Analogue Control System Design

This course covers aspects of analogue control system design and modeling. Topics in the course include analogue mathematical modeling of control/feedback systems; classical control system analysis and frequency domain design techniques taking into consideration aspects of stability and performance. The Aims of this course are to teach students the basics of classical control theory to evaluate systems stability and performance and when required to design controllers to stabilise and to improve performance of systems and on the practical implementations of feedback control systems. Students will spend approximately 120 hours on a progressive basis to master the concepts and practice of control systems design in a Blended Learning mode. In addition, all face-to-face laboratory sessions provide students an opportunity to apply the concepts they have learnt. This course provides students with the analytical tools to understand systems from a control engineering perspective and the tools and technologies to solve such problems. It guides students to identify relevant system properties and parameters and to formulate mathematical models that allow the use of classical control theory to evaluate system performances and to design feedback control solutions to meet performance specifications. It can be applied to sensors and transducer systems, to modelling and understanding of biomedical systems as well as in the manufacturing of batch products (pharmaceutical and drugs), discrete components and systems (disk drives, automation and MEM) and flow processes (petrol-chemical and oil and gas). Students will also be introduced to Computer Simulation Design Tools such as Matlab and the associated Quanser Servomotor System.

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