Abstract
Divergent instability control of 2D pretwisted blade section of wind turbine driven by aerodynamic forces under disturbance is investigated. Realization of divergent instability control is based on two types of discrete sliding mode control algorithms. The structure is modeled as 2D pretwisted blade section integrated with structural damping, which is driven by aerodynamic model with perturbed disturbance. Discrete sliding mode control algorithm suitable for disturbance control is investigated to control divergent flap/lead-lag vibrations of blade section. To increase convergence performance and reduce the chattering phenomenon, discrete sliding mode control based on disturbance observer is applied. Convergence of disturbance observer is analyzed, and stability of closed-loop system is discussed. The simulation results show that not only the convergence accuracy can be improved by sliding mode control based on disturbance observer controller, but also the displacement chattering and the control input chattering can be effectively eliminated. Compared with conventional discrete sliding mode control, it has more advantages in the control of divergent instability. To facilitate the real-time realization and automation and at the same time to ensure accuracy, a design of quadratic feedback to build the performance control matrix in sliding mode control based on disturbance observer is developed in present study.
Highlights
Divergence instability control has been an important topic in the field of aeroelastic stability of wind turbine blades for a long time
Structure modeling and stall-induced instability analysis of individual turbine blade section subjected to combined flap/leadlag and flap/twist motions were investigated in earlier study,[1] with extended ONERA aerodynamic model and Navier–Stokes model applied to analyze aeroelastic stability
Still take the previous case under Performance improvement and automation (PIA) of sliding mode control (SMC)/DO algorithm in Figure 8, for example, with real-time feasibility shown in Figure 9(a) shows the touch screen interface which is connected to the port of programmable logic controller (PLC); Figure 9(b) shows the control input signal u and the sliding mode function
Summary
Divergence instability control has been an important topic in the field of aeroelastic stability of wind turbine blades for a long time. Because SMC was one of the effective nonlinear robust approaches with respect to system dynamics and invariant to uncertainties,[8] and Lyapunov stability approach and intelligent observer[10] were always used in SMC to keep the nonlinear system under control, SMC method integrated with Lyapunov analysis is used to realize the control of divergence instability in blade sectional movements in present study.
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