Course description
The course provides fundamental foundations and a working knowledge of modern control techniques for the analysis and design of multivariable aerospace control systems.
Modern control systems in the aerospace sector often use advanced control methods for the design and analysis of advanced control systems the course provides fundamental knowledge and understanding of these methods as well as illustrations of their application to flight control problems.
Fundamental concepts in linear systems theory are covered including system realisations, controllability, observability, and system and signal norms. Modern linear methods for the design and analysis of robust feedback control systems are covered including linear quadratic control, H-infinity control and mu-analysis. The taught material is supported by MATLAB design exercises where the methods are applied to flight control problems.
Upcoming start dates
Suitability - Who should attend?
This course is suitable for practising control engineers, particularly those working in flight control, flight dynamicists, and avionics engineers who need knowledge and understanding of modern multivariable control methods. Attendees should be familiar with classical control methods.
Outcome / Qualification etc.
What you will learn
On completion of the course, you will be able to:
- Analyse the stability, robustness and performance of multivariable aerospace control systems.
- Design robust and optimal feedback control systems using state variable techniques using MATLAB.
- Recognise the advantages and limitations of optimal feedback control.
Training Course Content
Core content
Multivariable System Analysis•Multivariable linear systems theory
- System realizations
- Controllability, observability, and canonical forms
- Size of signals and systems
Multivariable Control System Design
- System interconnection and feedback
- Optimal linear quadratic control and estimation
- Uncertainty and conditions for robustness
- H-infinity optimal control
Course delivery details
Course structure
The course is delivered through a series of lectures and class discussions during the mornings and MATLAB based exercises in the afternoons. The lectures are supported by tutorial problems to consolidate their fundamental knowledge and understanding. Knowledge of the application of the methods to industrially relevant practical problems is through the labs, where the students also learn the computational software that aid the design and analysis of modern robust control methods.
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Cranfield University
Cranfield is a specialist postgraduate university that is a global leader for education and transformational research in technology and management. We have many world-class, large-scale facilities, including our own global research airport, which offers a unique environment for transformational education...