Course overview
This course aims to provide key concepts of dynamics and automatic control to process plants. Material and energy balances are used to model differential equations of unsteady state (dynamic) process systems. Laplace Transforms are used to conveniently solve these ordinary differential equations, so that appropriate control loops can be developed to bring the industrial processes back to equilibrium. This course aligns with the program’s intent to demonstrate a chemical engineering body of knowledge and to apply this knowledge along with critical thinking, creativity, and innovation to solve complex problems relevant to industrial and real-life applications in the process industries.
- Model Development
- Stability Assessment And Tuning Techniques
- Instrumentations
- Advanced Tools For Stability Assessment
Course learning outcomes
- Develop a dynamic model of a range of processes relevant to industrial plants, and apply various mathematical methods to solve these models
- Utilise block diagrams to design of control systems for various processes
- Specify the required instrumentation and final elements to ensure that well-tuned control is achieved
- Design and tune process (PID) controllers
- Use appropriate software tools (e.g. Matlab Control Toolbox & Simulink) for the modelling of plant dynamics and the design of well tuned control loops
- Draw a PID (Process & Instrumentation Diagram) & devise simple but effective plant wide control strategies using appropriate heuristics
- Analyse data from a controlled process to assess controller performance and compare to predictions from fundamental principles
Degree list
The following degrees include this course