Aeronautical Engineering (MEng)
- To provide students with the fundamental concepts in the analysis and design of automatic control systems for use in a wide range of technologies (not just Aeronautics, but also Mechanical Engineering, Electrical Engineering, Chemical Engineering, Finance, Biology, etc.)
- To introduce some applications of control systems in the aerospace industry.
- To provide a framework and language to communicate with professional control engineers in their terms about control issues.
- To introduce the student to using industry-standard software, such as Matlab and Simulink, for control system analysis and design.
- Give examples of feedback in dynamical systems and discuss some of the basic properties of a feedback system.
- Convert an ODE of a dynamical system into alternative, but equivalent forms, such as the state space and transfer function form.
- Compute the equilibrium points of a nonlinear system and classify their stability properties.
- Compute a linear approximation of a nonlinear system about an equilibrium point.
- Design an output feedback controller for a linear system using pole placement and the separation principle.
- Design a proportional-integral-derivative (PID) controller.
- Analyse and predict the closed-loop stability from open-loop Nyquist and Bode plots.
- Design and analyse the performance of a controller for a linear system in the frequency domain or using the root locus.
- Assimilate and apply the basic principles of control theory on a range of engineering and non-engineering applications.
- Formulate design specifications for a control system.
- Assess and discuss the trade-offs that have to be made in a control design.
- Evaluate the performance of a control system.
- Modify an existing control design in order to meet design specifications.
- Critically analyse and discuss the results obtained from a control experiment.
- Design and implement a controller on a laboratory experiment using Matlab and Simulink.
- Develop independence in studying and manage their time in order to meet deadlines.
- Use self-assessment to monitor their ability to learn and apply new material.
- Collaborate with peers outside lecture hours in order to master the course material.
- Make their own course notes from attending lectures.
- Locate, extract and assimilate additional material from a variety of references, such as books and web-based sources, to supplement course notes.
- Collaborate in small groups during tutorial classes in order to solve problems.
- Write a report on the design process followed during a control experiment.
- Introduction: Examples and properties of feedback, simple forms of feedback.
- System Modelling: Modelling concepts, state space models, block diagrams, input-output models. Examples from aerodynamics, aerostructures, flight mechanics, astronautics.
- Dynamic Behaviour: Solving differential equations, phase portraits, equilibrium points, stability.
- Linear Systems: Definition of a linear system, convolution, stability and performance, second order systems, linearization.
- State Feedback: Reachability, stabilization by state feedback, design issues.
- Output Feedback: Static and dynamic output feedback, observability, state estimation, control using estimated state, separation principle.
- Transfer Functions: Laplace transforms, definition of the transfer function, block diagrams of complex systems, pole and zero locations, stability, the Final Value Theorem.
- Frequency Response and Bode Diagrams: frequency domain analysis, Bode plots.
- Simple Feedback Systems: PID Control: Closed loop characteristic equation, PID controllers.
- Feedback Systems: Stability and Performance: Nyquist plots, Nyquist's stability criterion, gain margin and phase margin, sensitivity function, feedback design via loop shaping, lead/lag compensation.
- Root Locus Techniques: Basic methods for sketching the root locus, introduction to root locus design.
AERO50002 Flight Dynamics and Control
AERO50003 Computing and Numerical Methods 2
AERO50006 Mathematics 2
AERO50008 Structures 2
Lectures, tutorial classes, surgery/revision class
The Twin Rotor Multivariable System: Feedback control of a pseudo-helicopter
1.5 hour written examination in Summer Term (65%),
a series of online coursework assignments & laboratory (35%)
2nd, Princeton University Press
Princeton University Press
2nd ed., Prentice Hall
Eighth edition., Pearson
Thirteenth edition, global edition., Pearson
Thirteenth edition, Global edition., Pearson