Engineering Dynamics 3

Overview

(1) Introduction to control systems: components of control systems, open loop and closed loop control

(2) Mathematical modelling of control systems: Laplace/Inverse Laplace transform, transfer functions, block diagrams, state space equations.

(3) Transient and steady states response analysis: first, second, and higher order systems, transient response analysis with MATLAB/Simulink, Routh's stability criterion

(4) Control systems design: pole placement method, PID controller, effects of proportional and integral actions on system performance, simulation of PID control in Simulink

(5) Control systems applications on engineering problems

Learning Objectives

Apply knowledge of mathematics, statistics, natural science and engineering principles to the solution of complex problems. Some of the knowledge will be at the forefront of the particular subject of study

Select and apply appropriate computational and analytical techniques to model complex problems, recognising the limitations of the techniques employed

Design solutions for complex problems that meet a combination of societal, user, business and customer needs as appropriate. This will involve consideration of applicable health & safety, diversity, inclusion, cultural, societal, environmental and commercial matters, codes of practice and industry standards

Apply an integrated or systems approach to the solution of complex problems

Skills

Function effectively as an individual, and as a member or leader of a team. Evaluate effectiveness of own and team performance

Assessment

None.