Flutter suppression of blade section based on model prediction control

2020 ◽  
Vol 42 (9) ◽  
pp. 1654-1666
Author(s):  
Ting-Rui Liu
Keyword(s):  
Model Prediction ◽  
Sliding Mode ◽  
Dynamic Modelling ◽  
Point Of View ◽  
Remarkable Effect ◽  
Flutter Suppression ◽  
Model Prediction Control ◽  
Blade Section ◽  
Prediction Control ◽  
And Control

Flutter suppression of wind turbine blade section based on two types of model prediction control (MPC) algorithms is investigated. The pre-twist blade, exhibiting displacements of flap-wise bending and lead-lag bending, employs 2D airfoil analysis method, and is subjected to destructive divergent instability displacements. Dynamic modelling of two-dimensional (2D) blade section is based on data analysis characterized by data fitting. The MPC methods including standard MPC and terminal-weight MPC are used to realize flutter suppression for divergent instability. Vibration control and control effects of terminal-weight MPC on divergent instability are analyzed in detail, with different parameters of prediction horizon and control horizon discussed. The superiority of terminal-weight MPC can be apparently demonstrated by comparison of standard MPC and sliding mode control with disturbance observer (SMCDO). The feasibility of hardware implementation of MPC algorithm is discussed by human-computer interaction platform. The performance improvement method of the terminal-weight MPC based on offset control has been refined from the point of view of practical application, with its remarkable effect compared with the original terminal-weight MPC.

scholarly journals Quadratic feedback–based equivalent sliding mode control of wind turbine blade section based on rigid trailing-edge flap

2019 ◽  
Vol 52 (1-2) ◽  
pp. 81-90 ◽  
Author(s):  
Ting-Rui Liu
Keyword(s):  
Sliding Mode Control ◽  
Wind Turbine ◽  
Control Algorithm ◽  
Sliding Mode ◽  
Trailing Edge ◽  
Feedback Parameter ◽  
Flutter Suppression ◽  
Mode Control ◽  
Blade Section ◽  
Trailing Edge Flap

Modeling of aeroelastic system of wind turbine blade section based on chordwise rigid trailing-edge flap has been investigated. The flutter suppression of blade section exhibiting flap-wise bending and twist deformation is performed by equivalent sliding mode control. Aerodynamic expressions are based on the modified quasi-steady model which is attached to the influences of trailing-edge flap. The continuous equivalent sliding mode control algorithm based on quadratic feedback parameter is applied to realize flutter suppression, with displacements and velocities, control input of angle of trailing-edge flap and sliding mode function demonstrated. To facilitate the process of computer implementation, the discrete equivalent sliding mode control algorithm is discussed in detail, with better control effects and angle control of trailing-edge flap demonstrated. The quadratic feedback–based equivalent sliding mode control algorithm, including continuous equivalent sliding mode control and discrete equivalent sliding mode control, realizes the analysis of control effects based on feedback parameter with empirical adjustment coefficient. This provides schemes of not only theoretical simulation but also real-time implementation for the application of equivalent sliding mode control in different engineering projects.

scholarly journals Vibration Control of Blade Section Based on Sliding Mode PI Tracking Method and OPC Technology

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Tingrui Liu
Keyword(s):  
Vibration Control ◽  
Sliding Mode ◽  
Engineering Application ◽  
Control Input ◽  
Pi Method ◽  
Opc Technology ◽  
Practical Engineering ◽  
Blade Section ◽  
The Stability ◽  
And Control

Vibration control of the blade section of a wind turbine is investigated based on the sliding mode proportional-integral (SM-PI) method, i.e., sliding mode control (SMC) based on a PI controller. The structure is modeled as a 2D pretwisted blade section integrated with calculation of structural damping, which is subjected to flap/lead-lag vibrations of instability. To facilitate the hardware implementation of the control algorithm, the SM-PI method is applied to realize tracking for limited displacements and velocities. The SM-PI algorithm is a novel SMC algorithm based on the nominal model. It combines the effectiveness of the sliding mode algorithm for disturbance control and the stability of PID control for practical engineering application. The SM-PI design and stability analysis are discussed, with superiority and robustness and convergency control demonstrated. An experimental platform based on human-computer interaction using OPC technology is implemented, with position tracking for displacement and control input signal illustrated. The platform verifies the feasibility and effectiveness of the SM-PI algorithm in solving practical engineering problems, with online tuning of PI parameters realized by applying OPC technology.

An adaptive-prediction-horizon model prediction control for path tracking in a four-wheel independent control electric vehicle

2019 ◽  
Vol 233 (12) ◽  
pp. 3246-3262 ◽  
Author(s):  
Bing Zhang ◽  
Changfu Zong ◽  
Guoying Chen ◽  
Guiyuan Li
Keyword(s):  
Electric Vehicle ◽  
Model Prediction ◽  
Hierarchical Control ◽  
Path Tracking ◽  
Vehicle Dynamic ◽  
Independent Control ◽  
Prediction Horizon ◽  
Adaptive Prediction ◽  
Model Prediction Control ◽  
Prediction Control

An adaptive-prediction-horizon model prediction control-based path tracking controller for a four-wheel independent control electric vehicle is designed. Unlike traditional model prediction control with fixed prediction horizon, this paper devotes to satisfy the varied path tracking demand by adjusting online the prediction horizon of model prediction control according to its effect on vehicle dynamic characteristics. Vehicle dynamic stability quantized with the vehicle sideslip-feature phase plane is preferentially considered in the prediction horizon adjustment. For stability during switching prediction horizon and for robustness during path tracking, the numerical problem inherent in the adaptive-prediction-horizon model prediction control is analysed and solved by introducing exponentially decreasing weight. Subsequently, the desired motion for path tracking with the four-wheel independent control electric vehicle is realized with a hierarchical control structure. Simulation results finally illustrate the effectiveness of the proposed method.

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