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Flatness-based fault tolerant control of a nonlinear MIMO system using algebraic derivative estimation

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TLDR
In this paper, a flatness-based approach to fault tolerant control is proposed, which uses the recently published algebraic derivative estimation method for the estimation of those output derivatives that are necessary for determining intermittent actuator faults.
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This article is published in IFAC Proceedings Volumes.The article was published on 2007-01-01 and is currently open access. It has received 25 citations till now. The article focuses on the topics: Stuck-at fault & Flatness (systems theory).

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Citations
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Journal ArticleDOI

Non-linear estimation is easy

TL;DR: Non-linear state estimation and some related topics like parametric estimation, fault diagnosis and perturbation attenuation are tackled here via a new methodology in numerical differentiation within the framework of differential algebra.
Journal ArticleDOI

Flatness-Based Trajectory Planning/Replanning for a Quadrotor Unmanned Aerial Vehicle

TL;DR: A flatness-based flight trajectory planning/replanning strategy is proposed for a quadrotor unmanned aerial vehicle (UAV) to drive the system from an initial position to a final one without hitting the actuator constraints while minimizing the total time of the mission or minimize the total energy spent.
Journal ArticleDOI

Actuator Fault Tolerant Control Design Based on a Reconfigurable Reference Input

TL;DR: A new approach to enhance the performance of an active fault tolerant control system based on a modified recovery/trajectory control system in which a reconfigurable reference input is considered when performance degradation occurs in the system due to faults in actuator dynamics.
Journal ArticleDOI

Active fault-tolerant control system design with trajectory re-planning against actuator faults and saturation: Application to a quadrotor unmanned aerial vehicle

TL;DR: In this paper, a reconfigurable fault-tolerant control (FTC) and trajectory planning scheme with emphasis on online decision-making using differential flatness is proposed, where the reference trajectories are synthesized so as to drive the system as fast as possible to its desired setpoint without violating system constraints.

Constrained trajectory generation and fault tolerant control based on differential flatness and B-splines

TL;DR: In this paper, a unified treatment of the notions of differential flatness, for the characterisation of continuous-time linear systems, and B-splines, a mathematical concept commonly used in computer graphics, is provided.
References
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Book

Robust Model-Based Fault Diagnosis for Dynamic Systems

TL;DR: Robust Model-Based Fault Diagnosis for Dynamic Systems targets both newcomers who want to get into this subject, and experts who are concerned with fundamental issues and are also looking for inspiration for future research.
Journal ArticleDOI

Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy—a survey and some new results

Paul M. Frank
- 01 May 1990 - 
TL;DR: In this article, the authors review the state of the art of fault detection and isolation in automatic processes using analytical redundancy, and present some new results with emphasis on the latest attempts to achieve robustness with respect to modelling errors.
Journal ArticleDOI

Flatness and defect of non-linear systems: introductory theory and examples

TL;DR: In this paper, the authors introduce flat systems, which are equivalent to linear ones via a special type of feedback called endogenous feedback, which subsumes the physical properties of a linearizing output and provides another nonlinear extension of Kalman's controllability.
Journal ArticleDOI

Process fault detection based on modeling and estimation methods-A survey

Rolf Isermann
- 01 Jul 1984 - 
TL;DR: This contribution presents a brief summary of some basic fault detection methods, followed by a description of suitable parameter estimation methods for continuous-time models.
Book

Fault detection and diagnosis in engineering systems

Janos Gertler
TL;DR: In this article, a fault detection and diagnosis framework for discrete linear systems with residual generators and residual generator parameters is presented for additive and multiplicative faults by parameter estimation using a parity equation.
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Frequently Asked Questions (13)
Q1. What contributions have the authors mentioned in the paper "Flatness-based fault tolerant control of a nonlinear mimo system using algebraic derivative estimation" ?

Additionally, taking into account the control saturations a novel classification scheme for actuator faults is introduced that exhibits a comprehensible graphical representation in terms of reachable sets. 

Future work will focus on the fault tolerant control of uncertain nonlinear systems. 

The first condition only depends on the convergence rate of the derivative estimation method and is fulfilled for slowly varying actuator faults. 

In the case of a dynamically severe fault, it is sufficient to enlarge the arrival time of the system, while keeping the same stationary values. 

The authors use a recently published derivative estimation method (Fliess et al., 2004; Fliess et al., 2005a; Mboup et al., 2007) 1 which is based on differential algebraic manipulations of a polynomial function of time. 

Tf denotes the system transfer time between two stationary regimes, and Fi(0) and Fi(Tf) denote the corresponding inital and stationary value of the reference trajectory. 

For the fault classification scheme based on the graphical representation of reachable regions, it is important to recall that any steplike actuator fault fa,i of amplitude Fa,i leads to a shift of −Fa,i with respect to the free control signal u′i(t) for the fault-free case. 

If the originally designated transfer time Tf,des was set to be 6 sec and a maximum transfer time of 15 sec is fixed then the two red points that represent two intended stationary points represent a situation with a Dynamically Severe Fault and a Severe Fault: in the first case, the red point can still be reached, though in a larger transfer time of 6 sec < Tf < 9 sec, whereas in the second case the red point will not be reachable within the maximum time of 15 sec. 

Fault tolerant behavior of the controllers, in this case, is achieved by adding a negative estimate of the actuator fault on the control expressions of the fault-free case. 

In the field of fault tolerant control, recently, encouraging results were obtained applying algebraic techniques within the control of a three tank system (Fliess et al., 2005b). 

Among all the available literature the authors would like to single out the ideas in (White and Speyer, 1987; Massoumnia, 1989) which involve the design of detection filters that are based on a geometric setting. 

As a consequence, the authors will observe perfect tracking, that is, F1(t) = F ⋆ 1 (t), F2(t) = F ⋆ 2 (t) as long as the nominal control signals u⋆i (t), i = 1, 2, reside fully within their respective saturation intervals [−Si, Si]; in this case, u ′ i = u ⋆ i (t), i = 1, 2, is valid. 

The authors now use a graphical display of the so-called reachable regions, by which the authors understand the 2-dimensional set of stationary points (F ⋆1 (Tf), F ⋆2 (Tf)) that can be chosen as the final values of the reference trajectories F ⋆1 (t), F ⋆ 2 (t), once the analytic form of the reference trajectories is fixed.