Optimal Multivariable Control for Wind Energy Conversion System - A comparison between H>inf<2>/inf<and H>inf<∞>/inf<controllers
“…Various solutions have been presented in literature. Most of them are based on linearization along trajectories or equilibria and application of advanced gain scheduling approaches; H 2 , H ∞ techniques are wisely applied to shape performances and robustness to some model uncertainties Bianchi et al [2005], Rocha et al [2005], Sloth et al [2009], Differently, in Bottasso et al [2007] a receding horizon nonlinear adaptive model predictive controller is proposed to enhance performance under large wind gusts and extreme off-design conditions. A different scenario takes place when medium power turbines are considered.…”
“…Various solutions have been presented in literature. Most of them are based on linearization along trajectories or equilibria and application of advanced gain scheduling approaches; H 2 , H ∞ techniques are wisely applied to shape performances and robustness to some model uncertainties Bianchi et al [2005], Rocha et al [2005], Sloth et al [2009], Differently, in Bottasso et al [2007] a receding horizon nonlinear adaptive model predictive controller is proposed to enhance performance under large wind gusts and extreme off-design conditions. A different scenario takes place when medium power turbines are considered.…”
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