CONTROL SYSTEMS
Introduction
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.
Introduction
Multivariable Control System
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.
January 11, 2005
4
Example : Insect Flight (Biological system)
• More information:
– M. D. Dickinson, Solving the mystery
of insect flight, Scientific American,
June 2001.
ACTUATION
two wings
(di-ptera)
specialized
“power”
muscles
SENSING
neural
superposition
eyes
hind wing
gyroscopes
(halteres)
COMPUTATION
~500,000 neurons
5
Control = Sensing + Computation + Actuation
Sense
Vehicle Speed
Compute
Control “Law”
Actuate
Gas Pedal
In Feedback “Loop”
• Goals
– Stability: system maintains desired operating point (hold steady speed)
– Performance: system responds rapidly to changes (accelerate to 65 mph)
– Robustness: system tolerates perturbations in dynamics (mass, drag, etc)
Closed-loop feedback system with external disturbances and measurement noise
Typical Control Systems Block diagram
Examples of Modern Control Systems
Water-level float regulator
Examples of Modern Control Systems
Examples of Modern Control Systems
11
EXAMPLE : Coordinated Control of Unmanned Systems
Modern Engineering Applications of Control
• Flight Control Systems
– Modern commercial and military
aircraft are “fly by wire”
– Autoland systems, unmanned
aerial vehicles (UAVs) are already
in place
• Robotics
– High accuracy positioning for
flexible manufacturing
– Remote environments: space,
sea, non-invasive surgery, etc.
• Chemical Process Control
– Regulation of flow rates,
temperature, concentrations,
etc.
– Long time scales, but only crude
models of process
• Communications and Networks
– Amplifiers and repeaters
– Congestion control of the
Internet
– Power management for wireless
communications
• Automotive
– Engine control, transmission
control, cruise control, climate
control, etc
– Luxury sedans: 12 control
devices in 1976, 42 in 1988, 67 in
1991
• AND MANY MORE...
The Internet: Largest feedback system built by man
IP
Web FTP Mail News Video Audio ping napster
Applications
TCP SCTP UDP ICMP
Transport protocols
Ethernet 802.11 Satellite
Optical
Power lines Bluetooth
ATM
Link technologies
Examples of Modern Control Systems
Examples of Modern Control Systems
Examples of Modern Control Systems
Control System Design
Design Example
Design Example
Design Example
Design Example
Design Example Insulin delivery control system
Design Example
Antenna Azimuth: An Introduction to Position
Control Systems
Antenna Azimuth: An Introduction to Position
Control Systems
References
Dorf R. C. and Bishop R. H, “Modern control systems”,
Addison-Wesley Longman Inc., Eighth Edition, Indian
reprint, 1999
Norman Nise, “Control System Engineering”, John Wiley &
Sons, Inc., Sixth Edition, 2011.

Control System - 01.ppt

  • 1.
  • 2.
    Introduction System – Aninterconnection 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.
  • 3.
    Introduction Multivariable Control System Open-LoopControl 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.
  • 4.
    January 11, 2005 4 Example: Insect Flight (Biological system) • More information: – M. D. Dickinson, Solving the mystery of insect flight, Scientific American, June 2001. ACTUATION two wings (di-ptera) specialized “power” muscles SENSING neural superposition eyes hind wing gyroscopes (halteres) COMPUTATION ~500,000 neurons
  • 5.
    5 Control = Sensing+ Computation + Actuation Sense Vehicle Speed Compute Control “Law” Actuate Gas Pedal In Feedback “Loop” • Goals – Stability: system maintains desired operating point (hold steady speed) – Performance: system responds rapidly to changes (accelerate to 65 mph) – Robustness: system tolerates perturbations in dynamics (mass, drag, etc)
  • 6.
    Closed-loop feedback systemwith external disturbances and measurement noise
  • 7.
  • 8.
    Examples of ModernControl Systems Water-level float regulator
  • 9.
    Examples of ModernControl Systems
  • 10.
    Examples of ModernControl Systems
  • 11.
    11 EXAMPLE : CoordinatedControl of Unmanned Systems
  • 12.
    Modern Engineering Applicationsof Control • Flight Control Systems – Modern commercial and military aircraft are “fly by wire” – Autoland systems, unmanned aerial vehicles (UAVs) are already in place • Robotics – High accuracy positioning for flexible manufacturing – Remote environments: space, sea, non-invasive surgery, etc. • Chemical Process Control – Regulation of flow rates, temperature, concentrations, etc. – Long time scales, but only crude models of process • Communications and Networks – Amplifiers and repeaters – Congestion control of the Internet – Power management for wireless communications • Automotive – Engine control, transmission control, cruise control, climate control, etc – Luxury sedans: 12 control devices in 1976, 42 in 1988, 67 in 1991 • AND MANY MORE...
  • 13.
    The Internet: Largestfeedback system built by man IP Web FTP Mail News Video Audio ping napster Applications TCP SCTP UDP ICMP Transport protocols Ethernet 802.11 Satellite Optical Power lines Bluetooth ATM Link technologies
  • 14.
    Examples of ModernControl Systems
  • 15.
    Examples of ModernControl Systems
  • 16.
    Examples of ModernControl Systems
  • 17.
  • 19.
  • 20.
  • 21.
  • 22.
  • 25.
    Design Example Insulindelivery control system
  • 26.
  • 27.
    Antenna Azimuth: AnIntroduction to Position Control Systems
  • 28.
    Antenna Azimuth: AnIntroduction to Position Control Systems
  • 29.
    References Dorf R. C.and Bishop R. H, “Modern control systems”, Addison-Wesley Longman Inc., Eighth Edition, Indian reprint, 1999 Norman Nise, “Control System Engineering”, John Wiley & Sons, Inc., Sixth Edition, 2011.

Editor's Notes