ABSTRACT

The objective is to propose a networked control system (NCS) predictive vibration controller capable of handling the inevitable random disturbances for steel jacket-type offshore platforms under irregular wave forces. We present a model of a networked control system with two buffers. The model is then applied for the vibration control of offshore platforms. The buffers are designed to solve the control problems using a novel derivation of the Lyapunov stability criterion based on the previously received packets of time. The evolved bat algorithm is utilized to simplify the computation of the control law and reduce the amount of storage required, for a methodology which physically realizable and easy to complete. The method is applied in an example for a steel jacket-type offshore platform and the findings show that the network based predictive vibration controller can efficiently compensate for random big delays, large packet dropouts and disordering. The improvement of the presented predictive controller means that it can significantly decrease oscillation of the offshore platform while simultaneously keeping the required control force on an ideal small scale.

摘要

目的是提出一种网络控制系统（NCS）预测振动控制器，能够处理不规则波浪力下钢导管架式海上平台不可避免的随机扰动。我们提出了一个具有两个缓冲区的网络控制系统模型。然后将该模型应用于海上平台的振动控制。缓冲器被设计为使用基于先前接收的时间包的李雅普诺夫稳定性准则的新推导来解决控制问题。进化的蝙蝠算法用于简化控制律的计算并减少所需的存储量，是一种物理上可实现且易于完成的方法。将该方法应用于钢导管架式海上平台的一个例子中，结果表明基于网络的预测振动控制器可以有效地补偿随机大延迟、大数据包丢失和无序。所提出的预测控制器的改进意味着它可以显着减少海上平台的振荡，同时将所需的控制力保持在理想的小规模。