Model-free intelligent proportional-integral control of a wind turbine for MPPT

Ardjal, Aghiles; Bettayeb, Maâmar; Mansouri, Rachid; Mehiri, Abdelbasset

doi:10.1109/icecta.2017.8251974

Cited by 3 publications

(5 citation statements)

References 23 publications

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“…Therefore, the auxiliary input u a ( t ) is designed for compensating the disturbance. Based on the framework of the sliding mode control, the integral sliding surface is chosen as below (Ardjal et al, 2017; Efe, 2010)…”

Section: Control Objectivementioning

confidence: 99%

“…To our best knowledge, iPID is an attractive approach that has gained a large amount of interest in recent years, where the unknown dynamics of the system were considered without any modeling procedure; it was firstly proposed by Fliess and Join (2008). iPID has been proved to provide effective control for several systems such as a quadrotor vehicle (Al et al, 2014) and to ensure the stability and robustness of control synthesis, an observer based on algebraic approach was used to estimate the unknown dynamics (Ardjal et al, 2017; Fliess and Join, 2013; Michel et al, 2010), and time delay estimator based-observer was utilized (Wang et al, 2015). Nevertheless, there are still open problems concerning the convergence speed of tracking error and the effect of measurement noises on the estimation performance (Mohammad et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Voltage control of solid oxide fuel cell power plant based on intelligent proportional integral-adaptive sliding mode control with anti-windup compensator

Abbaker

Wang

Tian

2019

Transactions of the Institute of Measurement and Control

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Solid oxide fuel cell (SOFC) plant is considered a most important type in the field of fuel cells, which gives control difficulties such as fuel flow constraints, load disturbance, system nonlinearities, and parameter uncertainties. However, due to these difficulties, the voltage control of SOFC plant is extremely difficult. In this paper, a new intelligent proportional integral-adaptive sliding mode control (iPI-ASMC) with anti-windup compensator is proposed to control the output voltage of SOFC plant to keep up with the rated voltage. The referred iPI-ASMC is made of three sub-components: (i) an extended state observer (ESO)-based-intelligent proportional-integral to estimate the unknown dynamic, (ii) an adaptive sliding mode control is added to compensate the estimation error of unknown dynamic, and (iii) an anti-windup compensator based on back-calculation is used to deal with saturation problem which is caused by input constraints. Moreover, the effectiveness and efficiency of the proposed iPI-ASMC strategy is demonstrated by comparing with some other approaches such as conventional proportional integral-derivative (PID) controller, intelligent proportional-integral (iPI) and fuzzy PID controller. Corresponding simulation results show that the proposed iPI-ASMC approach provides better dynamic responses and outperforms to compared methods in term of settling time, peak overshoots, integral absolute error (IAE), integral square error (ISE), and integral time absolute error (ITAE).

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Section: Control Objectivementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Voltage control of solid oxide fuel cell power plant based on intelligent proportional integral-adaptive sliding mode control with anti-windup compensator

Abbaker

Wang

Tian

2019

Transactions of the Institute of Measurement and Control

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“…MFC has been successfully applied all over the world as demonstrated by the references in [13]- [15]. See already [16], [17] for its relevance to wind turbine. We show here the interest of MFC to control the pitch angle and the generator torque for low and high winds.…”

Section: Introductionmentioning

confidence: 98%

First Steps Toward a Simple but Efficient Model-free Control Synthesis for Variable-speed Wind Turbines

Lafont

Balmat

Join

et al. 2021

International Journal of Circuits, Systems and Signal Processing

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In Although variable-speed three-blade wind turbines are nowadays quite popular, their control remains a challenging task. We propose a new easily implementable model-free control approach with the corresponding intelligent controllers. Several convincing computer simulations, including some fault accommodations, shows that model-free controllers are more efficient and robust than classic proportional-integral controllers.

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“…However, the development of controllers based on input-output (I/O) data is of major interest. In the literature, among the different data-driven model-free control (MFC) approaches (Ardjal et al, 2017;Fliess, 2009;Fliess et al, 2006;Precup et al, 2014Precup et al, , 2017Roman et al, 2021), we find intelligent model-free controllers that generally use proportional, proportional-integral (PI), or proportional-integral-derivative (PID) controllers. These are commonly known as intelligent proportional (iP), intelligent proportional-integral (iPI), and intelligent PID (iPID) controllers.…”

Section: Introductionmentioning

confidence: 99%

“…In contrast to previous work, in Wang et al’s study (2016d), the switching function S is defined as the terminal non-singular FOSMC, and in Wang et al’s study (2018), an FOSMC has been added as an additional input to compensate for the estimation error of the classical iPID. In order to get the performance of data-driven MFC, we relied, on this study, on the MFC approaches proposed by Fliess et al (2006), Fliess (2009), Precup et al (2014, 2017), Ardjal et al (2017), and Roman et al (2021). We also used the conventional anti-windup control method proposed by Choi and Lee (2009) and Ohishi et al (2006).…”

Section: Introductionmentioning

confidence: 99%

Improved model-free fractional-order intelligent proportional–integral fractional-order sliding mode control with anti-windup compensator

Ardjal

Bettayeb

Mansouri

2022

Transactions of the Institute of Measurement and Control

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In addition to the difficulty of system modeling, every physical system faces actuator saturation, making the real control different from the controller output (desired control input). When this occurs, the controller output does not regulate the system properly and errors occur as a result of incorrect updating. This is known as the windup phenomenon. In the event that the controller is configured to override actuator saturation, it can lead to a failure in the controller’s performance, such as large overshoots, high response time, and even system instability in the worst case. Therefore, in this paper, a new robust model-free controller method is proposed. It is a combination of four nonlinear control techniques, namely model-free controller, fractional-order sliding mode controller, fractional integral–proportional (PI) controller, and anti-windup compensator, which gives rise to the new model-free controller algorithm called hybrid fractional-order intelligent PI fractional sliding mode controller with an anti-windup compensator termed (MF-FOiPI-FOSMC-AW). However, to illustrate the effectiveness of the new proposed MF-FOiPI-FOSMC-AW method, simulation and experimental results compared to classical PI and iPI controllers (with and without an anti-windup compensator) on a hydraulic system are presented in the presence or absence of external disturbances for different types of references. Finally, simulation is conducted through an experimental comparison of the proposed approach with other strategies such as the classical anti-windup PI controller and the anti-windup intelligent PI controller, which is carried out for this purpose.

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Model-free intelligent proportional-integral control of a wind turbine for MPPT

Cited by 3 publications

References 23 publications

Voltage control of solid oxide fuel cell power plant based on intelligent proportional integral-adaptive sliding mode control with anti-windup compensator

Voltage control of solid oxide fuel cell power plant based on intelligent proportional integral-adaptive sliding mode control with anti-windup compensator

First Steps Toward a Simple but Efficient Model-free Control Synthesis for Variable-speed Wind Turbines

Improved model-free fractional-order intelligent proportional–integral fractional-order sliding mode control with anti-windup compensator

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