UDE-based control of variable-speed wind turbine systems

Ren, Beibei; Wang, Yeqin; Zhong, Qing Chang

doi:10.1080/00207179.2015.1126678

Cited by 61 publications

(26 citation statements)

References 32 publications

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“…Second, the reference model could also provide the derivative information of x 1r (t). However, the reference model can be omitted, as long as the command signal has smooth derivatives as high as the system order [25].…”

Section: -2 / Vol 140 December 2018mentioning

confidence: 99%

“…Benefiting from the excellent performance in handling the uncertainties and disturbances is yet a simple control scheme, the UDE-based control has been applied to many types of practical systems in recent years, such as robot manipulators [23], aeroengine [24], wind turbine systems [25], wing rock motion [26], DC-DC converters [27], quadrotors [21], grid-connected inverters [28], VTOL aircraft [29], power plant [30]. However, it should be noted that the structural constraint [7], that is equivalent to the matching condition of uncertainties and disturbances, has not been relaxed yet in the UDE-based control, which restricts the further application of the UDE-based control to some systems with mismatched uncertainties and disturbances.…”

Section: Introductionmentioning

confidence: 99%

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Uncertainty and Disturbance Estimator-Based Backstepping Control for Nonlinear Systems With Mismatched Uncertainties and Disturbances

Dai

Ren

Zhong

2018

Journal of Dynamic Systems, Measurement, and Control

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This paper proposes an uncertainty and disturbance estimator (UDE)-based controller for nonlinear systems with mismatched uncertainties and disturbances, integrating the UDE-based control and the conventional backstepping scheme. The adoption of the backstepping scheme helps to relax the structural constraint of the UDE-based control. Moreover, the reference model design in the UDE-based control offers a solution to address the “complexity explosion” problem of the backstepping approach. Furthermore, the strict-feedback form condition in the conventional backstepping approach is also relaxed by using the UDE-based control to estimate and compensate “disturbance-like” terms including nonstrict-feedback terms and intermediate system errors. The uniformly ultimate boundedness of the closed-loop system is analyzed. Both numerical and experimental studies are provided.

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Section: -2 / Vol 140 December 2018mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Uncertainty and Disturbance Estimator-Based Backstepping Control for Nonlinear Systems With Mismatched Uncertainties and Disturbances

Dai

Ren

Zhong

2018

Journal of Dynamic Systems, Measurement, and Control

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“…Bahsedilen çalışmada, belirsizliklerin ve bozan etkilerin varlığında denetimi sağlayabilmek amacıyla, denetleyici bozan etki ve belirsizlik kestirimcisi ile desteklenmiştir. Bozan etki ve belirsizlik kestirimcisi temelli vektör denetimi kalıcı mıknatıslı senkron üreteç tabanlı değişken hızlı rüzgâr türbini sisteminin denetim problemine bir çözüm olarak düşünülmüş olan bir diğer yaklaşımdır [21]. Petkovic ve diğerleri, [22] çalışmasında değişken hızlı rüzgâr türbinlerinin rotor hızlarını uyarlamalı bir nöro-bulanık sonuç sistemi temelli akıllı bir denetleyici ile ayarlayarak rüzgâr türbininin en üst verim noktasında çalışmasını sağlamışlardır.…”

Section: Introductionunclassified

A Backstepping Nonlinear Control Design for Variable Speed Wind Turbines

Bıdıklı¹

2019

Pamukkale J Eng Sci

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Değişken hızlı rüzgâr türbinlerinin rotor hızını uygun bir şekilde denetlemek, enerji üretimini ve güç verimliliğini eniyilemek için başvurulabilecek yöntemlerden bir tanesidir. Bu çalışmanın temel hedefi değişken hızlı rüzgâr türbinlerinin rotor hızı denetimini sağlayabilecek yapıda özgün bir doğrusal olmayan dayanıklı ve uyarlamalı denetleyici tasarlamaktır. Değişken hızlı rüzgâr türbinlerinin mekanik ve elektrik yapıları incelendiğinde geri adımlamalı denetim tasarımı yaklaşımının bu tip sistemler için denetleyici tasarımı gerçeklemeye oldukça uygun olduğu tespit edilmiştir. Bu durum göz önünde bulundurularak bu çalışmada sunulan denetleyici yapısı geri adımlamalı denetim tasarımı yaklaşımı kullanılarak tasarlanmıştır. Denetleyicinin dayanıklı yapısı sistem modeli ve parametreleri hakkında herhangi bir bilgiye ihtiyaç duyulmaksızın denetim hedefine ulaşmaya olanak sağlarken, uyarlamalı yapısı ise denetim esnasında parametrik belirsizlikleri telafi edebilmektedir. Tasarlanan denetleyicinin kuramsal çözümlemesi Lyapunov-tabanlı bir yöntemle tamamlanarak çalışmada sunulmuştur. Elde edilen sonuçlar, tasarlanan denetleyicinin başarımının kuramsal bir ispatı niteliğindedir. Tasarımın başarımını daha net bir şekilde ortaya koymak için ise takip rotası olarak farklı rotor hızı senaryoları kullanılan benzetimler yapılmış ve bu benzetimlerin sonuçlarına çalışmada yer verilmiştir. Controlling the rotor speed of variable speed wind turbines properly is one of the most appropriate methods to optimize the energy production and power efficiency of these type of energy production systems. Designing a novel nonlinear robust adaptive controller that is able to provide the rotor speed control of variable speed wind turbines is the main purpose of this study. It was identified that the backstepping control design technique is a feasible way to design a controller for variable speed wind turbines when their mechanical and electrical subsystems are considered. The control design presented in this study is designed via backstepping control design approach by considering this issue. Robust structure of the designed controller provides that it reaches control purpose without using any information about system model and its parameters while it adaptive structure compensates the parametric uncertainties during the control process. Lyapunov-based arguments are used to complete the theoretical analysis of the designed controller. Results of this analysis theoretically prove that the designed controller is able to reach the control purpose. Additionally, performance of the designed controller is demonstrated via numerical simulation results that are realized by considering different desired rotor speed scenarios.

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“…6 The aforementioned features greatly increase the difficulty of the attitude and position control of helicopter, and therefore, the controller design has been focused by numerous researchers. [7][8][9][10][11][12] To guarantee a safe and stable flight of the helicopters, a large number of effective control schemes have been developed, for example, adaptive control, 13,14 fuzzy control, neural network (NN)-based intelligent control, [15][16][17] sliding mode control, 18 backstepping control, 19 robust control, [20][21][22] and so on. In the study by Chen and Yu, 18 a terminal sliding mode control with disturbance observer was employed to estimate modeling uncertainties and external disturbances.…”

Section: Introductionmentioning

confidence: 99%

Deterministic learning enhanced neutral network control of unmanned helicopter

Jiang

Yang

Dai

et al. 2016

International Journal of Advanced Robotic Systems

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In this article, a neural network-based tracking controller is developed for an unmanned helicopter system with guaranteed global stability in the presence of uncertain system dynamics. Due to the coupling and modeling uncertainties of the helicopter systems, neutral networks approximation techniques are employed to compensate the unknown dynamics of each subsystem. In order to extend the semiglobal stability achieved by conventional neural control to global stability, a switching mechanism is also integrated into the control design, such that the resulted neural controller is always valid without any concern on either initial conditions or range of state variables. In addition, deterministic learning is applied to the neutral network learning control, such that the adaptive neutral networks are able to store the learned knowledge that could be reused to construct neutral network controller with improved control performance. Simulation studies are carried out on a helicopter model to illustrate the effectiveness of the proposed control design.

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UDE-based control of variable-speed wind turbine systems

Cited by 61 publications

References 32 publications

Uncertainty and Disturbance Estimator-Based Backstepping Control for Nonlinear Systems With Mismatched Uncertainties and Disturbances

Uncertainty and Disturbance Estimator-Based Backstepping Control for Nonlinear Systems With Mismatched Uncertainties and Disturbances

A Backstepping Nonlinear Control Design for Variable Speed Wind Turbines

Deterministic learning enhanced neutral network control of unmanned helicopter

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