A Set-Valued Approach to FDI and FTC of Wind Turbines

Casau, Pedro; Rosa, Paulo; Tabatabaeipour, Seyed Mojtaba; Silvestre, Carlos; Stoustrup, Jakob

doi:10.1109/tcst.2014.2322777

Cited by 39 publications

(28 citation statements)

References 59 publications

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“…(17) Note that, from the definition of , only estimates associated with sensors deemed healthy are fused in the reconfigured estimate (16) using the coefficients in (17). Moreover, it can be easily verified from (17) that ∑ i∈ i = 1 as required in (16). We then employ the following fusion estimate-based feedback controller with reference tracking:…”

Section: Estimate Reconfiguration and Tracking Controllermentioning

confidence: 99%

“…Assume that transformations V i and V z exist such that (19) and (32) are Schur matrices. If the system variables are initialised as specified in Assumption 3 and at least one bank of sensors is healthy at all times as in Assumption 4, then the closed-loop system encompassing the LPV plant (1) with outputs (2), the estimators (9) and the tracking controller (18) based on the reconfigured estimate (16) updated through the FDI/RDI and estimate reconfiguration algorithm 1, maintains the following properties.…”

Section: Theorem 1 (Stability and Fault Tolerance)mentioning

confidence: 99%

“…There exist other related MPC methods for uncertain systems based on interval analysis (see, eg, the work of Lydoire and Poignet). In addition, an alternative FTC method for LPV systems is presented in the work of Casau et al, involving set‐valued observers for a model invalidation‐based FDI combined with a mixed‐ μ controller. These approaches can provide further tools to analyse the transient response of the system.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Fault‐tolerant fusion‐based MPC with sensor recovery for constrained LPV systems

McCloy

Doná

Serón

2018

Intl J Robust & Nonlinear

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Summary In this paper, we present a robust fault‐tolerant control scheme for constrained multisensor linear parameter‐varying systems, subject to bounded disturbances, that utilises multiple sensor fusion. The closed‐loop scheme consists of a tube model predictive control‐based feedback tracking controller and sensor‐estimate fusion strategy, which allows for the reintegration of previously faulty sensors. The active fault‐tolerant fusion‐based mechanism tracks the healthy‐faulty transitions of suitable residual variables by means of set separation and precomputed transition times. The sensor‐estimate pairings are then reconfigured based on available healthy sensors. Under the proposed scheme, robust preservation of closed‐loop system boundedness is guaranteed for a wide range of sensor fault situations. An example is presented to illustrate the performance of the fault‐tolerant control strategy.

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Section: Estimate Reconfiguration and Tracking Controllermentioning

confidence: 99%

Section: Theorem 1 (Stability and Fault Tolerance)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fault‐tolerant fusion‐based MPC with sensor recovery for constrained LPV systems

McCloy

Doná

Serón

2018

Intl J Robust & Nonlinear

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“…Nguyen et al [25] proposed a framework for data integration of offshore wind farms while Shires [31] design optimization of an offshore vertical axis wind turbine. Recently Casau et al [8] proposed a set-valued approach to FDI and FTC of wind turbines and Laura and Vincente [9] analyzed the lifecycle cost for floating offshore wind farms. Smarsly et al [33] developed an integrated monitoring system for life-cycle management of wind turbines.…”

Section: Previous Researchmentioning

confidence: 99%

Minimizing maintenance cost for offshore wind turbines following multi-level opportunistic preventive strategy

2016

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a b s t r a c tCost of energy generated from offshore wind is impacted by maintenance cost to a great extent. Cost of maintenance depends primarily on the strategy for performing maintenance. In this paper a maintenance cost model for offshore wind turbine components following multilevel opportunistic preventive maintenance strategy is formulated. In this strategy, opportunity for performing preventive actions on components is taken while a failed component is replaced. Two kinds of preventive actions are considered, preventive replacement and preventive maintenance. In the former, components that undergo that action become as good as new (i.e., the replaced components, are not just as good as new, but are actually new), but in the latter, ages of components are reduced to some degree depending on the level of maintenance action. Total cost associated with maintenance depends on the setting of age groups that determine which component should be preventively maintained and to what degree. Through optimum selection of the number of age groups, cost of maintenance can be minimized. A model is formulated where total maintenance cost is expressed as a function of number of age groups for components. A numerical study is used to illustrate the model. The results show that total cost of maintenance is significantly impacted by number of age groups and age thresholds set for components.

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“…When the measurement cannot be explained by any members of this set a fault is detected. In the control literature these approaches are known as set-membership (SM), or error bounded methods; see [3], [4], and [5], [6] for a review. An advantage of the SM approach is that there is no need for a threshold design.…”

Section: Introductionmentioning

confidence: 99%

Robust fault detection of linear systems using a computationally efficient set-membership method

Tabatabaeipour

Bak²

2014

2014 IEEE Conference on Control Applications (CCA)

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In this paper, a computationally efficient setmembership method for robust fault detection of linear systems is proposed. The method computes an interval outerapproximation of the output of the system that is consistent with the model, the bounds on noise and disturbance, and the past measurements. If the output of the system does not belong to this interval, a fault is detected. To compute the output interval, we propose using support functions. Only two support functions for each output must be computed which results in a computationally efficient algorithm. Moreover, the method is trivially parallelizable. The method is demonstrated for fault detection of a hydraulic pitch actuator of a wind turbine. We show the effectiveness of the proposed method by comparing our results with two zonotope-based set-membership methods.

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A Set-Valued Approach to FDI and FTC of Wind Turbines

Cited by 39 publications

References 59 publications

Fault‐tolerant fusion‐based MPC with sensor recovery for constrained LPV systems

Fault‐tolerant fusion‐based MPC with sensor recovery for constrained LPV systems

Minimizing maintenance cost for offshore wind turbines following multi-level opportunistic preventive strategy

Robust fault detection of linear systems using a computationally efficient set-membership method

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