Advance Mechatronics- Designer and Planner Lead

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About Program

QP Name: Advance Mechatronics- Designer and Planner Lead
QP Code: CSC/Q
QP Version: 1.0
NSQF Level: 6
Model Curriculum Version: 1.0

An Advanced Mechatronics Designer and Planner Lead is responsible for conceptualizing, designing, and planning complex mechatronic systems that integrate mechanical, electrical, and software components for industrial automation, robotics, and smart manufacturing. This role ensures that mechatronic solutions are efficient, scalable, and aligned with Industry 4.0 innovations. The lead engineer plays a strategic role in system architecture, technology integration, and project execution, working across industries like automotive, aerospace, medical devices, and advanced manufacturing.

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Module

Module 1

Introduction to Advance Mechatronics- Design and Planning

Module 2

Integration of PLC & Automation Systems

Module 3

Introduction to Data Analytics in Mechatronic Systems

Module 4

Control Feedback Principles and its Implementation methods

Module 5

Designing of components and subsystems for panel integration

#Overview

Program Overview

Training Outcomes:
At the end of the program, the learner should have acquired the listed knowledge and skills.
– Demonstrate the process of integrating Programmable Logical Controller (PLC) with the
Supervisory Control and Data Acquisition (SCADA) system.
–  Describe the process of analyzing motion control.
– Demonstrate the process of designing the panels using the AutoCAD Electrical tool set.
–  Describe the process of carrying out process instrumentation.
–  Describe the process of setting up advanced automation in mechatronics.
–  Explain the importance of following inclusive practices for all genders and PWD at work.
–  Demonstrate the use of relevant health and safety equipment at work.
–  Advanced Mechatronics Design: Mastery in designing complex mechatronic systems
integrating mechanical, electrical, and computer engineering principles.
–  System Modeling and Simulation: Proficiency in modeling dynamic systems using tools
like MATLAB/Simulink, LabVIEW, or OpenModelica.
–  Control Systems Design: Ability to design control algorithms for mechatronic systems,
including PID controllers, state-space controllers, and adaptive control.
–  Sensor and Actuator Selection: Understanding of sensor and actuator technologies and the
ability to select the most suitable components for a given application.
–  Embedded Systems Development: Competence in programming microcontrollers and
designing embedded systems for real-time control.
– Robotics Engineering: Knowledge of robotics principles, including kinematics, dynamics,
and robot programming.
– Machine Vision: Familiarity with machine vision systems for object detection,
recognition, and tracking.

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#TrainerInfo

India's Leading Trainers.

Mehek Gunjan

IIT Delhi

Kailash Biswa

IIT Kanpur

Debika Roy

Harvard University

Praful Modak

IIT Bombay

Course Ingredients

Skill Development
Time Management
Work Management
Real Life Example
Career Support