2006
DOI: 10.1002/we.205
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A fuzzy logic pitch angle controller for power system stabilization

Abstract: In this article the design of a fuzzy logic pitch angle controller for a fixed speed, active‐stall wind turbine, which is used for power system stabilization, is presented. The system to be controlled, which is the wind turbine and the power system to which the turbine is connected, is described. The advantages of fuzzy logic control when applied to large‐signal control of active‐stall wind turbines are outlined. The general steps of the design process for a fuzzy logic controller, including definition of the … Show more

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Cited by 44 publications
(20 citation statements)
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“…In recent literature, multiinput multioutput (MIMO) control techniques such as linear-quadratic (LQ) [14], fuzzy logic [15], model predictive control (MPC) [16], linear parameter-varying (LPV) [17], and H 2 -H ∞ [18] controllers have been tested for wind turbine power production. Conventional IPC is typically based on designing a PI controller for different operating conditions and for each load peak to be targeted.…”
Section: Introductionmentioning
confidence: 99%
“…In recent literature, multiinput multioutput (MIMO) control techniques such as linear-quadratic (LQ) [14], fuzzy logic [15], model predictive control (MPC) [16], linear parameter-varying (LPV) [17], and H 2 -H ∞ [18] controllers have been tested for wind turbine power production. Conventional IPC is typically based on designing a PI controller for different operating conditions and for each load peak to be targeted.…”
Section: Introductionmentioning
confidence: 99%
“…Since the active and reactive power outputs of DFIG can be controlled independently by the power converters based on vector control [8], flux magnitude and angle control [9], the DFIG can be applied to stabilize the power oscillation. The power oscillation damper (POD) is equipped with the DFIG wind turbine with the same function as PSS.…”
Section: Introductionmentioning
confidence: 99%
“…One of the approaches to achieve these goals is to improve the wind turbine control system. There has been a lot of research activity in this area and here are some of the relevant methods, along with the referenced application to wind turbines: Maximum Power Point Tracking (MPPT) [1], Individual Pitch Control (IPC) [2], H ∞ control [3], Linear Parameter-Varying (LPV) theory [4], [5], Model Predictive Control (MPC) [6], Quantitative Feedback Theory (QFT) [7], fuzzy control [8] etc. Application of these advanced control methods to wind turbines has two main goals: (i) increase in energy conversion efficiency, (ii) reduction of wind turbine structural loads.…”
Section: Introductionmentioning
confidence: 99%