Nonlinear controller supported by artificial intelligence of the rheological damper system reducing vibrations of a marine engine

In this paper, a semi-active nonlinear artificial intelligence compound controller for marine engines was developed to improve vibration reduction characteristics across wide frequency range. A mathematical model and investigated two-stage isolation systems (Virgin IslandsS) considering vertical, roll, pitch motion. The passive of the magnetorheological damper also integrated with VIS. numerical analysis validated through experimental investigation. Force transmitted from engine base evaluated on using four different strategies, that is, conventional passive, low, high, controlled damper. semi-active–controlled damper, is controlling force by developing intelligent (NAICC) algorithm chaotic fruit fly fuzzy logic control. results show application NAICC has better isolating effect than VIS over broad spectrum frequencies. By strengthening control in low-frequency resonance zone, performance significantly enhanced.