IC2401 DIGITAL CONTROL SYSTEM SYLLABUS | ANNA UNIVERSITY BE INSTRUMENTATION AND CONTROL ENGINEERING 7TH SEM SYLLABUS REGULATION 2008 2011 2012-2013 BELOW IS THE ANNA UNIVERSITY SEVENTH SEMESTER BE INSTRUMENTATION AND CONTROL ENGINEERING DEPARTMENT SYLLABUS, TEXTBOOKS, REFERENCE BOOKS,EXAM PORTIONS,QUESTION BANK,CLASS NOTES, IMPORTANT 2 MARKS, 8 MARKS, 16 MARKS TOPICS. IT IS APPLICABLE FOR ALL STUDENTS ADMITTED IN THE YEAR 2011 2012-2013 (ANNA UNIVERSITY CHENNAI,TRICHY,MADURAI,TIRUNELVELI,COIMBATORE), 2008 REGULATION OF ANNA UNIVERSITY CHENNAI AND STUDENTS ADMITTED IN ANNA UNIVERSITY CHENNAI DURING 2009
IC2401 DIGITAL CONTROL SYSTEM L T P C
3 0 0 3 AIM
To provide sound knowledge on the principles of discrete data control system
OBJECTIVES
i. To study the importance of sample data control system.
ii. To give adequate knowledge about signal processing in digital control.
iii. To study the importance of modeling of discrete systems and stability analysis
of discrete data system.
iv. To study the importance of state space representation for discrete data
system.
v. To introduce the design concept for digital controllers.
UNIT I COMPUTER CONTROLLED SYSTEM 6
Configuration of the basic digital control scheme – general sampled data system
variables – signal classifications – why use digital control system – Advantages –
disadvantages – examples of discrete data and digital control systems.
UNIT II SIGNAL PROCESSING IN DIGITAL CONTROL 9
Sampling process – Frequency domain analysis – ideal samples – Shanon’s sampling
theorem – generation and solution of process – linear difference equations – data
reconstruction process – frequency domain characteristics.
UNIT III DISCRETE SYSTEM MODELLING 9
Determination of the transform – mapping between s and domains - transform of
system equations – open loop Hybrid sampled Data Control Systems – open loop
discrete Input Data Control System – closed loop sampled data control system –
modified transform method – response between sampling instants – stability on the -
plane and jury’s stability test – steady state error analysis for stable systems.
UNIT IV STATE VARIABLE ANALYSIS OF DIGITAL CONTROL SYSTEMS 9
State descriptions of digital processors – conversion of state variable models to transfer
functions – conversion of transfer functions to canonical state variable models – first
comparison form – second companion form – Jordon Canonical form – state description
of sampled continuous time plants – solution of state difference equations – closed form
solution – state transition matrix – Caley Hamilton Technique – concept of controllability
and absorbability – loss of controllability and absorbability due to sampling.
UNIT V DESIGN OF DIGITAL CONTROL: 12
Digital PI, PD and PID Controller – Position and velocity forms – state regulator design –
design of state observers – dead beat control by state feed back and dead beat
observers.
87
TOTAL : 45 PERIODS
TEXT BOOKS 1. C.M. Houpis, G.B. Lamount, ‘Digital Control Systems-Theory, Hardware, Software’,
International Student Edition, McGraw Hill Book Co., 1985.
2. M.Gopal, ‘Digital Control and State Variables Methods’, Tata McGraw HILL, 2nd
Edition, 2003.
REFERENCES 1. B.C. Kuo, “Digital control systems”, Second Edition, Oxford University press, 1992.
2. P.B. Deshpande and R.H. Ash, ‘Computer Process Control’, ISA Publication, USA,
1995.
IC2401 DIGITAL CONTROL SYSTEM L T P C
3 0 0 3 AIM
To provide sound knowledge on the principles of discrete data control system
OBJECTIVES
i. To study the importance of sample data control system.
ii. To give adequate knowledge about signal processing in digital control.
iii. To study the importance of modeling of discrete systems and stability analysis
of discrete data system.
iv. To study the importance of state space representation for discrete data
system.
v. To introduce the design concept for digital controllers.
UNIT I COMPUTER CONTROLLED SYSTEM 6
Configuration of the basic digital control scheme – general sampled data system
variables – signal classifications – why use digital control system – Advantages –
disadvantages – examples of discrete data and digital control systems.
UNIT II SIGNAL PROCESSING IN DIGITAL CONTROL 9
Sampling process – Frequency domain analysis – ideal samples – Shanon’s sampling
theorem – generation and solution of process – linear difference equations – data
reconstruction process – frequency domain characteristics.
UNIT III DISCRETE SYSTEM MODELLING 9
Determination of the transform – mapping between s and domains - transform of
system equations – open loop Hybrid sampled Data Control Systems – open loop
discrete Input Data Control System – closed loop sampled data control system –
modified transform method – response between sampling instants – stability on the -
plane and jury’s stability test – steady state error analysis for stable systems.
UNIT IV STATE VARIABLE ANALYSIS OF DIGITAL CONTROL SYSTEMS 9
State descriptions of digital processors – conversion of state variable models to transfer
functions – conversion of transfer functions to canonical state variable models – first
comparison form – second companion form – Jordon Canonical form – state description
of sampled continuous time plants – solution of state difference equations – closed form
solution – state transition matrix – Caley Hamilton Technique – concept of controllability
and absorbability – loss of controllability and absorbability due to sampling.
UNIT V DESIGN OF DIGITAL CONTROL: 12
Digital PI, PD and PID Controller – Position and velocity forms – state regulator design –
design of state observers – dead beat control by state feed back and dead beat
observers.
87
TOTAL : 45 PERIODS
TEXT BOOKS 1. C.M. Houpis, G.B. Lamount, ‘Digital Control Systems-Theory, Hardware, Software’,
International Student Edition, McGraw Hill Book Co., 1985.
2. M.Gopal, ‘Digital Control and State Variables Methods’, Tata McGraw HILL, 2nd
Edition, 2003.
REFERENCES 1. B.C. Kuo, “Digital control systems”, Second Edition, Oxford University press, 1992.
2. P.B. Deshpande and R.H. Ash, ‘Computer Process Control’, ISA Publication, USA,
1995.
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