Comparison between linear and nonlinear control strategies for variable speed wind turbines

Boukhezzar, Boubekeur; Siguerdidjane, Houria

doi:10.1016/j.conengprac.2010.06.010

Cited by 149 publications

(78 citation statements)

References 14 publications

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“…This problem was initially considered in the heavy industry in various types of machines, such as: rolling mills [13], conveyor belts [10] or papermaking machines [20]. However, currently this problem is investigated also in the research on drives for: robots [4], throttling valves [21], wind generators [2] or modern servo drives with magnetic clutches [12].…”

Section: Introductionmentioning

confidence: 99%

Comparison of the control methods of electrical drives with an elastic coupling allowing to limit the torsional torque amplitude

Serkies¹

2017

EiN

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Article citation info: (*) Tekst artykułu w polskiej wersji językowej dostępny w elektronicznym wydaniu kwartalnika na stronie www.ein.org.pl Piotr SerkieSComparison of the Control methods of eleCtriCal drives with an elastiC Coupling allowing to limit the torsional torque amplitude porównanie metod sterowania napędem elektryCznym z połąCzeniem sprężystym pozwalająCe na ograniCzenie amplitudy momentu skrętnego* IntroductionModern power transmission systems are expected to show higher dynamics while preserving high precision and reliability. Such requirements results in an increasingly higher use of the properties and strength of construction materials. Therefore, in a growing number of drives one can observe finite stiffness of couplings between a drive and machinery. This problem was initially considered in the heavy industry in various types of machines, such as: rolling mills [13], conveyor belts [10] Various methods are used in the control of vehicle speed or the location of drives with an elastic coupling, starting with simple ones based on a PI controller tuned with account for coupling elasticity [22], to the introduction of additional feedbacks from one to a few state variables to such a controller, a detailed overview of such solutions can be found in [17]. Some other control systems use adaptive control. Such methods as fuzzy sliding mode control and neural control [3,7], as well as vortex control [14] can be distinguished here, this group of methods ensures good oscillation attenuation and it is additionally characterised by high resistance in the case of wrongly determined drive parameters. Another approach to adaptive is presented in [8,18], here a superior system was used to retune controller setting, it continuously reproduces the unknown and variable parameter. Yet another, not so common, is the sliding mode control [9].In the case drives with an elastic coupling, the major challenge faced by the control system is the attenuation of the oscillation of electro-mechanical state variables. However, another issue which appears in the discussed group of drives is the limitation of the torsional torque amplitude in such a way that the lives of mechanical couplings can be extended, which improves the reliability of the whole drive system. However, the above described methods do not allow to introduce the restriction of the values of state variables (torsional torque) in a simple way. The only restricted values is the set electromagnetic torque (control signal). In such systems the only way to limit the amplitude of internal state variables is weakening the dynamics of the whole system. Another approach which allows to introduce the value restrictions of a selected state variable is using the cascade control structure in which a separate, subordinate control loop is formed. Then it is possible to restrict such state variable [16]. One of the methods allowing to introduce the restrictions of the values of state variables is predictive control. This method allows to introduce limitations as early as the ...

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Section: Introductionmentioning

confidence: 99%

Comparison of the control methods of electrical drives with an elastic coupling allowing to limit the torsional torque amplitude

Serkies¹

2017

EiN

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“…Regarding the linear/nonlinear dichotomy there have been numerous comparative analyses applied to: wind tunnels [14], wind turbines [15], [16] and fuel cells [17]. This article is organized as it follows: In section 2 it is described the MS150 module for Feedback on which was made the implementation of the controllers to be compared.…”

Section: Introductionmentioning

confidence: 99%

A performance comparison of nonlinear and linear control for a DC series motor / Una comparación de desempeño del control Lineal y no lineal de un motor de corriente continua

2017

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The aim of this article is to compare the performance of linear and non-linear control in the case of a series wound DC motor. The research was focused on determining when the differences in the performance between these controllers are significant. The comparison was made on the MS150 feedback module and it included the phases of parameter estimation for the linear and the non-linear models, the statistical validation of these models and the design and implementation of the controllers. In order to make the comparison there were defined two performance criteria respectively based on the tracking error and on the control effort. These criteria were applied by considering three scenarios defined according to the range in which the velocity set point is varied. In the first scenario, the reference velocity remained constant and equal to the value of the operation point around which the linear model was obtained (60 %). In the second and third scenarios the reference velocity was respectively increased from 40 % to 60 % and from 20 % to 100 %. From the experimental tests it was observed for the scenarios two and three that the tracking error and the control effort for the linear controller are superior to the non-linear ones. While for the first scenario, the linear controller presents a lower tracking error with an approximately equal control effort . From this work it was concluded that for reference velocities that are close to the operation point, the linear controller presents a significant advantage over non-linear controller. ResumenEl objetivo de este artículo es comparar el rendimiento del control lineal y no lineal para el caso de un motor de corriente continua. La investigación se centra en determinar si las diferencias en el rendimiento entre estos controladores son significativos. La comparación se realizó en el módulo feedback MS150, se incluyen las fases de la estimación de parámetros para los modelos lineales y no lineales, la validación estadística de estos modelos y el diseño e implementación de los controladores. Con el fin de hacer la comparación se definieron dos criterios de rendimiento, basado en el error de seguimiento y en el esfuerzo de control. Estos criterios se aplicaron considerando tres escenarios definidos de acuerdo con el rango en el que se varía el punto de consigna de velocidad. En el primer escenario, la velocidad de referencia se mantuvo constante e igual al valor del punto de operación alrededor de la cual se obtuvo el modelo lineal (60 %). En el segundo y tercer escenario la velocidad de referencia se aumentó, respectivamente, de 40 % al 60 %, y del 20 % a 100 %. De las pruebas experimentales se observó para los escenarios de dos y tres que el error de seguimiento y el esfuerzo de control para el controlador lineal son superiores a las no lineales. Mientras que para el primer escenario, el controlador lineal presenta un error de seguimiento inferior con un esfuerzo de control aproximadamente igual. A partir de este trabajo se concluyó que para las velocidades de refe...

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“…The design of LMI-based robust controllers to control variable-speed, variable-pitch wind turbines, while taking into account parametric uncertainties in the aerodynamic model has been presented (Sloth et al, 2009). (Boukhezzar & Siguerdidjane, 2010) comparing several linear and nonlinear control strategies, with the aim of improving wind energy conversion systems. (Prats et al, 2000) have also investigated fuzzy logic controls to reduce uncertainties faced by classical control methods.…”

Section: Introductionmentioning

confidence: 99%

“…Robustness in fuzzy-model-based control has been extensively studied, such as stability robustness versus modelling errors and other various control techniques for Takagi-Sugeno (TS) fuzzy models Uhlen et al, 1994). In order to overcome nonlinearity and uncertainties, various schemes have been developed in the past two decades (Battista & Mantz, 2004;Boukhezzar & Siguerdidjane, 2010;Prats et al, 2000;Sloth et al, 2009). (Battista & Mantz, 2004) addressing problems of output power regulation in fixed-pitch variable-speed wind energy conversion systems with parameter uncertainties.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Control of Wind Energy Conversion Systems

Aïtouche¹,

Kamal²

2011

Wind Farm - Impact in Power System and Alternatives to Improve the Integration

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Comparison between linear and nonlinear control strategies for variable speed wind turbines

Cited by 149 publications

References 14 publications

Comparison of the control methods of electrical drives with an elastic coupling allowing to limit the torsional torque amplitude

Comparison of the control methods of electrical drives with an elastic coupling allowing to limit the torsional torque amplitude

A performance comparison of nonlinear and linear control for a DC series motor / Una comparación de desempeño del control Lineal y no lineal de un motor de corriente continua

Intelligent Control of Wind Energy Conversion Systems

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