Fuzzy-PID controlled lift feedback fin stabilizer

Abstract

Conventional PID controllers are widely used in fin stabilizer control systems, but they have time-variations, nonlinearity, and uncertainty influencing their control effects. A lift feedback fuzzy-PID control method was developed to better deal with these problems, and this lift feedback fin stabilizer system was simulated under different sea condition. Test results showed the system has better anti-rolling performance than traditional fin-angle PID control systems.

Design Fuzzy Input-Based Adaptive Sliding Mode Control for Vessel Lift-Feedback Fin Stabilizers with Shock and Vibration of Waves

“…There are two main reasons for the errors: firstly, whether the system feedback is accurate; secondly, whether the structure of control system is reasonable and control strategy is effective. Therefore, in engineering applications, aiming at system error of fin stabilizers, the control system with nonlinearity and uncertainty and the disturbance should be considered especially [2,7].…”

“…Since a nonadaptive controller may produce roll exacerbation rather than roll stabilization, one of the key issues in antirolling controllers is whether it can adapt to changes in the rough random waves. In addition, PID controller design depends on the exact model [7,8,12,14,15], while the rolling frequency, damping coefficient and loading conditions, and other variable parameters can directly affect the control effect.…”

“…Crossland [14] analyzed the effect of roll stabilization controllers on war-vessel operational performance. Ling et al [7] designed a fuzzy-PID controlled lift-feedback fin stabilizer. Xia et al [16] applied a fuzzy neural networkbased robust adaptive control for dynamic positioning of underwater vehicles with input dead-zone.…”