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Accurate Bolt Tightening Using Model-Free Fuzzy Control for Wind Turbine Hub Bearing Assembly

机译:无模型模糊控制的风力发电机轮毂轴承组件精确螺栓紧固

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In the modern wind turbine industry, one of the core processes is the assembly of the bolt-nut connections of the hub, which requires tightening bolts and nuts to obtain well-distributed clamping force all over the hub. This force deals with nonlinear uncertainties due to the mechanical properties and it depends on the final torque and relative angular position of the boltut connection. This paper handles the control problem of automated bolt tightening processes. To develop a controller, the process is divided into four stages, according to the mechanical characteristics of the boltut connection: a fuzzy logic controller (FLC) with expert knowledge of tightening process and error detection capability is proposed. For each one of the four stages, an individual FLC is designed to address the highly nonlinearity of the system and the error scenarios related to that stage, to promptly prevent and avoid mechanical damage. The FLC is implemented and real time executed on an industrial PC and finally validated. Experimental results show the performance of the controller to reach precise torque and angle levels as well as desired clamping force. The capability of error detection is also validated.
机译:在现代风力涡轮机行业中,核心过程之一是轮毂的螺栓-螺母连接的组装,这需要拧紧螺栓和螺母以在整个轮毂上获得分布均匀的夹紧力。由于机械性能,该力处理非线性不确定性,并且取决于螺栓/螺母连接的最终扭矩和相对角位置。本文解决了自动螺栓拧紧过程的控制问题。为了开发控制器,根据螺栓/螺母连接的机械特性将过程分为四个阶段:提出了具有紧固过程和错误检测能力方面的专业知识的模糊逻辑控制器(FLC)。对于四个阶段中的每个阶段,都设计了一个单独的FLC,以解决系统的高度非线性和与该阶段有关的错误情况,从而迅速防止和避免机械损坏。在工业PC上实现并实时执行FLC,并最终进行验证。实验结果表明,该控制器可达到精确的扭矩和角度水平以及所需的夹紧力。错误检测的能力也得到了验证。

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