The aim of this module is to provide students with practical experience of advanced hardware-software design tools and methodologies. By focusing on a specific target system and working on a practical project using advanced FPGAs, students will have the possibility to deepen their knowledge on a specific area and get in-depth practical training.
Embedded systems have become commonplace in our digital age and are used in every industry, from aerospace to consumer applications. Embedded devices range from everyday devices to advanced embedded systems used for complex applications.
The overall aim of this module is to introduce students to the design and analysis of computational systems that interact with physical processes. Applications of such systems include medical devices and systems, consumer electronics, toys and games, assisted living, traffic control and safety, automotive systems, process control, energy management and conservation, environmental control, aircraft control systems, communications systems, instrumentation, critical infrastructure control (electric power, water resources, and communications systems for example), robotics and distributed robotics (telepresence, telemedicine), defense systems, manufacturing, and smart structures.
This module will give students the opportunity to undertake the design and development process for embedded (dedicated) computer systems in relation to the environment in which they operate and to know how to integrate embedded hardware, software, and operating systems to meet the functional requirements of embedded applications.
In this module, students have the opportunity to create design concepts relating to an engineering artefact or topic. This module provides a learning experience that aims to enable students to apply their engineering and scientific knowledge within a realistic and substantial team project, and gain experience of working in a research or industry based design environment.
Students will have the opportunity to demonstrate their creativity and initiative in carrying out a demanding investigation or design project. As teams, students can negotiate with their ‘client’, be it an academic supervisor or an external sponsor, develop team working skills, plan their project, and present their work through meetings, reports and oral presentation. Teams will be comprised of students following different specialist streams, representing different areas of expertise.
The last decade has seen an upsurge in the development of intelligent modelling and control structures over their counterpart mathematical model-based structures due to their success in dealing with complex multivariable uncertain systems without the need for extensive dynamic modelling. At the forefront of intelligent systems strategies are Rule-based Expert Systems, Fuzzy Logic Systems, Artificial Neural Networks, Probabilistic and Evolutionary Algorithms, Hybrid Intelligent Systems, and Intelligent Control Systems, which have all proved to be serious contenders for many other conventional modelling and control methods. In the light of these considerations, this module aims to:
- Introduce the various ideas behind these theories
- Draw a parallel with other conventional modelling and control techniques. This module provides an introduction to the theories and practices of machine learning and data modelling, and to fuzzy logic within a control and systems engineering context
- Describe how these techniques can be applied to solve real world problems.
The module looks at the underlying principles of machine learning, data modelling and fuzzy logic, the advantages and limitations of the various approaches and effective ways of applying them in systems and control engineering, with the aim of making students appreciate the merits of the various technologies hence introduced.
The aim of this module is to provide an overview of the management of projects throughout the project life-cycle, from concept to beneficial operation. Business has long recognised the imperative for good, integrated processes in order to extract best value from capital investments; this course explores the benefits and imperatives for adopting a Capital Value Process for selecting the right projects to deliver required business goals, and for establishing robust Project Execution Plans for delivering world class results, as well as facilitating executive control at all stages throughout the project lifecycle. The student will compare and contrast the differing emphases and approaches to project delivery for several professional bodies and will be introduced to ten key project principles which underpin world class project performance across a broad range of industry sectors. They will also practise using several strategic planning tools to aid objective decision making and option screening. Importantly, the course will establish the imperative of good health, safety and environmental performance as a business value. It is not the intention of this module to teach project technical skills, such as planning, estimating or contract administration, but more to equip future project managers with a broad range of skills and competences so that, armed with the core project principles they might harness the skills of a diverse team of project professionals in developing and executing major projects, programmes and portfolios of the future.
After taking this unit the student should be able to appreciate the steady state and dynamic characteristics of induction machines when used for high-power motoring and generating duties.
An understanding of the development of models of electrical machines and devices, and their in performance prediction and for control is introduced as part of this module. Students will also have the opportunity to develop an appreciation of the technical, commercial and environmental constraints in the design of power systems that integrate renewable and alternative energy sources.
This module aims to develop an understanding of the design and operation of power systems in aerospace, marine and automotive vehicles.
With the introduction of more electrical technologies in these application areas, the understanding and expected performance of the power system has become a critical platform design issue.
This module aims to provide a thorough introduction to key concepts underlying topics in RF and microwave systems, with learning experience reinforced by using typical RF and microwave engineering applications.
Students have the opportunity to gain knowledge and an understanding of the principles and other key elements in RF and microwave systems and the theory involved in their analysis and design. Students can become familiar with the aspects of passive and active microwave circuits and the importance of stability issues involved in their design, and will have the opportunity to be introduced to CAD software for microwave circuits analysis and design.
This module aims to provide a thorough introduction to key concepts underlying the options available and the issues related to selection of sensors and actuators for control. Emphasis will be placed on systems of electro-mechanical nature but reference will be made to the much wider applicability of the techniques.
This module deals with current and potential future energy systems, covering resources, extraction, conversion, and end-use technologies, with emphasis on meeting regional and global energy needs in the 21st century in a sustainable manner. The course includes the review of various renewable and conventional energy production technologies, energy end-use practices and alternatives, and consumption practices in different countries. Students are given the opportunity to learn a quali-quantitative framework to aid in evaluation and analysis of energy technology system proposals in the context of engineering, political, social, economic, and environmental goals.
This module builds on earlier control theory to apply and extend the previously studied controller design methods.
The focus is primarily on passenger cars and considers the primary dynamic systems such as driveline, suspension and braking systems. The module starts with the underlying vehicle system dynamics and the corresponding reduced-order system models, including as the quarter-car suspension model and the bicycle handling model. Then a number of linear and nonlinear control methods are reviewed and developed in the context of particular control objectives. For longitudinal motion, control action is centred on the engine, driveline, and brakes. For vertical motion (ride) the focus is on suspension control, including active and semi-active suspensions. Finally, handling control is based on active steering and brake-based electronic stability control.