Isolation and handling of actuator faults in nonlinear systems

Mhaskar, Prashant; McFall, Charles W.; Gani, Adiwinata; Christofides, Panagiotis D.; Davis, James F.

doi:10.1016/j.automatica.2007.05.006

Cited by 178 publications

(155 citation statements)

References 33 publications

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“…The general structure for an integrated fault-tolerant MPC is described in Figure 1 along with common fault types. Similar structures have been discussed in a number of papers written by Zhang and Jiang 2 and Mhaskar et al 17,18,19 , for example. …”

Section: General Structure Of the Active Integrated Fault-tolerant Mpcmentioning

confidence: 64%

Data-Based, Fault-Tolerant Model Predictive Control of a Complex Industrial Dearomatization Process

Kettunen

Jämsä‐Jounela

2011

Ind. Eng. Chem. Res.

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Abstract:The main focus of this paper is on the development of an active data-based fault-tolerant model predictive controller (FTMPC) for an industrial dearomatization process. Three different fault-tolerant control (FTC) strategies are presented; these comprise data-based fault detection and diagnosis (FDD) methods and fault accommodation-and controller reconfiguration-based FTC methods. These three strategies are tested with the simulated industrial dearomatization process. According to the validation and performance testing, the FTMPC performs efficiently and detects and prevents the effects of the most common faults in the analyser, flow and temperature measurements as well as the controller actuators. The reliability of the model predictive controller (MPC) is increased and the profitability is enhanced due to the lower off-spec production.2

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Section: General Structure Of the Active Integrated Fault-tolerant Mpcmentioning

confidence: 64%

Data-Based, Fault-Tolerant Model Predictive Control of a Complex Industrial Dearomatization Process

Kettunen

Jämsä‐Jounela

2011

Ind. Eng. Chem. Res.

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“…This approach relies, however, on the transfer function of the system and the mathematical treatment is complex, resulting in algorithms which are difficult to put in practise. In the work of Mhaskar et al (2008), the problem of FDI (fault detection and isolation) and FTC for nonlinear system subject to faults in the control actuators and constraints on the manipulated inputs for both the state/output-feedback cases is considered.…”

Section: G Franzè Et Almentioning

confidence: 99%

A Safe Supervisory Flight Control Scheme in the Presence of Constraints and Anomalies

Franzè

Furfaro

Mattei³

et al. 2015

International Journal of Applied Mathematics and Computer Science

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In this paper the hybrid supervisory control architecture developed by Famularo et al. (2011) for constrained control systems is adopted with the aim to improve safety in aircraft operations when critical events like command saturations or unpredicted anomalies occur. The capabilities of a low-computational demanding predictive scheme for the supervision of non-linear dynamical systems subject to sudden switchings amongst operating conditions and time-varying constraints are exploited in the flight control systems framework. The strategy is based on command governor ideas and is tailored to jointly take into account time-varying set-points/constraints. Unpredictable anomalies in the nominal plant behaviour, whose models fall in the category of time-varying constraints, can also be tolerated by the control scheme. In order to show the effectiveness of the proposed approach, simulations both on a high altitude performance demonstrator unmanned aircraft with redundant control surfaces and the P92 general aviation aircraft are discussed.

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“…In this work, we mainly discuss the model-based approach, which has been studied extensively for linear systems [4], [5] and nonlinear systems [6], [7]. In this approach, FDI is often achieved by generating residuals through the system model and input/output data.…”

Section: Introductionmentioning

confidence: 99%

“…Unknown input observers are developed in [4] to decouple the effect of unknown inputs, such as disturbances, from that of the faults for linear systems. For nonlinear systems, the problem has been studied by using uniform thresholds in [6] (and adaptive thresholds in [7]), where fault isolation relies on the existence of a state variable which is directly and uniquely affected by the potential fault. While there are several results on FDI, relatively less attention has been paid to the problem of fault diagnosis (where the problem is not only to isolate the fault, but also to estimate the magnitude of the fault), in part due to the nature of the FTC techniques described below.…”

Section: Introductionmentioning

confidence: 99%

Integrated fault diagnosis and robust safe-parking for fault-tolerant control of nonlinear systems

Nease

Mhaskar

2011

Proceedings of the 2011 American Control Conference

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Abstract-In this work, we consider the problem of fault diagnosis and fault-handling for nonlinear systems subject to actuator faults. A model-based fault diagnosis scheme is proposed, which can not only identify the failed actuator, but also estimate the magnitude of the fault. With the aid of the fault diagnosis design, the safe-parking framework for fault-tolerant control is extended to handle the case where an actuator seizes at an arbitrary position. The efficacy of the proposed framework is demonstrated through a chemical reactor example.

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Isolation and handling of actuator faults in nonlinear systems

Cited by 178 publications

References 33 publications

Data-Based, Fault-Tolerant Model Predictive Control of a Complex Industrial Dearomatization Process

Data-Based, Fault-Tolerant Model Predictive Control of a Complex Industrial Dearomatization Process

A Safe Supervisory Flight Control Scheme in the Presence of Constraints and Anomalies

Integrated fault diagnosis and robust safe-parking for fault-tolerant control of nonlinear systems

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