Fault-tolerant control of wind turbines with hydrostatic transmission using Takagi–Sugeno and sliding mode techniques

Schulte, Horst; Gauterin, Eckhard

doi:10.1016/j.arcontrol.2015.08.003

Cited by 39 publications

(25 citation statements)

References 8 publications

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“…[139] and added to the current control loop. The gain of a resonant controller at a given resonant frequency is infinite; thus, the controller can completely suppress the harmonic at this frequency.…”

Section: Harmonic Suppression and Spectral Analysis Of Pmsgsmentioning

confidence: 99%

“…In engineering systems that consists of power electronic equipment similar to converters in DD-WT, three fault tolerance techniques are widely used, namely, hardware redundancy [130], software redundancy [131], and the combination of both [132]. FT grid converters and PMSGs for EPCSs in the DD-WTs are strongly related to the system topology adopted in normal operation.…”

Section: Operation Control Of Epcss In Dd-wts Under Faultsmentioning

confidence: 99%

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Overview of condition monitoring and operation control of electric power conversion systems in direct-drive wind turbines under faults

Huang

Xiao

et al. 2017

Front. Mech. Eng.

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Electric power conversion system (EPCS), which consists of a generator and power converter, is one of the most important subsystems in a direct-drive wind turbine (DD-WT). However, this component accounts for the most failures (approximately 60% of the total number) in the entire DD-WT system according to statistical data. To improve the reliability of EPCSs and reduce the operation and maintenance cost of DD-WTs, numerous researchers have studied condition monitoring (CM) and fault diagnostics (FD). Numerous CM and FD techniques, which have respective advantages and disadvantages, have emerged. This paper provides an overview of the CM, FD, and operation control of EPCSs in DD-WTs under faults. After introducing the functional principle and structure of EPCS, this survey discusses the common failures in wind generators and power converters; briefly reviewed CM and FD methods and operation control of these generators and power converters under faults; and discussed the grid voltage faults related to EPCSs in DD-WTs. These theories and their related technical concepts are systematically discussed. Finally, predicted development trends are presented. The paper provides a valuable reference for developing service quality evaluation methods and fault operation control systems to achieve high-performance and high-intelligence DD-WTs.

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Section: Harmonic Suppression and Spectral Analysis Of Pmsgsmentioning

confidence: 99%

Section: Operation Control Of Epcss In Dd-wts Under Faultsmentioning

confidence: 99%

Overview of condition monitoring and operation control of electric power conversion systems in direct-drive wind turbines under faults

Huang

Xiao

et al. 2017

Front. Mech. Eng.

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“…For the fault problems of WECSs, in recent years, there is a great deal of research work focusing on the fault-tolerant control of WECS [12][13][14][15][16][17][18][19]. Shahbazi [12] designed a six/five-leg converter to realize active fault-tolerant control for open-circuit switch faults to solve unknown but bounded noise and modeling errors.…”

Section: Introductionmentioning

confidence: 99%

“…In [13], an adaptive step-by-step sliding mode observer and a compensation fault-tolerant control (FTC) strategy were developed for wind turbine pitch systems to maintain nominal pitching performance and compensate the considered low pressure actuator faults. Schulte [14] presented a T-S sliding mode observer for actuator fault diagnosis and fault compensation fault-tolerant control of hydrostatic transmission wind turbine. For a WECS system at a given operating point, Shi [15] formulated its Stochastic Piece Wise Affine (SPWA) model and implemented fault-tolerant control of WECS.…”

Section: Introductionmentioning

confidence: 99%

Stochastic Model Predictive Fault Tolerant Control Based on Conditional Value at Risk for Wind Energy Conversion System

et al. 2018

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Abstract:Wind energy has been drawing considerable attention in recent years. However, due to the random nature of wind and high failure rate of wind energy conversion systems (WECSs), how to implement fault-tolerant WECS control is becoming a significant issue. This paper addresses the fault-tolerant control problem of a WECS with a probable actuator fault. A new stochastic model predictive control (SMPC) fault-tolerant controller with the Conditional Value at Risk (CVaR) objective function is proposed in this paper. First, the Markov jump linear model is used to describe the WECS dynamics, which are affected by many stochastic factors, like the wind. The Markov jump linear model can precisely model the random WECS properties. Second, the scenario-based SMPC is used as the controller to address the control problem of the WECS. With this controller, all the possible realizations of the disturbance in prediction horizon are enumerated by scenario trees so that an uncertain SMPC problem can be transformed into a deterministic model predictive control (MPC) problem. Finally, the CVaR object function is adopted to improve the fault-tolerant control performance of the SMPC controller. CVaR can provide a balance between the performance and random failure risks of the system. The Min-Max performance index is introduced to compare the fault-tolerant control performance with the proposed controller. The comparison results show that the proposed method has better fault-tolerant control performance.

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“…Lin et al [10] proposed a hybrid transmission technology to reduce the displacement of the hydrostatic pump while retain the torque-stable feature of a hydrostatic transmission system. Schulte et al [11] presented a fault-tolerant control scheme based on sliding mode and tested for hydrostatic wind power systems. Similar with wind energy, tidal current energy can also be harvested with hydrostatic transmission by replacing wind turbines with current turbines [12,13].…”

Section: Introductionmentioning

confidence: 99%

Research on an Integrated Hydrostatic-Driven Electric Generator with Controllable Load for Renewable Energy Applications

Wang

2017

Energies

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Abstract:A hydrostatic transmission is a promising technology in renewable energy harvesting, such as wind energy and wave energy, where the hydrostatic-driven electric generator is a key energy conversion component. By using analytical and experimental methods, this paper investigates the performance of a novel hydrostatic-driven electric generator which integrates the functions of an axial piston hydrostatic motor and a permanent magnet electric generator together. The experimental platform consists of a prototype, an adjustable hydrostatic power source, a controllable electrical load, and various sensors. Energy conversions between hydrostatic and electrical forms are evaluated under different operating velocities and control signals. Power loss distributions are presented by combining measured data and analytical calculation. Thermal experiments are implemented under both of natural and oil-forced cooling conditions and it is found that the temperature rise is much lower when the machine is cooled by hydraulic oil. The experiments validate the energy conversion efficiency, steady controllability, and cooling capability of the integrated hydrostatic-driven electric generator. The results can provide references for further efficiency optimization, dynamic control, as well as practical application.

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Fault-tolerant control of wind turbines with hydrostatic transmission using Takagi–Sugeno and sliding mode techniques

Cited by 39 publications

References 8 publications

Overview of condition monitoring and operation control of electric power conversion systems in direct-drive wind turbines under faults

Overview of condition monitoring and operation control of electric power conversion systems in direct-drive wind turbines under faults

Stochastic Model Predictive Fault Tolerant Control Based on Conditional Value at Risk for Wind Energy Conversion System

Research on an Integrated Hydrostatic-Driven Electric Generator with Controllable Load for Renewable Energy Applications

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