:18,594676084+00:00.png)
A stable system settles.
An unstable system has increasing amplitude in its fluctuations.
The steady-state error is how accurate a system will be once settled.
If we subject control systems to standard input we can compare and tune their performance.
Consider three inputs:
i. step input
ii. ramp input (linear change with time)
iii. harmonic input (considered in vibration)
These inputs are useful because they
- are easily to apply in practice
- approximate to operating conditions in control systems
![](./images/vimscrot-2023-02-06T17:10:11,891784480+00:00.png)
# Practical Measurement of Transient Response
![](./images/vimscrot-2023-02-06T17:10:48,755879402+00:00.png)
a. maximum overshoot
b. number of oscillations
c. rise time
d. settling time
e. steady state error