Course

Module-1

Instrumentation : Introduction : Measurement and its classification by physical characteristics, direct and inferential measurement, on-and off- line measurement.
Static Characteristics of Instruments : Error, accuracy, repeatability, drift, threshold, backlash, hysteresis, zero-stability, static, coulomb and viscous friction, live zero, suppressed zero, working bind.
Sensor and Transducers : Classification, principles and applications, interpretation of performance specification of transducers.
Building Blocks of an Instrument: Transducer, amplifier, signal conditioner, signal isolation, signal transmitter, display, data acquisition modules, I/O devices, interfaces. Process
Instrumentation: Working principles of transducers/instruments employed for the measurement of flow, level, pressure, temperature, density, viscosity, etc. and their merits and demerits.

Module-2

Data Acquisition and Signal Processing: Systems for data acquisition and processing, modules and computerized data system, digitization rate, time and frequency domain representation of signals, and Nyquistcriterion ; Introduction to Lab View and Mat lab for data capture and analysis.
Process Control: Introduction: The concept of process dynamics and control, review of Laplace transform methods, Laplace transform of disturbances and building functions, dynamic model building of simple systems.
Linear Open Loop System: Physical examples of first order systems and their response for step, impulse and sinusoidal inputs, linearization of nonlinear models, response of first order system in series, examples of second order systems and their response.
Linear Closed Loop System: The control system and its elements, closed loop transfer functions, transient response of simple control systems, concept of stability and use of Routh-Hurwitz test for stability.

Module-3

Controllers : Modes of control action, control system and its closed-loop transfer function.
Root Locus Method : Root locus treatment, response from root locus and its application to control system design.
Frequency Response : Introduction to frequency response, Bode diagrams of simple systems, Bode stability criterion, Control system design by frequency response ,use of gain and phase margins.
Model predictive control, Batch Process control, Plant-wide control & monitoring, Plant-wide control design , Instrumentation for process monitoring, Statistical process control, Introduction to Fuzzy Logic in Process Control, Introduction to OPC, Introduction to environmental issues and sustainable development relating to process industries.
Process Automation, Role of digital computer system in process control, Distributed instrumentation and control system, PLC, DCS, SCADA.

• CO1 : Understand basic principles and importance of process control in industrial process plants.
• CO2 : Study and estimate various characteristics of instruments
• CO3: Analyse and design Linear Open and Closed Loop Systems
• CO4 : Controllers and Modes of control action CO5 : Plant-wide monitoring & control
• CO6 : Process Automation and Distributed instrumentation and control system..

• Ramesh C    Panda    and        Thyagarajan,     An    Introduction    to    Process modelling, Identification and control for Engineers, Narosa Publishing House, 2017.
• Nakra B. C.and Chaudhry K. K., Instrumentation, Measurement and Analysis, 2^nd,Tata- Mc Graw Hill.2004
• Andrew W. G., Applied Instrumentation in the Process Industries, Vol.I,II and III 3^rd, Gulf Publication.1993
• Donald R. Coughanowr, Process Systems Analysis and Control, Third Edition, Mc Graw HillInc.,2013.
• Seborg, Duncan A. Mellichamp, Thomas F. Edgarand Francis J. Doyle Process Dynamics and Control, John Wiley and Sons, 2010.
• W., Process Control–Modeling, Design and Simulation, Prentice-Hall of India.2003