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Professor Ron Patton

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Ron Patton

Professor of Control and Intelligent Systems Engineering


Integrated fault estimation and fault-tolerant control for uncertain Lipschitz nonlinear systems (2016)
Journal Article
Lan, J., & Patton, R. J. (2017). Integrated fault estimation and fault-tolerant control for uncertain Lipschitz nonlinear systems. International journal of robust and nonlinear control, 27(5), 761-780. https://doi.org/10.1002/rnc.3597

This paper proposes an integrated fault estimation and fault-tolerant control (FTC) design for Lipschitz non-linear systems subject to uncertainty, disturbance, and actuator/sensor faults. A non-linear unknown input observer without rank requirement... Read More about Integrated fault estimation and fault-tolerant control for uncertain Lipschitz nonlinear systems.

A new strategy for integration of fault estimation within fault-tolerant control (2016)
Journal Article
Lan, J., & Patton, R. J. (2016). A new strategy for integration of fault estimation within fault-tolerant control. Automatica : the journal of IFAC, the International Federation of Automatic Control, 69, 48-59. https://doi.org/10.1016/j.automatica.2016.02.014

© 2016 Elsevier Ltd. All rights reserved. The problem of active fault tolerant control (FTC) of dynamical systems involves the process of fault detection and isolation/fault estimation (FDI/FE) used to either make a decision as to when and how to cha... Read More about A new strategy for integration of fault estimation within fault-tolerant control.

Robust fault estimation using an LPV reference model : ADDSAFE benchmark case study (2015)
Journal Article
Chen, L., Patton, R., & Goupil, P. (2016). Robust fault estimation using an LPV reference model : ADDSAFE benchmark case study. Control engineering practice, 49, 194-203. https://doi.org/10.1016/j.conengprac.2015.12.006

This paper investigates a mixed H−/H∞ linear parameter varying (LPV) fault estimator using an LPV reference estimator. LMIs are used to calculate the affine parameter-dependent gains of the LPV fault estimator. The design strategy is applied to a hig... Read More about Robust fault estimation using an LPV reference model : ADDSAFE benchmark case study.

Integrated fault estimation and fault tolerant control: A joint design (2015)
Journal Article
Tan, D., & Patton, R. J. (2015). Integrated fault estimation and fault tolerant control: A joint design. IFAC Proceedings Volumes/ International Federation of Automatic Control, 28(21), 517-522. https://doi.org/10.1016/j.ifacol.2015.09.578

© 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. Over the past decades, substantial progress has been made in fault detection and diagnosis (FDD) and fault tolerant control (FTC) research. Rec... Read More about Integrated fault estimation and fault tolerant control: A joint design.

A relaxed solution to unknown input observers for state and fault estimation (2015)
Journal Article
Tan, D., Patton, R. J., & Wang, X. (2015). A relaxed solution to unknown input observers for state and fault estimation. IFAC Proceedings Volumes/ International Federation of Automatic Control, 28(21), 1048-1053. https://doi.org/10.1016/j.ifacol.2015.09.665

A lot of effort has been devoted to the unknown input observer (UIO) research over the past years. However, the strong disturbance decoupling assumption (manifested as some rank constraint) is often implicitly embedded in much of the existing UIO wor... Read More about A relaxed solution to unknown input observers for state and fault estimation.

Chemical process disturbance compensation as a fault tolerant control problem (2015)
Journal Article
Simani, S., Farsoni, S., & Patton, R. J. (2015). Chemical process disturbance compensation as a fault tolerant control problem. IFAC Proceedings Volumes/ International Federation of Automatic Control, 28(21), 1102-1107. https://doi.org/10.1016/j.ifacol.2015.09.674

In general, the control of chemical processes that involve unknown disturbances presents interesting challenges. Research issues have been focused on detailed modelling of the involved phenomena in order to use e.g. robust on-line disturbance compens... Read More about Chemical process disturbance compensation as a fault tolerant control problem.

Study of power plant, carbon capture and transport network through dynamic modelling and simulation (2015)
Thesis
Oko, E. (2015). Study of power plant, carbon capture and transport network through dynamic modelling and simulation. (Thesis). University of Hull. Retrieved from https://hull-repository.worktribe.com/output/4216833

The unfavourable role of CO₂ in stimulating climate change has generated concerns as CO₂ levels in the atmosphere continue to increase. As a result, it has been recommended that coal-fired power plants which are major CO₂ emitters should be operated... Read More about Study of power plant, carbon capture and transport network through dynamic modelling and simulation.

An active fault tolerant control approach to an offshore wind turbine model (2014)
Journal Article
Shi, F., & Patton, R. (2015). An active fault tolerant control approach to an offshore wind turbine model. Renewable energy, 75(March), 788-798. https://doi.org/10.1016/j.renene.2014.10.061

The paper proposes an observer based active fault tolerant control (AFTC) approach to a non-linear large rotor wind turbine benchmark model. A sensor fault hiding and actuator fault compensation strategy is adopted in the design. The adapted observer... Read More about An active fault tolerant control approach to an offshore wind turbine model.

Fault estimation and active fault tolerant control for linear parameter varying descriptor systems (2014)
Journal Article
Shi, F., & Patton, R. J. (2015). Fault estimation and active fault tolerant control for linear parameter varying descriptor systems. International journal of robust and nonlinear control, 25(5), 689-706. https://doi.org/10.1002/rnc.3266

Starting with the baseline controller design, this paper proposes an integrated approach of active fault tolerant control based on proportional derivative extended state observer (PDESO) for linear parameter varying descriptor systems. The PDESO can... Read More about Fault estimation and active fault tolerant control for linear parameter varying descriptor systems.

Predictive control approaches to fault tolerant control of wind turbines (2014)
Thesis
Feng, X. (2014). Predictive control approaches to fault tolerant control of wind turbines. (Thesis). University of Hull. Retrieved from https://hull-repository.worktribe.com/output/4216343

This thesis focuses on active fault tolerant control (AFTC) of wind turbine systems. Faults in wind turbine systems can be in the form of sensor faults, actuator faults, or component faults. These faults can occur in different locations, such as the... Read More about Predictive control approaches to fault tolerant control of wind turbines.