Fuzzy, integer and fractional-order control: Application on a wind turbine benchmark model

Viveiros, Carla; Melício, Rui; Igreja, José M.; Mendes, V.M.F.

doi:10.1109/mmar.2014.6957360

Cited by 9 publications

(4 citation statements)

References 14 publications

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“…For instance, surely fuzzy controllers have much more parameters to set (membership functions and rule base), but in spite of better performance in regulating the rotor speed, the control signal becomes higher in comparison to a simple PI/FOPI controller. Thus, although more advanced controllers might reduce IAE, they do not necessarily resolve all the demands [43].…”

Section: Test On the Two-mass Modelmentioning

confidence: 99%

Load mitigation of a class of 5-MW wind turbine with RBF neural network based fractional-order PID controller

et al. 2020

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Section: Test On the Two-mass Modelmentioning

confidence: 99%

Load mitigation of a class of 5-MW wind turbine with RBF neural network based fractional-order PID controller

et al. 2020

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“…In particular: the study on the performance of five different controllers, PI, FOPI, Fuzzy PI, LQG and MPC applied to WEnCS [6,7]; the development of a hierarchical structure with two operating levels: execution and supervision level. The supervision level, based on FSM's which represent the operating regions, determines the operational states.…”

Section: Original Contributionsmentioning

confidence: 99%

Control and Supervision of Wind Energy Conversion Systems

Viveiros¹,

Melício²,

Igreja³

et al. 2016

Technological Innovation for Cyber-Physical Systems

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This paper is about a PhD thesis and includes the study and analysis of the performance of an onshore wind energy conversion system. First, mathematical models of a variable speed wind turbine with pitch control are studied, followed by the study of different controller types such as integer-order controllers, fractional-order controllers, fuzzy logic controllers, adaptive controllers and predictive controllers and the study of a supervisor based on finite state machines is also studied. The controllers are included in the lower level of a hierarchical structure composed by two levels whose objective is to control the electric output power around the rated power. The supervisor included at the higher level is based on finite state machines whose objective is to analyze the operational states according to the wind speed. The studied mathematical models are integrated into computer simulations for the wind energy conversion system and the obtained numerical results allow for the performance assessment of the system connected to the electric grid. The wind energy conversion system is composed by a variable speed wind turbine, a mechanical transmission system described by a two mass drive train, a gearbox, a doubly fed induction generator rotor and by a two level converter. Keywords (separated by '-')Modelling -Simulation -Wind energy -Controllers -Supervision -Performance assessment Abstract. This paper is about a PhD thesis and includes the study and analysis of the performance of an onshore wind energy conversion system. First, mathematical models of a variable speed wind turbine with pitch control are studied, followed by the study of different controller types such as integer-order controllers, fractional-order controllers, fuzzy logic controllers, adaptive controllers and predictive controllers and the study of a supervisor based on finite state machines is also studied. The controllers are included in the lower level of a hierarchical structure composed by two levels whose objective is to control the electric output power around the rated power. The supervisor included at the higher level is based on finite state machines whose objective is to analyze the operational states according to the wind speed. The studied mathematical models are integrated into computer simulations for the wind energy conversion system and the obtained numerical results allow for the performance assessment of the system connected to the electric grid. The wind energy conversion system is composed by a variable speed wind turbine, a mechanical transmission system described by a two mass drive train, a gearbox, a doubly fed induction generator rotor and by a two level converter. Control and Supervision of Wind Energy Conversion Systems

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“…Supervisory control of PID is utilized in Reference for improving the performance of the DFIG based wind energy conversion system (WECS). In Reference , authors have presented that FOPI controller gives enhanced performance compared to fuzzy and IOPI controllers. The clear merit of utilizing the FOPI controller is that it can enhance dynamic attributes of the system.…”

Section: Introductionmentioning

confidence: 99%

Comparative analysis of fractional order PI and integer order PI based controller for hybrid standalone wind energy conversion system

Jain

Saravanakumar

2019

Env Prog and Sustain Energy

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This article presents a comprehensive analysis of fractional order proportional integral (FOPI) and integer order proportional integral (IOPI) controllers for voltage and frequency control of a variable speed hybrid standalone wind energy conversion system. Variations in wind velocity and load introduce the changes in terminal voltage and frequency. This can be controlled by an appropriate controller with satisfactory response. In this work, FOPI controller is proposed for controlling the terminal voltage and frequency. Dual second order generalized integral phase locked loop (DSOGI‐PLL) is utilized to track the system frequency. Fractional‐order controller is implemented for voltage source converter, which makes it robust due to their fractional characteristics. FOPI (PIλ) provides an additional degree of freedom (λ), along with proportional gain (Kp) and integral gain (Ki). The robustness of the controller is validated through simulations in MATLAB/simulink and its performance is compared with IOPI under various operating conditions. The results show that, FOPI based controller is able to maintain the terminal voltage and frequency constant with improved transient response in comparison to IOPI. Finally, performance assessment of the controllers is carried out using performance metrics.

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Fuzzy, integer and fractional-order control: Application on a wind turbine benchmark model

Cited by 9 publications

References 14 publications

Load mitigation of a class of 5-MW wind turbine with RBF neural network based fractional-order PID controller

Load mitigation of a class of 5-MW wind turbine with RBF neural network based fractional-order PID controller

Control and Supervision of Wind Energy Conversion Systems

Comparative analysis of fractional order PI and integer order PI based controller for hybrid standalone wind energy conversion system

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