Research on Pneumatic Control of a Pressurized Self-Elevating Mat for an Offshore Wind Power Installation Platform

• Published in: Sensors (Basel, Switzerland) Vol. 23; no. 24; p. 9910
• Main Authors: Cui, Junguo, Shi, Qi, Lin, Yunfei, Shi, Haibin, Yuan, Simin, Xiao, Wensheng
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 18.12.2023; MDPI
• Subjects: Air-turbines; Algorithms; Control systems; Design; fuzzy neural network PID; Green technology; Neural networks; Offshore; pneumatic control system; Pneumatics; pressurized self-elevating mat; Wind power; wind power installation platform; China; wind power installation platform; pressurized self-elevating mat; pneumatic control system; fuzzy neural network PID
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s23249910

Efficient deep-water offshore wind power installation platforms with a pressurized self-elevating mat are a new type of equipment used for installing offshore wind turbines. However, the unstable internal pressure of the pressurized self-elevating mat can cause serious harm to the platform. This paper studies the pneumatic control system of the self-elevating mat to improve the precision of its pressure control. According to the pneumatic control system structure of the self-elevating mat, the pneumatic model of the self-elevating mat is established, and a conventional PID controller and fuzzy PID controller are designed and established. It can be seen via Simulink simulation that the fuzzy PID controller has a smaller adjustment time and overshoot, but its anti-interference ability is relatively weak. The membership degree and fuzzy rules of the fuzzy PID controller are optimized using a neural network algorithm, and a fuzzy neural network PID controller based on BP neural network optimization is proposed. The simulation results show that the overshoot of the optimized controller is reduced by 9.71% and the stability time is reduced by 68.9% compared with the fuzzy PID. Finally, the experiment verifies that the fuzzy neural network PID controller has a faster response speed and smaller overshoot, which improves the pressure control accuracy and robustness of the self-elevating mat and provides a scientific basis for the engineering applications of the self-elevating mat.