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Industrial Automation & Intelligent Control Systems
Rating: 3.6 out of 5(8 ratings)
53 students

Industrial Automation & Intelligent Control Systems

PLC, SCADA, Automation, Fuzzy, Neural, Industry 4.0
Last updated 12/2025
English

What you'll learn

  • Understand the fundamentals of automation and industrial control systems.
  • Learn the architecture, programming, and interfacing of PLC and SCADA systems.
  • Gain practical exposure to MATLAB and Python for control simulation and data analysis.
  • Apply intelligent control concepts such as Fuzzy Logic and Neural Networks.
  • Explore AI-driven automation and Industry 4.0 frameworks through real industrial case studies.

Course content

2 sections62 lectures45h 10m total length
  • Course Introduction2:32

    Explore industrial automation and intelligent control systems through five modules covering production automation, TLC architecture and applications, SCADA, distributed control, human machine interface, and model-based advanced process control.

  • Module 1_Introduction to Production Systems1:00:02
  • Module 1_Evolution and Applications of Industrial Automation58:31
  • Module 1_Levels of Automation45:41

    Explore the five levels of automation in industry—from device level to enterprise level—showing how sensors, machines, cells, and plant operations integrate under ERP-driven management.

  • Module 1_Automation in services, packaging and storage services39:21

    Examine storage system performance and location strategies, comparing conventional bulk, rack, shelving, and drawer storage with automated ASRS and carousel systems, plus engineering analyses of capacity, density, throughput, and accessibility.

  • Module 1_Material Handling Systems31:55

    Explore material handling systems: movement, storage, and control of materials throughout manufacturing and distribution, with internal and external logistics, transport modes, and identification and tracking.

  • Module 1_AGV37:40

    Discover automated guided vehicles, self-propelled and battery-powered, moving along predefined factory paths. Identify agv categories—driverless trains, pallet trucks, unit load carriers—and navigation, capacities, and key applications.

  • Module 1_Advanced Automation Functions30:59

    Explore advanced automation functions, including safety monitoring, maintenance and repair diagnostics, and error detection and recovery, with PLC, SCADA, HMI, and VFD integration.

  • Module 1_Production Systems1:03:37
  • Module 1_AUTOMATION PRINCIPLES AND STRATEGIES1:00:26
  • Module 1_AUTOMATION PRINCIPLES AND STRATEGIES1:00:11
  • Module 2_PLC Architecture and Applications20:04

    Learn about programmable logic controllers (plcs): their architecture, applications, ladder diagram programming, input/output devices, and how series and parallel wiring realize and or logic in industrial automation.

  • Module 2_Programming the Programmable Controllers20:16

    Explore programming programmable controllers using ladder diagrams, including timer and counter functions, get/put word operations, and arithmetic and comparison blocks to enable sequential and event-driven control.

  • Module 2_PLC Programming_Ladder Schematics17:12

    Explore series-parallel PLC circuits and and-or logic using input contacts, control relays, and not gates to drive safe motor interlocks and indicator lamps.

  • Module 2_Types of operating switching devices16:57

    Examine manually and mechanically operated PLC switches, including push buttons, selector switches, limit switches, and temperature, pressure, and float level switches, plus latching relays, interlocks, and sequential relays.

  • Module 2_PLC Programming1:00:35
  • Module 2_PLC Components1:02:12
  • Module 2_Timers and Counters in PLC20:11

    Discover how timers and counters drive PLC programs, from on/off and retentive timers to up/down and up-down counters, with ladder logic applied to conveyors, traffic lights, and parking systems.

  • Module 2_Arithmetic operations and interlocks in PLC10:49

    Explore arithmetic operations and interlocks in PLCs, including addition, subtraction, multiplication, division, modulus, trig, exponential and logarithmic functions and square roots, with ladder logic examples Fahrenheit to Celsius conversion.

  • Module 2_Latching relays and Sequential Relays using PLC10:06

    Explore latching relays and sequential relays with PLCs, showing how a latch keeps a motor energized and how sequential start with timers reduces peak power.

  • VLAB_PLC Simulator_PLC Gates30:35

    Explore hands-on PLC gate design with the VLAB PLC simulator, building series and parallel circuits, testing inputs and outputs, and mastering tagging, compile, and run steps.

  • VLAB_PLC_Arithmetic10:11

    Engage in hands-on plc arithmetic with the VLAB simulator, configuring inputs A and B, performing addition, subtraction, multiplication, and division, and validating results via compile, run, and toggle.

  • VLAB_PLC_Timers20:09

    Explore hands-on PLC timing and counting with the VLAB PLC simulator, configuring on-delay and off-delay timers using preset values, compile and run to observe enable and done bits.

  • Module 3_SCADA System and Architecture1:00:39
  • Module 3_SCADA system components1:00:06
  • Module 3_Intelligent Electronic Devices30:21

    Identify intelligent electronic devices (IED) as microprocessor-based regulators enabling real-time monitoring, protection, metering, fault recording, and interoperable Scada communication with RTUs.

  • Module 3_SCADA Architectures1:00:12
  • Module 3_SCADA case studies and real world systems1:00:08
  • Module 3_SCADA Systems1:00:09
  • Module 3_SCADA System Security37:12

    Examine SCADA system security, PLC and RTU and IED architectures, and perimeter protections, detailing vulnerability taxonomy, severity charts, and secure coding practices to protect industrial processes.

  • Module 3_SCADA IT/OT Technologies and DMS OMS Systems2:00:10

    Explore scada, it/ot technologies, and dms oms systems within industrial automation and intelligent control systems.

  • Module 3_SCADA LAquis_Part 128:03

    Explore how SCADA LAQS enables temperature monitoring across distributed plants with dashboards, reports, and graphs, including production, maintenance, and stop states, with tutorials and animated examples.

  • Module 3_SCADA LAquis_Part 25:42

    Discover the SCADA water treatment monitoring workflow in LAQS, including downloading the water treatment example and creating tag-based reports, with setup of historical databases, servers, and Modbus communications.

  • Module 3_SCADA LAquis_Part 34:08

    Explore the SCADA LAQS software to monitor three equipment units, view analog and digital alarms, generate graph-backed reports, and analyze alarms with time stamps and logs.

  • Module 4_INTRODUCTION- Distributed Control System1:32:05

    Explore industrial automation and intelligent control systems through an introduction to the distributed control system.

  • Module_4 Sensor Signal conditioning - hands on with Python31:10

    Learn to perform sensor signal conditioning in Python by applying moving average and Butterworth filters to noisy sensor data, reducing noise and preserving signal patterns.

  • Module_4 Hands on with Python - DCS1:02:13
  • Module_4 INTERFACES IN DCS1:29:32

    Module 4 covers interfaces in DCS in industrial automation and intelligent control systems. Explore interfaces in DCS across industrial automation and intelligent control systems.

  • Module_4 LLHI - Hands on with Python12:48

    Explore hands-on Python in industrial automation by building a low-level human interface (llhi) to control a tank valve, simulate inflow and outflow, and plot the tank level history.

  • Module_4 HLHI - Hands on with Python12:45

    Explore a python hands-on session on changing setpoints via a high level interface and using a proportional controller to drive the manipulator variable and plot the process variable with matplotlib.

  • Module_4 Operator Interfaces - Hands on with Python22:25

    Explore how to manage DCS operator interfaces with Python, including low level and high level interfaces, alarm management, and valve control in manual and automatic modes.

  • Module_4 ENGINEERING INTERFACES1:09:58

    Explore engineering interfaces within industrial automation and intelligent control systems, examining how interfaces enable integration across automation components and control architectures.

  • Module_4 Factors to be considered for the Selection of DCS59:17
  • Module_4 Case Study - DCS in Sugar Plant1:00:17
  • Module_4 Sugar Plant - crystallization process using Python Hands on31:17

    Explore a hands-on Python implementation of the sugar plant crystallization using the vacuum pan (PAN), Briggs value, and supersaturation within a DCS architecture for batch operation and trend logging.

  • Module_4 CASE STUDIES IN DCS- PAPER INDUSTRY58:07
  • Module_4 Paper Plant - Python hands on32:34

    simulate a paper plant DCS in Python, acquire data, detect disturbances, and trigger alarms; visualize four sections with bar gauges and trends, showing set points and limits for control concepts.

Requirements

  • No programming knowledge is required

Description

This in-depth course on Industrial Automation & Intelligent Control Systems provides a complete understanding of how modern industries achieve high efficiency, precision, and reliability through automation. The course bridges theory and practical applications, making it ideal for engineers, students, and professionals aiming to build or upgrade their skills in industrial automation and intelligent control technologies.

The curriculum begins with the fundamentals of control systems, sensors, transducers, actuators, and signal conditioning, progressing toward programmable control using PLCs, DCS, and SCADA systems. Learners will develop the ability to design ladder logic, implement PID control, and interface sensors and drives with automation hardware. Real-world simulation tools and examples are used to provide hands-on exposure to automation project design.

As industries evolve toward Industry 4.0, the course introduces intelligent and adaptive control methods using artificial intelligence (AI), fuzzy logic, and neural networks. It also covers machine learning-based predictive maintenance, IoT-enabled smart factories, and digital twin concepts. Special attention is given to industrial communication protocols such as Modbus, Profibus, and Ethernet/IP, along with cybersecurity aspects in automation.

Practical case studies from manufacturing, robotics, process plants, and renewable energy systems illustrate the integration of intelligent control systems in real industrial settings. By the end of the course, learners will be proficient in designing and managing automated systems, optimizing performance, and deploying intelligent control strategies for next-generation industrial environments.

Key Highlights:

  • Comprehensive understanding of PLC, DCS, and SCADA systems

  • Intelligent control techniques: fuzzy logic, neural networks, and AI integration

  • Industrial IoT (IIoT) and digital transformation concepts

  • Real-world case studies and hands-on simulations

  • Focus on industrial communication, safety, and cybersecurity

  • Ideal for automation engineers, process control professionals, and engineering students

Who this course is for:

  • Beginner to Intermediate B. Tech Students