Self-optimizing Pitch Control for Large Scale Wind Turbine Based on ADRC

Xia, Anjun; Hu, Guoqing; Li, Zheng; Huang, Dongxiao

doi:10.1088/1757-899x/301/1/012155

Cited by 8 publications

(8 citation statements)

References 2 publications

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“…By arranging a reasonable transition process, the generalized differential signal is extracted, and the overshoot caused by the excessive initial error is eliminated, thereby obtaining a smooth input signal. The differentiator of second-order nonlinear system is as follows [33].…”

Section: ) Design Of Tracking Differentiatormentioning

confidence: 99%

Variable Pitch Active Disturbance Rejection Control of Wind Turbines Based on BP Neural Network PID

et al. 2020

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When wind speeds are above the rated speed of variable speed variable pitch wind turbines, pitch angles are changed to keep output powers and rotor speeds at their rated values. For wind turbines with nonlinear and complex structure, conventional PID variable pitch controller is difficult to achieve precise control. In this paper, a variable pitch controller combining back-propagation(BP) neural network with PID (BP-PID) is proposed. By real-time detecting the deviation of the rotor speeds, the BP neural network with self-learning and weighting coefficient correction capability is used to adjust the PID parameters online and further to achieve the optimal combination of the PID parameters. Considering various uncertain disturbances and parameter changes on the mechanical components of the wind turbines, an active disturbance rejection pitch controller of the wind turbines is designed based on BP-PID algorithm. Combined with a tracking differentiator, an extended state observer (ESO) is employed to observe the state and disturbance of the system. In addition, in order to compensate the BP-PID variable pitch controller, nonlinear state error feedback control laws are designed by configuring nonlinear structures according to the state deviation between the extended state observer and the tracking differentiator. The simulation results show that the variable pitch active disturbance rejection control (ADRC) based on BP-PID can effectively estimate the system states and disturbances. And the proposed controller has good dynamic performance and strong robustness. INDEX TERMS Wind turbine, pitch control, BP-PID, active disturbance rejection control, extended state observer.

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Section: ) Design Of Tracking Differentiatormentioning

confidence: 99%

Variable Pitch Active Disturbance Rejection Control of Wind Turbines Based on BP Neural Network PID

et al. 2020

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“…The authors also reported that reduction in pitch activity was achieved when information about the future wind disturbance was included in the optimal control theory. A self-optimizing pitch control method based on the active-disturbance-rejection control theory is proposed by [48] to regulate the amplification coefficient automatically and keep the variation of pitch rate and rotor speed in proper ranges. Novel PI and PID based pitch control techniques have been proposed by [49] by synthesizing the optimization for PI parameters tuning, the estimation for unknown delay-perturbations, and the compensation for removing effects from delay-perturbations to actual outputs in wind turbine pitch control systems.…”

Section: Introductionmentioning

confidence: 99%

Multi-resolution wavelet pitch controller for spar-type floating offshore wind turbines including wave-current interactions

Sarkar

Chen

Fitzgerald

et al. 2020

Journal of Sound and Vibration

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This paper proposes a wavelet multi-resolution based individual pitch control strategy for spar-type floating offshore wind turbines (FOWTs) and investigates its performance under joint wind-wave-current loads considering the effects of wave-current interactions. A multi-resolution analysis (MRA) based wavelet controller that modifies an optimal control problem cast in linear quadratic regulator (LQR) form constrained to a band of frequency has been used in this paper. The weighting matrices of the LQ regulator are varied in different frequency bands depending on the emphasis to be placed on the response energy and control effort to minimize the cost functional of that frequency band. This formulation results in frequency band dependent controller gains that lead to a time-varying controller. Daubechies wavelet is used in the MRA based filter that ensures perfect decomposition of the time signal over a finite interval and fast numerical implementation for control application. The multi-resolution wavelet-LQR individual blade pitch controller is used to control blade out-of-plane vibrations with additional emphasis on 1P frequency of the wind turbine. The emphasis on 1P frequency along with the blade's out-of-plane natural frequency is shown to reduce aerodynamic loads corresponding to 1 st rotational frequency of the wind turbine which in turn reduces vibrations in other modes of the wind turbine. The proposed controller is simulated using a 5-MW baseline offshore wind turbine with realistic operational conditions including wave-current interactions. The controller has been proved to be effective in every analyzed met-ocean condition.

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“…Esta variação pode ocorrer por vários motivos: envelhecimento de componentes, mudança de características estruturais durante sua operação, variação de massa/carga, falta de conhecimento exato dos valores, por imperfeições na modelagem, dentre outras. Neste contexto, várias estratégias de controle robusto têm sido reportadas na literatura para solucionar o problema, com garantidas propriedades de estabilidade e convergência em malha fechada (Wu et al, 2018;Xia et al, 2018;Patelski and Dutkiewicz, 2020). O método de Controle com Rejeição Ativa de Distúrbios (do inglês, Active Disturbance Rejection Control-ADRC) está entre estas várias estratégias propostas, e será explorada neste artigo sob um paradigma diferenciado da teoria convencional (Madoński et al, 2015;Zuo et al, 2018;Meng et al, 2019).…”

Section: Introductionunclassified

“…A mudança de paradigma ADRC proposta no presente trabalho consiste em modificar a estrutura do ESO para projetar o sinal da lei de controle utilizando apenas umá unica estimativa do observador. Esta característica particular do método proposto contrasta com a abordagem ADRC tradicional, na qual a lei de controleé formada via uma parametrização linear nos estados estimados pelo ESO (Sun et al, 2016b,a;Wu et al, 2018;Xia et al, 2018;Patelski and Dutkiewicz, 2020). Para facilitar o entendimento do método proposto e suas características, este trabalho discute a aplicação do mesmo em plantas de segunda ordem.…”

Section: Introductionunclassified

Controle de Sistemas Incertos via Método ADRC - Um novo Paradigma

Gouvêa

Vasconcellos

Zachi

2020

Anais Do Congresso Brasileiro De Automática 2020

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Este artigo trata do problema de controle robusto de sistemas não lineares incertos pelo método de Controle com Rejeição Ativa de Distúrbios (ADRC). A escolha do método se dá por conta de sua conhecida propriedade de robustez contra incertezas paramétricas e dinâmicas não modeladas do sistema. Embora já tenham sido reportadas algumas variantes deste método de controle, a abordagem deste artigo se concentra na versão linear do mesmo conhecida pelo termo LADRC (Linear ADRC). Contudo, uma característica comum a todas as variantes deste método é a utilização de um observador estendido para estimar os estados e os sinais não mensuráveis da planta, para alimentar uma lei de controle por realimentação de estados parametrizada. A mudança de paradigma ADRC proposta no presente trabalho consiste em modificar a estrutura do observador estendido para projetar o sinal da lei de controle utilizando apenas uma única estimativa do observador. Apesar da modificação proposta, demonstra-se que as propriedades de estabilidade e convergência resultantes são equivalentes às do paradigma ADRC tradicional. O desempenho do controlador é ilustrado por simulação numérica.

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Self-optimizing Pitch Control for Large Scale Wind Turbine Based on ADRC

Cited by 8 publications

References 2 publications

Variable Pitch Active Disturbance Rejection Control of Wind Turbines Based on BP Neural Network PID

Variable Pitch Active Disturbance Rejection Control of Wind Turbines Based on BP Neural Network PID

Multi-resolution wavelet pitch controller for spar-type floating offshore wind turbines including wave-current interactions

Controle de Sistemas Incertos via Método ADRC - Um novo Paradigma

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