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Automatic Control Theory

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Title: Automatic Control Theory


1
Automatic Control Theory
  • School of Information Science and Engineering,CSU
  • Teacher Yuan Yan
  • auto203_at_mail.csu.edu.cn
  • 8830971(O),8710510(H)
  • 2014?12?2?

2
  • Text Book
  • ??,??????(???),?????????
  • Other Reference Teaching Books
  • John J.DAzzo. Linear Control System Analysis
    and Design (???????????,?4?). ????????? 
  • Richard C. Dorf, Robert H. Bishop. Modern
    Control Systems (Ninth Edition)(?????? ???).
    ???????
  • ???. ??????(???). ???????

3
  • Period
  • Teaching hours 80 hours
  • Experiment 8 hours
  • Total 88 hours
  • Exams
  • Closed exam.
  • Grading
  • Homework 15,
  • Experiments 15,
  • Final exam 70

4
  • By the end of this course, the student should
    be able to
  • Formulate a mathematical model of a given
    physical system in time and Laplace domain.
  • Identify the system order and type.
  • Determine the systems time response due to a
    step, ramp and harmonic input.

5
  • Evaluate the system stability using
    Routh-Hurwitz criterion, root locus and Nyquist
    diagrams.
  • Apply classical control methods such as Bode
    plots, to design closed loop control of the
    system.
  • Apply state space representation of a multiple
    input multiple output (MIMO) system.
  • Design a controller and observer for a MIMO
    system.

6
Chapter 1 Introduction
  • 1.1 Automatic Control
  • 1.2 Open-loop Control System and Closed-loop
    Control System
  • 1.3 Constitute of Feedback Control System
  • 1.4 Classify of Control System

7
1.1 Automatic Control
  • 1?Automatic Control Systems permeate life in all
    advanced societies today. Technological
    developments have made it possible to
  • travel to the moon
  • explore outer space. And
  • the successful operation of space vehicle
  • the space shuttle space station
  • robot
  • industry control, such as the control of
    temperature, pressure, fluid, lever, and so on.

8
  • 2?Some Terminologies
  • A control system-------- A control system is an
    interconnection of components forming a system
    configuration that will provide a desired system
    response.
  • Reference input (Desired output)------Excitation
    applied to a control system from an external
    source. The reference signal produced by the
    reference selector. It is the actual signal input
    to control system.

9
  • Disturbance input-------A disturbance input
    signal to the system that has an unwanted effect
    on the system output.
  • Output (controlled variable )--------The
    quantity that must be maintained at a prescribed
    value, i.e., it must follow the command input
    without responding to disturbance inputs.
  • Feedback-----The output of a system that is
    returned to modify the input.

10
  • Error-----The difference between the input and
    the output.
  • Open-loop control system A system in which the
    output has no effect upon the input signal. 

Feedback element The unit provides the
measurement value for feeding back the output
quantity, or a function of the output, in order
to compare it with the reference.
11
  • Actuating signal (error signal) The signal
    that is the difference between the reference
    input and the feedback signal. It is the input to
    the control unit that causes the output to have
    the desired value.
  • Negative feedback The output signal is feed
    back so that it subtracts from the input signal.

12
  • Closed-loop control system A system in which
    the output has an effect upon the input quantity
    in such a manner as to maintain the desired
    output value. That is, a system that uses a
    measurement of the output and compares it with
    the desired output.

13
  • 3?Control systems are used to achieve
  • (1) increased productivity
  • (2) improved performance of a device or
    system.
  • The control of an industrial process
    (manufacturing, production, and so on) by
    automatic rather than manual means is often
    called automation.
  • Automation is used to improve productivity
    and obtain high-quality products.

14
  • 4?History of automatic control
  • (1) The first automatic feedback contro-ller
    used in an industrial process is generally agreed
    to be James Walts flyball governor, developed in
    1769 for controlling the speed of a steam engine.
    Shown in Fig.1.1.

15
Fig.1.1 James Watts Flyball Governor (1769)
16
  • The all-mechanical device, shown in Fig.1.1,
    measured the speed of the output shaft and
    utilized the movement of the flyball with speed
    to control the valve and therefore the amount of
    steam entering the engine. As the speed
    increases, the ball weights rise and move away
    from the shaft axis, thus closing the valve. The
    flyweights require power from the engine to turn
    and therefore cause the speed measurement to be
    less accurate.

17
  • (2) J.C.Maxwell formulated a mathema-tical
    theory related to control theory using a
    differential equation model of a governor. (1868)
  • (3)Conventional control theory is effectively
    applied to many control design problems,
    especially to SISO systems. Its mathematical
    foundation is the Laplace transform.

18
  • Routh 1884 Hurwitz 1895, algebra stability
    criterion
  • 1932, Nyquist, steady-state frequency-response
    techniques
  • 1927, Bode and Nichols, frequency-response
    analysis
  • 1948, Evans, root-locus theory
  • A.M.Lyapunov, stability theory.

19
  • (4)Modern control theory(1960) is based on state
    variable methods, for the design of
    multiple-input multiple-output(MIMO) systems.
  • Wiener(1949), Optimum design.
  • Bellman(1957), Dynamic programming.
  • Pontryagin(1962), Maxmum principle.
  • Kalman(1960),Controllability and
    observability
  • Kalman and Buey(1961), Combination of optimal
    filter and optimal controller, Linear quadratic
    Gaussian(LQG) control.

20
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21
  • (5)Advanced control theory(1980)
  • Robust theory.(1980s)
  • Intelligent control theory
  • Artificial Neural Networks(ANNS)
  • Fuzzy Control(FC)
  • Expert System(ES).
  • GA, GP, EC, Chaos etc.

RETURN
22
1.2 Open-loop Control System and
Closed-loop Control System
  • 1?A control system is an interconn-ection of
    components forming a system configuration that
    will provide a desired system response.
  • A component of process to be controlled can be
    represented by a block, as shown in Fig.1.2.

23
(Response)
(Stimulus)
Cause (Desired response)
Effect (Actual response)
24
2?An open-loop control system utilizes a
controller or control actuator to obtain the
desired response, as shown in Fig.1.3.
The control action is calculated at the initial
time t0 and then applied to the physical system
over the entire control horizon t0, tf without
modification. The output is not observed.
25
  • An open-loop control system utilizes an
    actuating device to control the process directly
    without using feedback.

Another open-loop control system
26
3?The measure of the output is called the
feedback signal. A simple closed-loop feedback
control system is shown in Fig.1.4 or Fig.1.5.
The advantages and disadvantages of open-loop
control system and closed-loop control
system The examples of closed-loop
system Example 1 Example 2
27
4.Complex control system (ideal control method)
Combine open-loop control with closed-loop
control
RETURN
28
1.3 Constitute of Feedback Control System
  • 1?Constitute of feedback control system
  • Plant Controller
  • Plant(process)The device, plant or system
    under control.
  • Measurement component(Sensor)
  • Comparison component
  • Amplifier
  • Actuating device
  • Compensator

Controller
29
Disturb signal
Compare device
Compensator
amplifier
actuator
plant
controller
structure of general control system
30
  • 2?Analysis of control system

Stability the most important
Performance the transient and steady-state
response performance
Robustness.
31
Stability
32
Transient performance
33
steady-state performance
34
  • 3? Control
  • Control is the design and analysis of
    sensors, actuators, and computational systems
    (analog or digital) to modify the behavior of
    physical systems.

35
  • Typical steps
  • Selection of actuators and sensors
  • Development of a dynamic model of the system to
    be controlled
  • Design of control systems based on the sound
    fundamental principles
  • Implementation of the controller using analog or
    digital electronics

36
  • 4?Design of control system
  • (1) Establish the system 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.

37
RETURN
38
1.4 Classify of Control System
  • 1.The form of systems mathematics model
  • Linear system/ Nonlinear system the dynamic
    equation of system is linear differential
    equation/nonlinear differential equation.
  • A linear system satisfies the principle of
    superposition.

39
  • Time-varying system and time-invariant system
  • Time-varying system is a system for which one or
    more of the parameters of the system may vary as
    a function of time.
  • 2. Reference input
  • r(t)constant
  • r(t)f(t)
  • can be known
  • the vary rule f(t)
  • cannt be known
    servo

40
  • 3. The transfer signal
  • sequence-time system
  • discrete-time system

41
  • Summary
  • In order to design and implement a control
    system, the following essential generic elements
    are required
  • 1) Knowledge of the desired value
  • It is necessary to know what it is you are
    trying to control.

42
2) Knowledge of the output or actual value This
must be measured by a feedback sensor ,again in a
form suitable for the controller to understand.
In additional ,the sensor must have the necessary
resolution and dynamic response ,so that the
measured value has accuracy required from the
performance specification . 3) Knowledge of the
controlling device The controller must be able to
accept measure-ments of desired and actual values
and compute a control signal in a suitable form
to drive an actuating element.
43
4) Knowledge of the actuating device This unit
amplifier the control signal and provides the
effort to move the output of the plant towards
its desired value. 5) Knowledge of the
plant Most control strategies requires some
knowledge of the static and dynamic
characteristic of the plant. These can be
obtained form measurements or form the
application of Fundamental physical laws.or
combination of both.
RETURN
44
A general control system can be represented as
Actuating signal (error signal)
Feedback element
A closed-loop control system uses a measurement
of the output and feedback of the signal to
compare it with the desired output (reference of
command).
45
Another block diagram of a generalized feedback
control system
RETURN
46
The advantages and disadvantages of open-loop
control system and closed-loop control system
open-loop control system The main advantages
1) Much simple and less expansive to
construct 2) Easy to have good stability The
main disadvantages Require detailed
knowledge of each component in order to determine
the input value for a required output.
47
  • closed-loop control system
  • The main advantages
  • 1) Have higher accuracy
  • 2) Not require detailed knowledge of each
    compo-nent or accurate model of the individual
    component
  • 3) The ability to recover from external,
    unwanted disturbances
  • 4) Reduced sensitivity to disturbance
  • The main disadvantages
  • 1) Complex and expensive to construct
  • 2) the loss of gain
  • 3) Quite easy to become unstable.

48
For most cases, the advantages far outweigh the
disadvantages, and a feedback system is utilized.
Therefore it is necessary to consider the
additional complexity and the problem of
stability when designing a control system.
RETURN
49
Example 1 A water temperature control system
50
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51
  • Observe (through senses)
  • Compute a control action (through brain) and
    apply the control
  • Action (through hands, feet, etc!)

RETURN
52
Example 2 water temperature control system with
a automatic method
53
The block diagram of the water temperature
automatic control system
54
Compare manual control method to automatic
control method Brain ---- Thermostat
(Reference input or desired output)
Nervous system----
Differencing junction Hand ---- Amplifier,
Motor and Wheel drivers Eyes
and Skin sensor ---Temperature sensor Mixer
Valve ---- Mixer Valve
55
  • For each example try to answer these
    questions
  • What is(are) the system input(s)?
  • What is(are) the system output(s)?
  • What is there a feedback path?

RETURN
56
  • The End of chapter one
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