OEE353 Syllabus - Introduction To Control Systems - 2021 Regulation - Open Elective | Anna University
OEE353 Syllabus - Introduction To Control Systems - 2021 Regulation - Open Elective | Anna University
OEE353 |
INTRODUCTION TO CONTROL SYSTEMS |
L T P C |
---|
3003
OBJECTIVES:
• To impart knowledge on various representations of systems.
• To familiarize time response analysis of LTI systems and steady state error.
• To analyze the frequency responses and stability of the systems
• To analyze the stability of linear systems in frequency domain and time domain
• To develop linear models mainly state variable model and transfer function model
• To familiarize time response analysis of LTI systems and steady state error.
• To analyze the frequency responses and stability of the systems
• To analyze the stability of linear systems in frequency domain and time domain
• To develop linear models mainly state variable model and transfer function model
UNIT I |
MATHEMATICAL MODELS OF PHYSICALSYSTEMS |
9 |
---|
Definition & classification of system – terminology & structure of feedback control theory –Analogous systems - Physical system representation by Differential equations – Block diagram reduction–Signal flow graphs.
UNIT II |
TIME RESPONSE ANALYSIS & ROOTLOCUSTECHNIQUE |
9 |
---|
Standard test signals – Steady state error & error constants – Time Response of I and II order system– Root locus–Rules for sketching root loci.
UNIT III |
FREQUENCY RESPONSE ANALYSIS |
9 |
---|
Correlation between Time & Frequency response – Polar plots – Bode Plots – Determination of Transfer Function from Bode plot.
UNIT IV |
STABILITY CONCEPTS & ANALYSIS |
9 |
---|
Concept of stability – Necessary condition – RH criterion – Relative stability – Nyquist stability criterion – Stability from Bode plot – Relative stability from Nyquist & Bode – Closed loop frequency response.
UNIT V |
STATE VARIABLE ANALYSIS |
9 |
---|
Concept of state – State Variable & State Model – State models for linear & continuous time systems– Solution of state & output equation–controllability & observability.
TOTAL: 45 PERIODS
OUTCOMES: Ability to
CO1: Design the basic mathematical model of physical System.
CO2: Analyze the time response analysis and techniques.
CO3: Analyze the transfer function from different plots.
CO4: Apply the stability concept in various criterion.
CO5: Assess the state models for linear and continuous Systems.
CO2: Analyze the time response analysis and techniques.
CO3: Analyze the transfer function from different plots.
CO4: Apply the stability concept in various criterion.
CO5: Assess the state models for linear and continuous Systems.
TEXT BOOKS:
1. Farid Golnarghi , Benjamin C. Kuo, Automatic Control Systems Paper back McGraw Hill Education, 2018.
2. Katsuhiko Ogata, ‘Modern Control Engineering’, Pearson, 5th Edition2015.
3. J. Nagrath and M. Gopal, Control Systems Engineering (Multi Colour Edition), New Age International, 2018.
2. Katsuhiko Ogata, ‘Modern Control Engineering’, Pearson, 5th Edition2015.
3. J. Nagrath and M. Gopal, Control Systems Engineering (Multi Colour Edition), New Age International, 2018.
REFERENCES:
1. Richard C. Dorf and Robert H. Bishop, Modern Control Systems, Pearson Education, 2010.
2. Control System Dynamics" by Robert Clark, Cambridge University Press, 1996 USA.
3. John J. D’Azzo, Constantine H. Houpis and Stuart N. Sheldon, Linear Control System AnalysisandDesign, 5th Edition, CRC PRESS, 2003.
4. S. Palani, Control System Engineering, McGraw-Hill Education Private Limited, 2009.
5. Yaduvir Singh and S.Janardhanan, Modern Control, Cengage Learning, First Impression2010.
2. Control System Dynamics" by Robert Clark, Cambridge University Press, 1996 USA.
3. John J. D’Azzo, Constantine H. Houpis and Stuart N. Sheldon, Linear Control System AnalysisandDesign, 5th Edition, CRC PRESS, 2003.
4. S. Palani, Control System Engineering, McGraw-Hill Education Private Limited, 2009.
5. Yaduvir Singh and S.Janardhanan, Modern Control, Cengage Learning, First Impression2010.
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