基于偏移量控制的MPC算法在预扭叶片振动控制中的应用

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摘要针对风力机叶片的不稳定振动，阐述基于偏移量控制的模型预测控制（MPC）算法在预扭叶片振动控制中的应用。结构模型是基于结构阻尼计算的2D预扭典型截面，基于通用2D挥舞/摆振模型进行挥舞角/摆振角的变换，纳入了不同预扭角度下的结构阻尼。气动力是基于拟合气动系数的“六级正弦和”模型。基于偏移量控制和给定目标值的MPC算法，研究基于时域响应的稳定性分析和振动控制方法。MPC控制算法基于状态空间描述，实现位移响应分析及控制信号展示，利用罚权值实现设定点跟踪和控制信号变换，并制约输出信号幅度，迫使其急速衰减。通过变化的结构阻尼、预测水平系数和不同的目标参数下的响应分析，并对比线性二次型控制结果，验证了MPC算法的鲁棒性。

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	刘廷瑞
	常林

关键词 ：模型预测控制, 结构阻尼, 拟合气动系数, 偏移量控制, 罚权值, 预测水平

Abstract：In order to deal with the unstable vibration of wind turbine blades, this study is to investigate the application of the model prediction control (MPC) algorithm based on offset control in vibration control of pretwisted blades. The structure was modeled as a 2D pretwisted blade section with structural damping computed, which is based on the conversion from a general 2D flap/lag model into a flapping-angle/lagging-angle model, and incorporates the structural damping under different pretwisted angles. Aerodynamic expressions are based on the fitting Sin6 model. Stability analysis of time response and vibration control were investigated based on the MPC algorithm with offset control and given target values. The MPC algorithm is based on state-space description. The MPC performance was used to realize time-domain response analysis of displacement and manipulated signal display. It uses the penalty weighting for setpoint tracking and for changes in manipulated variables, and restricts the amplitude of output signal, forcing it to decrease rapidly. The robustness of the MPC algorithm was verified by varying structural damping, the coefficients of varying prediction horizon and the response analysis of different target parameters, and the comparison of the results of linear quadratic control.

Key words： Model prediction control structural damping fitting aerodynamic coefficient offset control penalty weighting prediction horizon

收稿日期: 2017-11-29 出版日期: 2019-06-28

引用本文:

刘廷瑞,常林. 基于偏移量控制的MPC算法在预扭叶片振动控制中的应用[J]. 振动与冲击, 2019, 38(13): 172-178.
LIU Tingrui, CHANG Lin. Application of the MPC algorithm based on offset control in vibration control of pretwisted blades. JOURNAL OF VIBRATION AND SHOCK, 2019, 38(13): 172-178.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2019/V38/I13/172

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