Design of H-infinity Controller for Wind Turbine in the Cold Weather Conditions

In this study, robust control methods are employed to control the permanent magnet synchronous motor. Features such as good performance despite the vehicle's load torque disturbance, measurement noise, system parameter changes and high-frequency uncertainties of structured and unstructured types make this approach more effective. The control objective is controlling and maintaining the vehicle speed and motor torque in driver's desired references. In this study, a μ controller and a reduced order μ controller are designed for the first time due to simplicity and easy implementation of the optimal H ∞ controller. Simulation studies are carried out in this study to evaluate the control performance of the designed control systems. Comparison studies show that the proposed controllers have several advantages compared to the proportional-integralderivative controller including reference speed and torque tracking, mean square error, disturbance rejection and noise attenuation.

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“…By definition, the closed‐loop system achieves RS provided that it is internally stable for each possible plant dynamics

G = F_{u} ()(, G_{nom}, normalΔ)

[30].…”

Section: Robust Control Designmentioning

confidence: 99%

Design of robust control for a motor in electric vehicles

Pourseif

Mohajeri

2020

IET Electrical Systems in Transportation

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“…In another study, an H ∞ robust control algorithm was designed by increasing the blade mass simulation model, and the results showed that, with model uncertainty, the H ∞ controller was more stable compared to conventional PI control [15]. Additionally, in the simulation study of a pitch H ∞ controller designed exclusively for the rated power region, the authors showed that the pitch H ∞ control algorithm reduced the standard deviation in the rotor speed of a wind turbine in the rated power region compared to the conventional control algorithm, especially in environments with sensor noise and extreme wind conditions [16].…”

Section: Introductionmentioning

confidence: 98%

A Study on H∞-Fuzzy Controller for a Non-Linear Wind Turbine with Uncertainty

Jeon,

Song,

Paek

2023

Applied Sciences

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In this study, an H∞-fuzzy controller is proposed for application in wind turbines with uncertainties and nonlinearities. The performance of the proposed controller was validated via dynamic simulations using a commercial aero-elastic code and wind tunnel experiments employing a scaled wind turbine. The simulation and the experimental results were then compared with those of the conventional PI and LQR control algorithms presented in our previous study. In the simulation, the perturbation and the sensor noise were applied to reflect uncertainty and nonlinearity effects. In addition, in the wind tunnel experiment, a control system using a commercial Bachmann PLC was established with an accelerometer to estimate the fatigue load exerted by the rotor thrust. It was confirmed through experiments that the robustness and adaptation of the control system improved in the situation of pitch system failure. As a result of the experiment, the proposed H∞ controller was able to reduce the rotor speed fluctuation by 39.9%, the power fluctuation by 32.0%, and the fatigue load by 2.4% compared with the LQR fuzzy controller, which had better performance than the conventional PI controller. In addition, it was confirmed through experiments that the robustness and adaptation of the control system were well maintained. This was even true in the situation of one-blade pitch system failure.

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Application of an Augmented Unscented H-infinity Effective Wind Speed Estimation to H-infinity Control of Wind Turbines

Owen¹,

Pieper

2021

2021 IEEE Electrical Power and Energy Conference (EPEC)

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Design of H-infinity Controller for Wind Turbine in the Cold Weather Conditions

Cited by 5 publications

References 24 publications

Design of robust control for a motor in electric vehicles

Design of robust control for a motor in electric vehicles

A Study on H∞-Fuzzy Controller for a Non-Linear Wind Turbine with Uncertainty

Application of an Augmented Unscented H-infinity Effective Wind Speed Estimation to H-infinity Control of Wind Turbines

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