Wind profile disturbance isolation and attenuation through an UIO–LPV approach in PMSG‐based wind turbines

Salameh, Jack P.; Cauët, Sébastien; Etien, Erik; Sakout, Anas; Rambault, Laurent

doi:10.1049/iet-cta.2020.0167

Cited by 3 publications

(4 citation statements)

References 62 publications

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“…. The disturbance signal and measurement noises are given by 3,4,5,6,7,8,9,10,11,12,13,14) are random variables that can be generated by the function "rand" of MATLAB. The parameter µ of the intermediate observer is 1.…”

Section: Simulation Examplesmentioning

confidence: 99%

“…The Kalman filter was used to estimate the harmonic signal of the turbine side angular velocity, in addition, a new empirical mode decomposition method was introduced to separate the harmonics caused by the interference [10]. The unknown input observer was combined with the linear parameter varying approach in [11], which was used to estimate the disturbance in the input aerodynamic torque caused by the wind shear and tower shadow. In addition, based on the linear variable parameter model, an unknown input observer was designed to estimate the actuator and sensor fault signals of the wind power system by constructing an augmented system [12].…”

Section: Introductionmentioning

confidence: 99%

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Intermediate-Variable-Based Distributed Fusion Estimation for Wind Turbine Systems

Yang¹,

Wang²,

Zhou³

et al. 2022

Actuators

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In wind turbine systems, the state of the generator is always disturbed by various unknown perturbances, which leads to system instability and inaccurate state estimation. In this paper, an intermediate-variable-based distributed fusion estimation method is proposed for the state estimation problem in wind turbine systems. By constructing an augmented state error system and using the idea of bounded recursive optimization, the local estimators and distributed fusion criterion are designed, which can be used to estimate the disturbance signals and system states. Then, the local estimator gains and the distributed weighting fusion matrices are obtained by solving the established convex optimization problems. Furthermore, a compensation strategy is designed by using the estimated disturbance signals, which can potentially reduce the influence of the disturbance signals on the system state. Finally, a numerical simulation is provided to show that the proposed method can effectively improve the accuracy of the estimation of the wind turbine state and disturbance, and the superiority of the proposed method is illustrated as a comparison to the Kalman fusion method.

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Section: Simulation Examplesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Intermediate-Variable-Based Distributed Fusion Estimation for Wind Turbine Systems

Yang¹,

Wang²,

Zhou³

et al. 2022

Actuators

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show abstract

“…The matrix variations of an LPV system depend on time-varying parameters, the borrowing of linear systems techniques and theories. Unknown input observers (UIO) for LPV systems can be found in [2][3][4][5][6]. In [2], a UIO for an LPV system is designed using algebraic matrix operations for simultaneous state and unknown-input reconstruction.…”

Section: Introductionmentioning

confidence: 99%

Consensus Control of Linear Parameter-Varying Multi-Agent Systems with Unknown Inputs

Zhu

Tan

2023

Sensors

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This paper investigates the observer-based consensus control problem for linear parameter-varying (LPV) multi-agent systems (MASs) with unknown inputs. Firstly, an interval observer (IO) is designed to generate the state interval estimation for each agent. Secondly, an algebraic relationship is established between the system state and unknown input (UI). Thirdly, an unknown input observer (UIO) capable of generating estimates of UI and the system state has been developed through the algebraic relations. Finally, a UIO-based distributed control protocol scheme is proposed to realize the consensus of the MASs. In the end, to verify the validity of the proposed method, an example of a numerical simulation is given.

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“…The disturbance torques can be quite large for cheap DC motors and can cause performance issues. The conventional proportional integral derivative (PID) controller may not be very effective for eliminating the speed ripples of motors with small inertia due to the periodic nature of the disturbance torque [9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Position and Speed Tracking of DC Motor Based on Experimental Analysis in LabVIEW

Ilyas,

Khidrani,

Shah

2023

Ieec 2023

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Wind profile disturbance isolation and attenuation through an UIO–LPV approach in PMSG‐based wind turbines

Cited by 3 publications

References 62 publications

Intermediate-Variable-Based Distributed Fusion Estimation for Wind Turbine Systems

Intermediate-Variable-Based Distributed Fusion Estimation for Wind Turbine Systems

Consensus Control of Linear Parameter-Varying Multi-Agent Systems with Unknown Inputs

Position and Speed Tracking of DC Motor Based on Experimental Analysis in LabVIEW

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