Practical Control Systems Engineering

Modern mechanical and manufacturing systems rely on control systems that must perform reliably under constant change — from shifting loads to uncertainty and increasing automation complexity. Yet in practice, many engineers work with PID loops, robotics, and automated systems without a clear, practical framework for understanding instability, tuning, or when classical control approaches start to break down.

This session delivers a grounded, application-focused introduction to control systems engineering for real industrial environments. Moving beyond textbook theory, it explains how closed-loop systems behave in practice, how PID controllers are tuned and optimized, and how engineers manage nonlinearities, uncertainty, and performance limits. It also introduces modern developments such as adaptive and AI-based control in robotics and manufacturing. Participants will leave with a clearer, more intuitive understanding of how to design, diagnose, and improve real-world control systems with confidence.

Key Topics Discussed:

• Foundations of closed-loop control systems in industrial applications
• Practical PID controller design, tuning methods, and performance trade-offs
• System stability, response behaviour, and performance evaluation
• Common causes of instability and poor control loop performance
• Managing nonlinearities and uncertainty in mechanical systems
• Troubleshooting real-world control system issues in manufacturing environments
• Sensor integration and feedback loop design considerations
• Control system implementation on physical hardware and industrial equipment
• Adaptive control strategies and real-time system adjustment
• Emerging AI and neural network-based control approaches
• Applications in robotics, automation, and high-performance manufacturing
• Testing, validation, and optimisation of industrial control systems