This paper presents a test benchmark model for the evaluation of fault detection and accommodation schemes. This benchmark model deals with the wind turbine on a system level, and it includes sensor, actuator, and system faults, namely faults in the pitch system, the drive train, the generator, and the converter system. Since it is a system-level model, converter and pitch system models are simplified because these are controlled by internal controllers working at higher frequencies than the system model. The model represents a three-bladed pitch-controlled variable-speed wind turbine with a nominal power of 4.8 MW. The fault detection and isolation (FDI) problem was addressed by several teams, and five of the solutions are compared in the second part of this paper. This comparison relies on additional test data in which the faults occur in different operating conditions than in the test data used for the FDI design.

Fault Tolerant Control of Wind Turbines Â– a Benchmark Model

A system and method of detecting an aberrant message is provided. An ordered set of words within the message is detected. The set of words found within the message is linked to a corresponding set of expected words, the set of expected words having semantic attributes. A set of grammatical structures represented in the message is detected, based on the ordered set of words and the semantic attributes of the corresponding set of expected words. A cognitive noise vector comprising a quantitative measure of a deviation between grammatical structures represented in the message and an expected measure of grammatical structures for a message of the type is then determined. The cognitive noise vector may be processed by higher levels of the neural network and/or an external processor.

Intelligent control with hierarchical stacked neural networks

Mechatronics Technology is a growing career field that deals with the integration of mechanical and electronic components managed by control systems. Mechatronics technicians troubleshoot, maintain and repair mechanical equipment controlled by electrical, electronic and computer systems. These types of systems are increasingly used in a wide variety of manufacturing and industrial settings. Clark College's Mechatronics Technology (MTX) classes emphasize current concepts and technology by providing practical, hands-on experiences with the latest, industry standard equipment. In addition to the technical knowhow needed to maintain and repair equipment, the certificate and degree programs will help prepare students to think critically, function as a successful team member and communicate clearly too internal and external customers.

Mechatronics기술개발 현황과 과제

A review on wind turbine control and its associated methods

Wind energy is contributing to more and more portions in the world energy market However, one deterrent to even greater investment in wind energy is the considerable failure rate of turbines In particular, large wind turbines are expensive, with less tolerance for system performance degradations, unscheduled system shut downs, and even system damages caused by various malfunctions or faults occurring in system components such as rotor blades, hydraulic systems, generator, electronic control units, electric systems, sensors, and so forth As a result, there is a high demand to improve the operation reliability, availability, and productivity of wind turbine systems It is thus paramount to detect and identify any kinds of abnormalities as early as possible, predict potential faults and the remaining useful life of the components, and implement resilient control and management for minimizing performance degradation and economic cost, and avoiding dangerous situations During the last 20 years, interesting and intensive research results were reported on fault diagnosis, prognosis, and resilient control techniques for wind turbine systems This paper aims to provide a state-of-the-art overview on the existing fault diagnosis, prognosis, and resilient control methods and techniques for wind turbine systems, with particular attention on the results reported during the last decade Finally, an overlook on the future development of the fault diagnosis, prognosis, and resilient control techniques for wind turbine systems is presented

/pdf/an-overview-on-fault-diagnosis-prognosis-and-resilient-2ent1ags0i.pdf

An Overview on Fault Diagnosis, Prognosis and Resilient Control for Wind Turbine Systems

https://vbn.aau.dk/ws/files/52661274/mechatronics_2011.pdf

Robust and fault-tolerant linear parameter-varying control of wind turbines

This paper addresses the design and comparison of active and passive fault-tolerant linear parameter-varying (LPV) controllers for wind turbines. The considered wind turbine plant model is characterized by parameter variations along the nominal operating trajectory and includes a model of an incipient fault in the pitch system. We propose the design of an active fault-tolerant controller (AFTC) based on an existing LPV controller design method and extend this method to apply for the design of a passive fault-tolerant controller (PFTC).

Active and passive fault-tolerant LPV control of wind turbines

This paper considers the design of robust LMIbased controllers for a wind turbine along its entire nominal operating trajectory. The proposed robust controller design takes into account parametric uncertainties in the model using a structured uncertainty description, which makes the controllers less conservative than controllers designed using unstructured uncertainty descriptions. The LMI-based approach enables additional constraints to be included in the design, which is exploited to include requirements for minimizing fatigue loads and actuator usage.

Robust LMI-based control of wind turbines with parametric uncertainties

The invention describes a method of controlling a wind turbine (1, 1_up, 1_down), which method comprises the steps of obtaining a number of operating values (110) relevant to a wind turbine (1, 1_up, 1_down); calculating a thrust setpoint (21, 21_up, 21_down) on the basis of the operating values (110); and controlling a wind turbine (1, 1_up, 1_down) according to a thrust setpoint (21, 21_up, 21_down). The invention also describes a wind park controller (20), a wind turbine controller (10), and a wind park (2).

Method of controlling a wind turbine

Method for lubricating at least one blade pitch bearing of a wind turbine, particularly a variable-pitch wind turbine, the wind turbine comprising a rotor hub having a number of rotor blades, with each rotor blade being supported to the rotor hub by at least one blade pitch bearing, whereby at least one rotor blade is pitchable and a rotor blade pitch control device adapted to control pitching of the at least one rotor blade, characterised in - determining the state of lubrication of at least one blade pitch bearing by a lubrication detection device generating at least one lubrication information signal indicating a degree of lubrication of the at least one blade pitch bearing by measuring the electrical capacitance and/or resistance of the at least one blade pitch bearing, and - actuating a rotor blade lubricating device to perform at least one action to lubricate the at least one blade pitch bearing, if the lubrication information signal indicates that the at least one blade pitch bearing is not sufficiently lubricated.

Method for lubricating at least one blade pitch bearing of a wind turbine

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