Why enroll

Participants join Design of Mechatronic Systems to develop a strong interdisciplinary skill set that is essential for designing modern intelligent and automated products. The course enables learners to understand how mechanical, electrical, electronic, control, and software components interact within a single system, allowing them to move beyond isolated domain knowledge to a complete system-level design perspective.

Many participants are motivated to gain practical competence in modeling, simulation, sensor and actuator selection, control system design, and embedded implementation—skills that are highly valued in industries such as robotics, industrial automation, automotive, aerospace, medical devices, and smart manufacturing. The course helps bridge the gap between theoretical concepts and real-world applications through structured design methodologies and practical case studies.

Participants also join to enhance their career prospects by acquiring industry-relevant expertise in mechatronics, preparing them for roles in product design, system integration, automation engineering, and R&D. Additionally, the course supports academic growth by strengthening fundamentals needed for advanced studies and research in mechatronics, robotics, and control systems, making it valuable for both students and working professionals.

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Course content

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

Design of mechatronic system -II

20 Lectures

740 min

Selection of Sensors and Actuators - Part I
Preview
30 min
Selection of Sensors and Actuators – Part II
Preview
29 min
Concept of feedback
36 min
Closed loop control implementation in microcontroller
25 min
Mathematical representations of systems for control
45 min
Control design for linear systems
42 min
Mathematical Preliminaries- Nonlinear Control
33 min
Application of control design for linear systems
37 min
Fundamentals of Lyapunov theory
22 min
Application of Lyapunov stability analysis
46 min
Trajectory tracking controller: Robotic system
25 min
Fundamentals of sampling
41 min
Shannon sampling theorem and signal reconstruction
44 min
Signal processing
36 min
Digital system representation and filters for mechatronics
43 min
Case study: Development of 3D microprinting system
33 min
Case study: 3D microprinting via Bulk lithography
17 min
Case study: Hele-Shaw system for novel fabrication
55 min
Hands on Activities Part I
35 min
Hands on Activities Part II
66 min

Course details

Design of Mechatronic Systems is an advanced interdisciplinary course that concentrates on the structured design, analysis, and realization of intelligent engineering systems by synergistically combining mechanical components with electronics, control strategies, and embedded computing. The course emphasizes design thinking at the system level, where functionality, performance, cost, reliability, and safety are considered simultaneously throughout the product development lifecycle.

The course introduces participants to the complete mechatronic design process, starting from problem definition and requirement analysis to conceptual design, detailed modeling, and system integration. Learners study how physical systems are represented using mathematical models and block diagrams, enabling prediction of system behavior under various operating conditions. Simulation tools are used extensively to evaluate design alternatives, optimize parameters, and reduce development risks before physical implementation.

A major focus is placed on sensing and actuation technologies that form the interface between the physical and digital domains. The course explores a wide range of sensors for motion, force, pressure, temperature, and position, along with actuators such as electric drives, hydraulic and pneumatic systems, and smart actuators. Topics include interfacing techniques, signal conditioning, noise reduction, and data acquisition, with attention given to real-world constraints and performance trade-offs.

Control system development is addressed from both theoretical and practical perspectives. Participants learn to design and implement feedback and digital control systems that ensure accuracy, stability, and robustness. The integration of control algorithms with microcontrollers and embedded platforms is emphasized, including real-time constraints, communication protocols, and hardware–software co-design considerations.

The course also covers system integration, testing, and validation, highlighting methods for troubleshooting, performance evaluation, and fault detection. Case studies from robotics, automotive systems, industrial automation, and smart products illustrate how mechatronic principles are applied in practice. By the end of the course, participants are equipped with the knowledge and design methodologies required to develop efficient, reliable, and intelligent mechatronic systems suited to modern engineering challenges.

source : NPTEL[ youtube]

Course suitable for

Mechanics & Turbomachinery
Mechanical
Production

Key topics covered

selection of sensors
closed loop control implementation in microcontroller
application of control design for linear systems
trajectory tracking controller : robotic system
signal processing
hands on activities

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