导管架式海洋平台自适应预测逆控制研究

文章提出了一种新的基于动态刚度阵法的导管架式海洋平台模糊神经网络自适应预测逆控制模型。该模型是通过安放在海洋平台桩腿上的压力传感器实时采集海洋平台所受波浪力,然后应用动态刚度阵法快速而准确地计算出平台顶部的响应,再将此响应作为模糊神经网络预测逆控制器的输入信号,预测出下一时刻平台顶部的控制力来对海洋平台振动响应进行控制;同时,通过反馈的自适应预测逆控制器来减小扰动和前馈控制的误差。为了验证该模型的抗干扰能力,文中还对有随机风载荷扰动情况下的导管架式海洋平台主动控制进行了研究。最后的数值算例结果表明,文中所提出的导管架式海洋平台主动控制模型具有较强的抗干扰能力,能很好地解决控制系统中存在的时滞问题,可有效地控制导管架式海洋平台的振动响应。

Adaptive predictive inverse control for offshore jacket platform

A new active control scheme of fuzzy neural network (FNN) adaptive predictive inverse control (APIC) for jacket offshore platforms based on dynamic stiffness matrix (DSM) method is presented. The pressure transducers which are placed on the leg of the offshore platform are used for measuring the random wave forces in real time. And then the responses on the top of the platform under these random wave forces are calculated quickly and accurately by the DSM method. The calculated responses are taken as the in...