An intensive professional development training course on
Control Systems Design
for Automation and Robotics
Why Choose Control Systems Design for Automation and Robotics Training Course?
Control systems are at the heart of every automated and robotic system. This advanced online training course covers the theoretical foundations and practical implementation of control systems for automation and robotics. Participants will learn to model dynamic systems, design controllers, and apply state-of-the-art techniques to solve real-world problems. Topics include classical PID control, modern state-space design, robust control, and adaptive control strategies. This course also incorporates extensive hands-on sessions using MATLAB/Simulink and hardware-in-the-loop techniques, enabling participants to bridge the gap between theory and practice.
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 AZTech 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
The Certificate
- AZTech -Certificate of Completion for delegates who attend and complete the online training course
In Partnership With
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