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Advanced Process
Automation
Advanced Process Control
Batch Processing and Automation
Chemical Engineering Principles
Classical Control System Design
Control Schemes and Strategies
Control Systems Technology
Dynamics and Control of Distillation Columns
Fuzzy, Neural and Expert Systems
Instrumentaion and Measurement
Management of Automation Projects
Mathematics and MATLAB
Modelling and Simulation
Modern Control Systems Design
Optimisation and Scheduling
Process Analytical Technology
 
Industrial Project

Modelling and Simulation

ReactorIntroduces the methods and techniques of model building skills and the use of the SIMULINK package for dynamic modelling. Topics covered are - purposes, uses & benefits of system modelling: model development; empirical and first principles models, steady state and dynamic models, time domain solutions, model validation: modelling techniques; lumped parameter models, absolute & deviation variables, linearisation: models of process systems; hydrodynamic, multistage, reacting, multivariable, distributed parameter, discrete event: transfer function models; block diagram representation, modelling of control loop elements, integration of process & control models: simulation; continuous system simulation, selection of numerical integration routines, discrete event simulation, functional testing.

Practical work consists of exercises based on the use of the SIMULINK dynamic simulation package. [details]

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Newcastle UniversitySchool of Chemical Engineering and Advanced Materials
Merz Court, Claremont Road
Newcastle upon Tyne, NE1 7RU, UK