
Advanced Control Engineering for Manufacturing Plants
This course delves into advanced concepts and techniques in control engineering, focusing on their application in modern manufacturing plants. Participants will explore cutting-edge strategies such as Model Predictive Control, AI-driven control systems, and industrial automation technologies. The course emphasizes optimization, energy management, smart manufacturing, and the integration of IoT and digital twins to enhance system performance and efficiency.
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Course Duration:
36 hours
Level:
Advanced

Course Objectives
Master advanced control engineering concepts and their industrial applications.
Design and implement multi-variable and nonlinear control systems for manufacturing plants.
Integrate AI, machine learning, and IoT into control systems for smart manufacturing.
Optimise process efficiency and energy usage in industrial operations.
Leverage advanced tools like digital twins and hardware-in-the-loop simulations for system design and testing.
Prerequisites
Strong foundation in basic control engineering principles.
Proficiency in mathematics, particularly calculus and linear algebra.
Familiarity with industrial automation systems and programming (e.g., PLCs, MATLAB).
Basic knowledge of sensors, actuators, and instrumentation in manufacturing.
