II4101 Industrial Automation and Control Syllabus:

II4101 Industrial Automation and Control Syllabus – Anna University PG Syllabus Regulation 2021

COURSE OBJECTIVES:

The students will be able to
 Understand PLC Instructions
 Develop Ladder Logic for working models
 Use SCADA programming
 Interface various sensors with Arduino for industrial Automation

UNIT I PROGRAMMABLE LOGIC CONTROLLERS

Programmable Logic Controllers (PLCs) – architecture-Types- features -Programming a PLC using ladder/connected Component workbench-Input & Output Modules- Bit Instructions- Timer & Counter Instructions- Comparison & Data Handling Instructions- Program Control Instructions- Sequencing Instructions- PLC Programming Exercises for Industrial Applications- DOL starter Star Delta starter- Automatic water level controller- Conveyor-Lift-Bottle filling and process control applications-Analog I/Os -High speed counter-PTO PWM and RTC

UNIT II SCADA SYSTEM

Evolution of SCADA, Various SCADA architectures, advantages and disadvantages of each system, SCADA System Components: Schemes- Remote Terminal Unit (RTU), Intelligent Electronic Devices (IED), Communication Network, SCADA Server Data acquisition systems, SCADA applications in Automation, SCADA –Memory tag, Device tag, Alarm logging, Data logging, OPC server- HMI Systems –DCS- DCS integration with PLC and Computers – Features of DCS

UNIT III ARDUINO AND SENSORS FOR INDUSTRIAL AUTOMATION AND CONTROL

Arduino board and IDE – Digital and Analog I/Os – Interfacing with Sensors –IR-PIR-Ultrasonic sensor – colour sensor -barometric pressure-Pulse- smoke-Temperature – Sound-Flame –Touch Accelerometer-Humidity and temperature – Seven segment display – LCD – Stepper Motor and DC Motor control, Graphical display, robot arm, Joystick, Wi fi interface, Blue tooth interface, Home automation, GPS tracker

UNIT IV DATA ACQUISITION SYSTEM

Data acquisition of digital and analog signals (input and output) – Stand alone, LabVIEW compatible, Mat lab compatible, Real time data acquisition and storing using different data acquisition cards. Retrieving the stored data for analysis – High level language programming for using data acquisition system

UNIT V PROCESS CONTROL AND PNEUMATICS

Process control- P, PI, PD.PID–Tuning methods- Statistical Process Control, Model Predictive Control, Fuzzy Logic Based Control, Neural-Network Based Control Actuators in motor vehicles, power switches, electrical rotary and linear actuators – pneumatic system – Properties of air – Perfect Gas Laws –Components of pneumatic system- ISO symbols for their elements -Control and regulation Elements—Direction, flow and pressure control valves- Methods of actuation, types, Design of Pneumatic and Electro pneumatic circuit–Simulation of Pneumatic and Electro pneumatic circuits – Applications using Robotics

TOTAL: 45PERIODS

COURSE OUTCOMES:

The students will be able to
 Program PLC for Industrial Applications
 Interface PLC with working models
 Control Applications using SCADA programming
 Develop industrial Automation using Arduino with various sensors

REFERENCES:

1. Gary Dunning, Introduction to Programmable Logic Controllers,3rd India edition, Cengage Learning, 2007
2. John Webb, Programmable Logic Controllers: Principles and Applications,5th edition Prentice Hall of India, 2012.
3. Krishna Kant Computer Based Process Control, Prentice Hall of India, 2004.
4. Michael P. Lukas, Distributed Control Systems: Their Evaluation and Design, Van Nostrand Reinhold Co., 1986
5. B. G. Liptak Instrument Engineers Handbook – Process Software and Digital Network, 3rd edition, CRC Press,2002.
6. Jose A. Romagnoli, Ahmet Palazoglu, Introduction to Process control, CRC Taylor and Francis group, 2005.
7. Richard Cox, Programmable Controllers, Delmer Thomson learning, 2001.
8. Richard Zurawski, Industrial Communication Technology Handbook 2nd edition, CRC Press, 2015.
9. W.Bolton, “Mechatronics, Electronic Control Systems in Mechanical and Electrical Engineering”, Pearson Education, 2003
10. “Automation, Production Systems and Computer Integrated Manufacturing”- M.P. Grover, Pearson Education.
11. “Computer Based Industrial Control” – Krishna Kant, EEE-PHI 2.