Evolved predictive vibration control for offshore platforms based on the Lyapunov stability criterion

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.

KEYWORDS:

• Offshore platform
• networked control systems
• time delays
• packet dropout
• disordering
• predictive control

Disclosure statement

No potential conflict of interest was reported by the author(s).