ANFIS-Based Airflow Control for Stabilizing Hybrid Floating Offshore Wind Turbine with Integrated Oscillating Water Columns

Estiningtyas, Danish Puspita (2025) ANFIS-Based Airflow Control for Stabilizing Hybrid Floating Offshore Wind Turbine with Integrated Oscillating Water Columns. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Platform hibrida yang menggabungkan Floating Offshore Wind Turbine (FOWT) dengan Oscillating Water Column (OWC) menawarkan solusi inovatif untuk meningkatkan efisiensi energi terbarukan. Namun, dinamika sistem yang kompleks dan nonlinier menjadi tantangan dalam mengelola osilasi akibat gangguan lingkungan seperti variasi kecepatan angin dan elevasi gelombang laut. Penelitian ini bertujuan untuk mengembangkan sistem kontrol aliran udara berbasis Adaptive Neuro-Fuzzy Inference System (ANFIS) guna meningkatkan stabilitas dan efisiensi operasional platform FOWT-OWC. Model platform hibrida dikembangkan untuk melakukan simulasi dinamika FOWT menggunakan MATLAB. Pengendali ANFIS digunakan untuk mengatur katup throttle pada OWC berdasarkan error sudut pitch platform dan turunannya. Hasil simulasi menunjukkan bahwa sistem kontrol berbasis ANFIS berhasil mengurangi osilasi pitch platform sebesar 8,5%, serta displacement fore-aft tower sebesar 4% dibandingkan dengan sistem tanpa kontrol. Dengan demikian, penelitian ini menegaskan peluang integrasi sistem kontrol ANFIS pada OWC dapat meningkatkan stabilitas FOWT dan mendukung pengembangan energi terbarukan secara lebih efisien.
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A hybrid platform integrating Floating Offshore Wind Turbines (FOWT) with Oscillating Water Columns (OWCs) offers an innovative solution to maximize offshore renewable energy. However, the nonlinear and complex dynamics of the system pose challenges in mitigating oscillations induced by environmental disturbances, such as varying wind speeds and wave elevations. This study aims to develop an Adaptive Neuro-Fuzzy Inference System (ANFIS)-based airflow control system to enhance the stability and operational efficiency of the hybrid FOWT-OWC platform. A hybrid platform model was developed to simulate FOWT dynamics using MATLAB. The ANFIS controller dynamically adjusts the throttle valves in the OWC chambers based on the platform pitch angle error and its derivative. Simulation results demonstrate that the ANFIS-based control system effectively reduces platform pitch oscillations by 8.5% and fore-aft tower displacement by 4% compared to an uncontrolled system. These findings highlight the opportunity of integrating ANFIS-controlled OWCs to improve FOWT stability and optimize offshore renewable energy generation.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Floating Offshore Wind Turbine (FOWT), Oscillating Water Column (OWC), Adaptive Neuro-Fuzzy Inference System (ANFIS), kontol struktural, Floating Offshore Wind Turbine (FOWT), Oscillating Water Column (OWC), Adaptive Neuro-Fuzzy Inference System (ANFIS), structural control
Subjects:	T Technology > T Technology (General) T Technology > T Technology (General) > T57.62 Simulation T Technology > TC Hydraulic engineering. Ocean engineering > TC1680 Offshore structures T Technology > TJ Mechanical engineering and machinery > TJ217 Adaptive control systems
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Danish Puspita Estiningtyas
Date Deposited:	07 Feb 2025 07:26
Last Modified:	07 Feb 2025 07:26
URI:	http://repository.its.ac.id/id/eprint/118560

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