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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

Classical Control Systems Design

Establishes the theoretical basis of control system design and analysis. Topics covered are - system characteristics; use of Laplace transforms, transfer functions, first order systems, leads, lags & time delays, second order systems & damping, response time, block diagram algebra, open & closed loop transfer functions, final value theorem, higher order system approximation, characteristic equation, stability: frequency response techniques: Bode diagram and stability criteria; gain & phase margin, polar plots, open & closed loop responses: root locus; Evans rules, pole zero cancellation, design of controllers, lead-lag compensators: non-linear systems; types of non-linearity, describing functions, phase plane techniques, limit cycles, gain scheduling: signal processing; amplitude characterisation, probability distributions, auto & cross-correlation techniques, frequency characterisation, Fourier transforms, spectral density.

Practical work consists of exercises involving these techniques using the MATLAB and SIMULINK packages. [details]

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