Why enroll

Participants join this course to understand how control systems work in real applications using simple and practical concepts. The course builds strong basics in SISO and TITO models, controllers, sensors, and FPGA implementation. It helps learners gain skills needed for careers in control, automation, and embedded systems.

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Course content

The course is readily available, allowing learners to start and complete it at their own pace.

Advanced Control Systems

25 Lectures

1294 min

Introduction
Preview
49 min
Control structures and performance measures
52 min
Time and frequency domain performance measures
50 min
Design of controller
43 min
Design of controller for SISO system
52 min
Controller design for TITO processes
53 min
Limitations of PID controllers
50 min
PI-PD controller for SISO system
54 min
PID-P controller for Two Input Two Output system
53 min
Effects of measurement noise and load
51 min
Identification of dynamic models of plants
50 min
Relay control system for identification
53 min
Off-line identification of process dynamics
53 min
On-line identification of plant dynamics
51 min
State space based identification
54 min
State space analysis of systems
57 min
State space based identification of systems -1
53 min
State space based identification of systems -2
51 min
Identification of simple systems
54 min
Identification of FOPDT model
52 min
Identification of second order plus dead time model
49 min
Identification of SOPDT model
52 min
Steady state gain from asymmetrical relay test
53 min
Identification of SOPDT model with pole multiplicity
52 min
Existence of limit cycle for unstable system
53 min

Course details

This course gives a clear and practical introduction to modern control systems used in engineering applications. It begins with the Introduction to control systems, explaining why control is needed and how systems are modeled and controlled in real life. The course covers the SISO (Single Input Single Output) model, where one input controls one output, making it easy to understand basic control concepts. It then introduces the TITO (Two Input Two Output) model, which explains systems having multiple interactions between inputs and outputs. Different types of controllers are studied to show how system performance can be improved. The role of sensors is explained, focusing on how physical signals are measured accurately. The course also introduces FPGA, showing how control algorithms can be implemented in hardware. Practical examples are used to connect theory with real systems. Students learn how control systems are designed and analyzed step by step. The course builds strong fundamentals required for advanced control topics. Overall, it helps learners understand how intelligent systems are modeled, controlled, and implemented in practice.

Source: nptelhrd [Youtube Channel]

Course suitable for

Automotive
Electrical
Engineering & Design
Project Management
Research & Developmnet

Key topics covered

Introduction
Control Structures and Performance Measures
Time and Frequency Domain Performance Measures
Design of Controller
Design of Controller for SISO Systems
Controller Design for TITO Processes
Limitations of PID Controllers
PI–PD Controller for SISO Systems
PID–P Controller for Two-Input Two-Output (TITO) Systems
Effects of Measurement Noise and Load Disturbances
Identification of Dynamic Models of Plants
Relay Control System for Identification
Off-line Identification of Process Dynamics
On-line Identification of Plant Dynamics
State-Space Analysis of Systems
State-Space-Based Identification of Systems – Part 1
State-Space-Based Identification of Systems – Part 2
Identification of Simple Systems
Identification of FOPDT Model
Identification of Second-Order Plus Dead Time Model
Identification of SOPDT Model
Steady-State Gain from Asymmetrical Relay Test
Identification of SOPDT Model with Pole Multiplicity
Existence of Limit Cycle for Unstable Systems

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