Modern Control Systems and Applications

8/13/2019 Modern Control Systems and Applications

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MODERN CONTROL

SYSTEMS AND

APPLICATIONS

NORHAYATI BINTI GHAZALI (1017806)

NURSHUHADA BINTI ZUKEFLI (1016240)

Supervisor:

DR HASMAH MANSOR


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HISTORY

1769-steam engine &

governor

1868Mathematical

model for

governor control

1927-feedback

amplifier

1960-first unimate

robot

1980-robust control

system

1997

-Sojourner

1998-2003

-first intelligent

micromachine


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GENERAL CONCEPT

A control systemis an interconnection of components forming a

system configuration that will provide a desired system response.

Input Process Output


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OPEN AND CLOSED LOOP CONTROL

SYSTEM

An open-loopcontrol system utilizes an actuating device tocontrol the process directly and obtain the desired response

without using feedback.

A closed-loop control system uses a measurement of the output

and feedback of this signal to compare it with the desired output.


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MULTIVARIABLE CONTROL SYSTEM

as the systems become more complex, the interrelationship ofmany input variables must be considered in the control scheme,

that result in a multivariable control system(MIMO system).


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MODERN CONTROL SYSTEMS

Maximizing production

Minimizing costs

Improving quality

Flexible

Can be easily adapted to meet the specific requirements.


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TYPES OF MODERN CONTROL

SYSTEMS

INTELLIGENT CONTROL SYSTEMS

A discipline where control methods are developed to emulate important

characteristics of human intelligence

1. Adaption and learning

2. Planning under large uncertainty

3. Coping with large amounts of data

It uses theories from mathematics and seeks inspiration and ideas from

biological systems.

Concepts and algorithms developed in the areas of adaptive control and

machine learning help intelligent controllers to adapt and learn.


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Characteristics or Dimensions of Intelligent

Control

Adaptation and Learning: The ability to adapt in changing

conditions is necessary in an intelligent system.

Autonomy and Intelligence: Autonomy in setting and achievinggoals is an important characteristic of intelligent control

systems.

Structures and Hierarchies: In order to cope with complexity,

an intelligent system must have an appropriate functionalarchitecture or structure for efficient analysis and evaluation of

control strategies.


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EXAMPLE OF INTELLIGENT CONTROLS

Fuzzy control systems

A fuzzy control system is a control system based on fuzzy logic which is a

mathematical system that analyzes analog input values in terms of logical

variables .

Take on continuous values between 0 and 1.

Fuzzy controllers are very simple conceptually.

IF brake temperature IS warm AND speed IS not veryfast THEN brake pressure IS slightly decreased.


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APPLICATIONS OF MODERNCONTROL SYSTEMS


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1.TEMPERATURE CONTROL

SYSTEM


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2. LIQUID LEVEL CONTROL

SYSTEM


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3. OVEN


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4. REFRIGERATOR


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CONCLUSION

The modern control system has enhanced the management

of production, cost and quality by providing high reliability,

system flexibility and equipment operating data, all of which

were goals for the modern control system.


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Modern Control Systems and Applications

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