A Highly Interactive Training Course On

Control Systems Design for Automation and Robotics

Control Systems Design for Automation and Robotics
Course Schedule

ONLINE

19-23 May 2025
Online
$3,950
25-29 Aug 2025
Online
$3,950
27-31 Oct 2025
Online
$3,950
05-09 Jan 2026
Online
$3,950
Certificate
  • A Coventry Academy e-Certificate of Completion will be provided to delegates who attend and complete the online training course

Training Overview

Training Overview

Control systems are fundamental to all automated and robotic systems. This advanced online training course delves into both the theoretical principles and practical application of control systems in automation and robotics. Participants will learn how to model dynamic systems, design controllers, and utilize cutting-edge techniques to address real-world challenges. Key topics include classical PID control, modern state-space design, robust control, and adaptive control strategies. The online course also features hands-on sessions with MATLAB/Simulink and hardware-in-the-loop methods, allowing participants to connect theoretical knowledge with practical experience.

What are the goals?

By the end of this online training course, participants will be able to:

  • Understand the role of control systems in automation and robotics
  • Learn techniques for system modeling and stability analysis
  • Design and implement classical and modern controllers
  • Gain experience with simulation and hardware-in-the-loop testing

Who is this Training Course for?

This online training course is suitable to a wide range of professionals but will greatly benefit:

  • Automation engineers involved in control system design
  • Robotics engineers focused on motion and stability control
  • Researchers and graduate students specializing in control systems
  • Professionals in industries using dynamic systems and automated machinery

How will this Training Course be Presented?

This online training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes an interactive mixture of lecture-led learning & group discussions.

The Course Content

Day One: Fundamentals of Control Systems
  • Overview of control system concepts
  • Mathematical modeling of dynamic systems
  • Transfer functions and block diagrams
  • Stability criteria and performance measures
Day Two: Classical Control Design Techniques
  • PID control: principles and tuning methods
  • Root locus analysis for controller design
  • Frequency response methods: Bode and Nyquist plots
  • Practical examples of classical control applications
Day Three: State-Space and Modern Control
  • State-space representation of dynamic systems
  • Pole placement and state observer design
  • Introduction to robust and adaptive control techniques
  • Real-world examples and case studies
Day Four: Simulation and Hardware-in-the-Loop Testing
  • MATLAB/Simulink for control system design
  • Building models for simulation and validation
  • Hardware-in-the-loop simulation for real-time testing
  • Integration of control systems with physical hardware
Day Five: Advanced Applications and Case Studies
  • Control systems in industrial robotics
  • Autonomous vehicle control and navigation
  • Practical project: design and implementation of a robotic control system
  • Discussion on future advancements in control technology