JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

Course Objectives:

• To understand the basic characteristics of first order and higher order processes.
• To acquire knowledge about the characteristics of various controller modes and methods of tuning of controller.
• To acquire knowledge on the construction, characteristics and application of control valves.
• To study the UNIT operations and a case study of distillation column control

Course Outcomes

On successful completion of this course students will be able to:

• Determine the mathematical model for real-time first and higher order systems.
• Design various controller modes with appropriate tuning
• Implement advanced control schemes for various processes
• Ability to Analyze Multivariable Systems and Design Multi-variable and Multi-loop
• Control Schemes for various processes

UNIT - I

Introduction: Need for process control, Design aspects of process control system, Process degree of freedom. Mathematical model of first order processes: level, pressure and thermal processes Second order process: Interacting and non-interacting processes, State space modelling Discrete time systems, analog to digital and digital to analog conversion, sampling of continuous time signal, conversion of discrete time to continuous time signal with zero and first order holds, z-transform.

UNIT - II

Basic Single Loop Control Actions: Characteristics and dynamics of Discrete Control Modes: ON- OFF, Multi Speed, Floating Controllers. Characteristics and dynamics of feedback control modes: Proportional, Integral and Derivative control modes P+I, P+D and P+I+D control modes P-I-D Controller Tuning and Stability Analysis Tuning of Controllers: Evaluation criteria IAE, ISE, ITAE and ¼ decay ratio Tunings Process reaction curve method Ziegler Nichols method Damped oscillation method, Digital PID Algorithm. Dahlin's algorithm, deadbeat controller.

UNIT - III

MIMO Systems -Multiloop Control: MIMO Systems: Multi loop Controllers: Feed-forward control ratio control- cascade control adaptive split-range control multivariable control Multi variable IMC- Model based Predictive Controller examples from distillation column and boiler systems.

UNIT - IV

Final Control Element: I/P converter pneumatic and electric actuators valve positioner control valves characteristics of control valves inherent and installed characteristics control valve sizing cavitation and flashing selection criteria.

UNIT - V

Industrial Applications: Dynamics of Four tank system, CSTR, pH neutralization process Distillation column and Modern control practices in: Power plants, pharmaceuticals and petrochemicals industries.

R19 M.TECH EIE

TEXT BOOKS:

• 1. G. Stephanopoulos, Chemical Process Control, Prentice Hall of India, New Delhi, 1990.
• 2. Bela. Liptak, Process Control,
• 3. Curtis Johnson, Process Control Instrumentation Technology, Prentice Hall India.

REFERENCES:

• 1. B. Wayne Bequette, “Process Control: Modeling, Design, and Simulation”, Prentice Hall of India,2004.
• 2. Pollard A. Process Control, Heinemann educational books, London, 1971.
• 3. Eckman. D.P., Automatic Process Control, Wiley Eastern Ltd., New Delhi, 1993.
• 4. S. K. Singh, Process Control, PHI Publications, New Delhi 2010. R19 M.TECH EIE M.TECH.- I YEAR- II SEMESTER ELECTRONICS AND INSTRUMENTATION ENGINEERING