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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.

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