Robust Output Feedback Sliding Mode Control for Time-delay Systems

Lead Research Organisation: University of Kent
Department Name: Sch of Engineering & Digital Arts


This research is concerned with the development of novel, theoretically sound sliding mode control techniques for application to nonlinear, complex and uncertain industrial processes. The research will focus on extending the existing sliding mode control design paradigm to enable the application of the methodology, with its proven robustness properties, to systems with after effect, otherwise known as time-delay systems, when only given output signals are available for measurement. The applied research will focus on the production of two significant implementation studies relating to control of autonomous and semi-autonomous vehicles and also the control of satellites to demonstrate the efficacy of the underlying philosophy and the new design algorithms. These are pertinent design studies to inform the development of the theoretical research programme as well as being used as vehicles to illustrate the research outcomes.The broad objectives are1. To provide practical yet theoretically rigorous solutions to the problem of robust sliding mode control for uncertain nonlinear systems in the presence of time-delay based upon knowledge of the measured system output(s). The problem will be considered from both a continuous and discrete time perspective.2. To produce significant implementation studies relating to control of satellites and autonomous and semi-autonomous vehicles which demonstrate the relevance of the theoretical results to industry.

Related Projects

Project Reference Relationship Related To Start End Award Value
EP/E020763/1 01/05/2007 31/07/2008 £386,444
EP/E020763/2 Transfer EP/E020763/1 01/08/2008 30/04/2010 £231,142
Description There has been a great deal of interest internationally in using sliding mode methods for fault detection and isolation. This interest has not only been from academics interested in research but also from practitioners and industry. There had previously been problems reported with some implementations where the output measurements were sampled relatively slowly from the plant under consideration. This fundamental research work has allowed new algorithms to be developed that enable the sampled nature to be accommodated as part of the design process. The performance in terms of reconstruction of faults in cases of slow sampling has been greatly improved. The PI has given invited presentations on this work both as an IEEE distinguished lecturer and also within China, India and Europe.
Exploitation Route There is the potential to collaborate with a broad range of industries in this area within the UK. Currently work has already started in industry outside of the UK to exploit these results.
Sectors Aerospace, Defence and Marine,Agriculture, Food and Drink,Chemicals,Energy,Environment,Healthcare,Manufacturing, including Industrial Biotechology,Pharmaceuticals and Medical Biotechnology,Transport

Description The findings are being used to support the better development of condition monitoring systems by industry.
First Year Of Impact 2016
Sector Transport
Impact Types Economic