MR4008 Advanced Control Systems Syllabus:
MR4008 Advanced Control Systems Syllabus – Anna University PG Syllabus Regulation 2021
COURSE OBJECTIVES
To recall the fundamentals of PID control and familiar various performance measures used in control systems.
To interpret the single loop control and it’s tuning.
To model, analyse the system in state space and its observer design in detail
To familiar the nonlinear control system and its concepts.
To learn the functions and used of various control methodology.
UNIT – I CONTROLLER AND PEREOFRMANCE MEASURES
Review of Feedback Systems and Design of PID Controllers – Electronic PID Controller – Digital PID Algorithm – Auto/Manual Transfer – Reset Windup – Practical Forms of PID Controllers – Evaluation Criteria – IAE, ISE, ITAE And ¼ Decay Ratio – Tuning Using Process Reaction Curve Method, Continuous Cycling Method and Damped Oscillation Method – Pole Placement – Lamda Tuning.
UNIT- II ENHANCEMENT TO SINGLE LOOP CONTROL
Feed-Forward– Ratio Control – Cascade Control – Inferential Control – Split-Range – Override Control – Selective Control – Sliding Mode Control – Auto Tuning.
UNIT – III STATE SPACE ANALYSIS
Concepts of State Variable and State Model – State Space to Transfer Function and Transfer Function to State Space Modes – Solving Time Invariant State Equation – Controllability – Observability – State Observers – Design of Control Systems with Observers.
UNIT – IV NONLINEAR SYSTEMS AND CONTROL
Non-Linear Systems – Common Physical Nonlinearities – Linearization of Nonlinear Systems – Phase Portrait Analysis – Isocline Method – Liapnov’s Stability Concept – Popov Criterian – Kalman Algorithm.
UNIT – V OTHER CONTROL METHODS
LQR – Adaptive Control – Optimal Control – Robust Control – Model Predictive Control – Multivariable Control systems.
TOTAL: 45 PERIODS
COURSE OUTCOMES
Upon completion of this course, the students will be able to:
CO1: Develop the PID control and capable to analyze performances of the control systems.
CO2: Know the functions of various types of single loop control and its tuning.
CO3: Examine the system in state space and its observer design in detail
CO4: Approach the nonlinear control system and its concepts.
CO5: Recognize the uses of various control methodology.
REFERENCES:
1. Bequette. B.W., “Process Control Modelling, Design and Simulation”, Prentice Hall of India, 2004.
2. Gopal. M, “Control Systems Principles and Design”, Tata McGraw Hill Publishing Ltd, 2003.
3. Kuo .B.C, “Automatic Control Systems”, Prentice Hall, 2004.
4. Nagrath .I.J. and Gopal, “Control System Engineering”, New Age International (P) Ltd., 2006.
5. Ogata.K, “Modern Controls Engineering“, Prentice Hall, 2005.
6. Zbigniew Ogonowski , “Advanced Control with MATLAB and Simulink”, Ellis Horwood, Ltd, 1995