论文标题
通过子空间预测重复控制的浮动海上风力涡轮机的耐故障的个体音高控制
Fault-Tolerant Individual Pitch Control of Floating Offshore Wind Turbines via Subspace Predictive Repetitive Control
论文作者
论文摘要
单个音高控制（IPC）是一种有效且广泛使用的策略，可减轻风力涡轮机中的叶片负载。但是，常规IPC无法应付刀片和执行器断层，这种情况可能会导致紧急关闭并增加维护成本。在本文中，基于子空间预测重复控制（SPRC）方法，开发了易耐故障的个体音高控制（FTIPC）方案。为了实现这一目标，实现了在线子空间标识范例，以得出FOWT系统动力学的线性近似。然后，在健康和错误条件下，在操作条件下制定了重复的控制法，以在操作条件下实现减轻负载。由于用于在线子空间识别的激发噪声可能会干扰风力涡轮机的标称发电，因此开发了一种新颖的激发技术来限制特定频率的激发。结果表明，FTIPC可以实现大量载荷，同时有效地适应了刀片和执行器断层，并限制了持续令人兴奋的控制作用的能量。
Individual Pitch Control (IPC) is an effective and widely-used strategy to mitigate blade loads in wind turbines. However, conventional IPC fails to cope with blade and actuator faults, and this situation may lead to an emergency shutdown and increased maintenance costs. In this paper, a Fault-Tolerant Individual Pitch Control (FTIPC) scheme is developed to accommodate these faults in Floating Offshore Wind Turbines (FOWTs), based on a Subspace Predictive Repetitive Control (SPRC) approach. To fulfill this goal, an online subspace identification paradigm is implemented to derive a linear approximation of the FOWT system dynamics. Then, a repetitive control law is formulated to attain load mitigation under operational conditions, both in healthy and faulty conditions. Since the excitation noise used for the online subspace identification may interfere with the nominal power generation of the wind turbine, a novel excitation technique is developed to restrict excitation at specific frequencies. Results show that significant load reductions are achieved by FTIPC, while effectively accommodating blade and actuator faults and while restricting the energy of the persistently exciting control action.
