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Illustrations 
CONTROL SYSTEMS 
• 1st lecture 
• Class Code: ME-2011A 
• Engr:M Irfan khan
Course Synopsis 
• Provide YOU a background of control principles 
in various engineering applications. 
• Basic mathematical tools such as Laplace 
transform, transfer function, block diagram, signal 
flow graph, mathematical modeling of dynamic 
systems, time response analysis, stability of linear 
system, root locus and frequency domain analysis 
are utilization. 
Illustrations
Illustrations 
System – 
An interconnection of elements and devices for a desired purpose. 
Control System – 
An interconnection of components forming a system configuration that will 
provide a desired response. 
Process – 
The device, plant, or system under 
control. The input and output 
relationship represents the cause-and-effect 
relationship of the process.
• The interaction is defined in terms of variables. 
Illustrations 
i. System input 
ii. System output 
iii. Environmental disturbances
Control System 
• Control is the process of causing a system variable to conform 
Illustrations 
to some desired value. 
• Manual control Automatic control (involving machines 
only). 
• A control system is an interconnection of components forming 
a system configuration that will provide a desired system 
response. 
Control 
System 
Output 
Signal 
Input 
Signal 
Energy 
Source
Illustrations 
Open-Loop Control Systems 
utilize a controller or control 
actuator to obtain the desired 
response. 
Closed-Loop Control 
Systems utilizes feedback to 
compare the actual output to 
the desired output response. 
Multivariable Control System
Control System Classification 
Illustrations 
Missile Launcher System 
Open-Loop Control System
Control System Classification 
Illustrations 
Missile Launcher System 
Closed-Loop Feedback Control System
Manual Vs Automatic Control 
• Control is a process of causing a system variable such as 
Illustrations 
temperature or position to conform to some desired value or 
trajectory, called reference value or trajectory. 
• For example, driving a car implies controlling the vehicle to 
follow the desired path to arrive safely at a planned destination. 
i. If you are driving the car yourself, you are performing manual control of 
the car. 
ii. If you use design a machine, or use a computer to do it, then you have 
built an automatic control system.
Control System Classification 
Illustrations 
Desired 
Output 
Respons 
e 
Measurement 
Output 
Variable 
s 
Controller Process 
Multi Input Multi Output (MIMO) System
Purpose of Control Systems 
i. Power Amplification (Gain) 
Illustrations 
– Positioning of a large radar antenna by low-power rotation of a 
knob 
ii. Remote Control 
– Robotic arm used to pick up radioactive materials 
iii. Convenience of Input Form 
– Changing room temperature by thermostat position 
iv. Compensation for Disturbances 
– Controlling antenna position in the presence of large wind 
disturbance torque
Historical Developments 
i. Ancient Greece (1 to 300 BC) 
Illustrations 
– Water float regulation, water clock, automatic oil lamp 
ii. Cornellis Drebbel (17th century) 
– Temperature control 
iii. James Watt (18th century) 
– Flyball governor 
iv. Late 19th to mid 20th century 
– Modern control theory
Watt’s Fly ball Governor 
Illustrations
Human System 
i. Pancreas 
Illustrations 
 Regulates blood glucose level 
ii. Adrenaline 
 Automatically generated to increase the heart rate and oxygen in 
times of flight 
iii. Eye 
 Follow moving object 
iv. Hand 
 Pick up an object and place it at a predetermined location 
v. Temperature 
 Regulated temperature of 36°C to 37°C
Illustrations 
History 
18th Century James Watt’s centrifugal governor for the speed control of a steam 
engine. 
1920s Minorsky worked on automatic controllers for steering ships. 
1930s Nyquist developed a method for analyzing the stability of controlled systems 
1940s Frequency response methods made it possible to design linear closed-loop 
control systems 
1950s Root-locus method due to Evans was fully developed 
1960s State space methods, optimal control, adaptive control and 
1980s Learning controls are begun to investigated and developed. 
Present and on-going research fields. Recent application of modern control theory 
includes such non-engineering systems such as biological, biomedical, economic and 
socio-economic systems 
???????????????????????????????????
Control System Components 
i. System, plant or process 
Illustrations 
– To be controlled 
ii. Actuators 
– Converts the control signal to a power signal 
iii. Sensors 
– Provides measurement of the system output 
iv. Reference input 
– Represents the desired output
General Control System 
Illustrations 
+ 
+ Controller Actuator + Process 
Sensor 
Set-point 
or 
Reference 
input 
Actual 
Output 
Error 
Controlle 
d Signal 
Disturbance 
Manipulate 
d Variable 
Feedback Signal 
+ 
- 
+
Control System Design Process 
Illustrations 
1. Establish control goals 
2. Identify the variables to control 
3. Write the specifications for the variables 
4. Establish the system configuration and identify the actuator 
5. Obtain a model of the process, the actuator and the sensor 
6. Describe a controller and select key parameters to be adjusted 
7. Optimize the parameters and analyze the performance 
If the performance meet the specifications, then finalize design 
If the performance 
does not meet 
specifications, then 
iterate the 
configuration and 
actuator
Illustrations 
(a) Automobile 
steering control 
system. 
(b) The driver uses 
the difference 
between the actual 
and the desired 
direction of travel 
to generate a 
controlled adjustment 
of the steering wheel. 
(c) Typical direction-of- 
travel response. 
Examples of Modern Control Systems
Illustrations 
Examples of Modern Control Systems
Illustrations 
Examples of Modern Control Systems
Illustrations 
Examples of Modern Control Systems
Illustrations 
Examples of Modern Control Systems
Illustrations 
Examples of Modern Control Systems
Illustrations 
Examples of Modern Control Systems
Illustrations 
The Future of Control Systems
Illustrations 
The Future of Control Systems
Illustrations 
Design Example
Illustrations 
Design Example
Illustrations 
Sequential Design Example
Illustrations
Illustrations 
Sequential Design Example
Illustrations 
Thanks 
The End

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Control system lectures

  • 1. Illustrations CONTROL SYSTEMS • 1st lecture • Class Code: ME-2011A • Engr:M Irfan khan
  • 2. Course Synopsis • Provide YOU a background of control principles in various engineering applications. • Basic mathematical tools such as Laplace transform, transfer function, block diagram, signal flow graph, mathematical modeling of dynamic systems, time response analysis, stability of linear system, root locus and frequency domain analysis are utilization. Illustrations
  • 3. Illustrations System – An interconnection of elements and devices for a desired purpose. Control System – An interconnection of components forming a system configuration that will provide a desired response. Process – The device, plant, or system under control. The input and output relationship represents the cause-and-effect relationship of the process.
  • 4. • The interaction is defined in terms of variables. Illustrations i. System input ii. System output iii. Environmental disturbances
  • 5. Control System • Control is the process of causing a system variable to conform Illustrations to some desired value. • Manual control Automatic control (involving machines only). • A control system is an interconnection of components forming a system configuration that will provide a desired system response. Control System Output Signal Input Signal Energy Source
  • 6. Illustrations Open-Loop Control Systems utilize a controller or control actuator to obtain the desired response. Closed-Loop Control Systems utilizes feedback to compare the actual output to the desired output response. Multivariable Control System
  • 7. Control System Classification Illustrations Missile Launcher System Open-Loop Control System
  • 8. Control System Classification Illustrations Missile Launcher System Closed-Loop Feedback Control System
  • 9. Manual Vs Automatic Control • Control is a process of causing a system variable such as Illustrations temperature or position to conform to some desired value or trajectory, called reference value or trajectory. • For example, driving a car implies controlling the vehicle to follow the desired path to arrive safely at a planned destination. i. If you are driving the car yourself, you are performing manual control of the car. ii. If you use design a machine, or use a computer to do it, then you have built an automatic control system.
  • 10. Control System Classification Illustrations Desired Output Respons e Measurement Output Variable s Controller Process Multi Input Multi Output (MIMO) System
  • 11. Purpose of Control Systems i. Power Amplification (Gain) Illustrations – Positioning of a large radar antenna by low-power rotation of a knob ii. Remote Control – Robotic arm used to pick up radioactive materials iii. Convenience of Input Form – Changing room temperature by thermostat position iv. Compensation for Disturbances – Controlling antenna position in the presence of large wind disturbance torque
  • 12. Historical Developments i. Ancient Greece (1 to 300 BC) Illustrations – Water float regulation, water clock, automatic oil lamp ii. Cornellis Drebbel (17th century) – Temperature control iii. James Watt (18th century) – Flyball governor iv. Late 19th to mid 20th century – Modern control theory
  • 13. Watt’s Fly ball Governor Illustrations
  • 14. Human System i. Pancreas Illustrations  Regulates blood glucose level ii. Adrenaline  Automatically generated to increase the heart rate and oxygen in times of flight iii. Eye  Follow moving object iv. Hand  Pick up an object and place it at a predetermined location v. Temperature  Regulated temperature of 36°C to 37°C
  • 15. Illustrations History 18th Century James Watt’s centrifugal governor for the speed control of a steam engine. 1920s Minorsky worked on automatic controllers for steering ships. 1930s Nyquist developed a method for analyzing the stability of controlled systems 1940s Frequency response methods made it possible to design linear closed-loop control systems 1950s Root-locus method due to Evans was fully developed 1960s State space methods, optimal control, adaptive control and 1980s Learning controls are begun to investigated and developed. Present and on-going research fields. Recent application of modern control theory includes such non-engineering systems such as biological, biomedical, economic and socio-economic systems ???????????????????????????????????
  • 16. Control System Components i. System, plant or process Illustrations – To be controlled ii. Actuators – Converts the control signal to a power signal iii. Sensors – Provides measurement of the system output iv. Reference input – Represents the desired output
  • 17. General Control System Illustrations + + Controller Actuator + Process Sensor Set-point or Reference input Actual Output Error Controlle d Signal Disturbance Manipulate d Variable Feedback Signal + - +
  • 18. Control System Design Process Illustrations 1. Establish control goals 2. Identify the variables to control 3. Write the specifications for the variables 4. Establish the system configuration and identify the actuator 5. Obtain a model of the process, the actuator and the sensor 6. Describe a controller and select key parameters to be adjusted 7. Optimize the parameters and analyze the performance If the performance meet the specifications, then finalize design If the performance does not meet specifications, then iterate the configuration and actuator
  • 19. Illustrations (a) Automobile steering control system. (b) The driver uses the difference between the actual and the desired direction of travel to generate a controlled adjustment of the steering wheel. (c) Typical direction-of- travel response. Examples of Modern Control Systems
  • 20. Illustrations Examples of Modern Control Systems
  • 21. Illustrations Examples of Modern Control Systems
  • 22. Illustrations Examples of Modern Control Systems
  • 23. Illustrations Examples of Modern Control Systems
  • 24. Illustrations Examples of Modern Control Systems
  • 25. Illustrations Examples of Modern Control Systems
  • 26. Illustrations The Future of Control Systems
  • 27. Illustrations The Future of Control Systems