Syllabus

Introduction: The architecture of Industrial Automation Systems, Automation: current and future scenarios, and the Industry 4.0 paradigm..

Module 2 : Sensing, Measurement and Actuation Systems:
Measurement Systems Characteristics, Temperature Measurement: RTD, Thermocouple, Pressure, Force and Torque Measurement: Diaphragms, Bellows, Bourdon Tube, Strain gauge, Load shell, Flow Measurement: differential pressure type flowmeters, Electromagnetic Flowmeter, Turbine type, Level Measurement: Diaphragms and differential pressure type, capacitance type. Actuation Systems: Control valve, Data loggers, Data Acquisition Systems (DAS).

Module 3: Programmable logic controller (PLC)
Programmable logic controller (PLC) basics: Definition, overview of PLC systems, input/output modules, power supplies, isolators. General PLC programming procedures, programming on-off inputs/ outputs. Auxiliary commands and functions: PLC Basic Functions: Register basics, timer functions, counter functions. PLC intermediate functions: Arithmetic functions, number comparison functions, Skip and CR functions, data move systems. PLC Advanced intermediate functions: Utilizing digital bits, sequencer functions, matrix functions, etc.

Module 4: DCS and SCADA
Distributed control systems (DCS): Definition, Local Control (LCU) architecture, LCU languages, LCU - Process interfacing issues, communication facilities, configuration of DCS, displays, redundancy concept
SCADA: Fundamental Principles of Modern SCADA Systems, Remote Terminal Unit (RTU), The Master Station, OSI Layer, Interfacing PLC to SCADA.

Module 5: Industrial Communication Technologies and Protocols:
Field bus: Introduction concept. HART protocol, Networking of Field Devices via FieldBus, ModBus, ProfiBus, etc.

Module 6: Emerging Trends and Case Studies
Industrial Internet of Things (IIoT), Artificial Intelligence (AI) in automation, and Industry 4.0,

To provide a comprehensive understanding of the technologies and systems that enable automation in modern industries.

To cover the essential components of industrial automation, including sensors, measurement systems, control technologies, actuators, programmable logic controllers (PLCs), human–machine interfaces (HMI), and supervisory control and data acquisition (SCADA) systems.

To explore industrial communication networks, data acquisition techniques, and the implementation of control strategies in real-world applications.

To develop the knowledge and skills required to design, analyze, and manage industrial automation systems efficiently and effectively through a blend of conceptual learning, simulation-based exercises, and case studies, learners will

Describe the basic principles, structure, and need for industrial automation in modern manufacturing and process industries.

Identify and explain the operation of various sensors, measurement systems, actuators, and control elements used in automation systems.

Analyze and apply control technologies to design and implement simple automation processes.

Develop and simulate PLC programs, and integrate HMI and SCADA for monitoring and control of industrial systems.

Explain industrial communication standards, networking concepts, and their application in industrial control and data acquisition.

Evaluate recent advancements in automation such as Industrial IoT, AI integration, and Industry 4.0 through case studies and practical examples.

John. W. Webb Ronald A Reis, Programmable Logic Controllers - Principles and Applications, Prentice Hall Inc., New Jersey , 1995

Curtis D. Johnson, Process Control Instrumentation Technology, PHI , 2002

Liptak, Bela G., Instrument Engineers Handbook, CRC Press , 1995