Abstract
Ship antiroll gyros are a type of equipment used to reduce ships’ roll angle, and their parameters are related to the parameters of a ship and wave, which affect gyro performance. As an alternative framework, we designed a calculation method for roll reduction rate and considered random waves to establish a gyro parameter optimization model, and we then solved it through the bacteria foraging optimization algorithm (BFOA) and pattern search optimization algorithm (PSOA) to obtain optimal parameter values. Results revealed that the two methods could effectively reduce the overall mass and floor space of the antiroll gyro and improved its antirolling effect. In addition, the convergence speed and antirolling effect of the BFOA were better than that of the PSOA.
Highlights
The stability of a ship greatly influences its crew and built-in equipment [1]
The results indicated that the fore-aft displacement was reduced by 54.5% through the parameter optimization method [14]
Different ships have different working environments and different requirements for their antiroll gyros, which can be roughly summarized by two points: (1) the efficiency principle, which refers to the antirolling effect that antiroll gyro can achieve and is typically expressed as the roll reduction rate; and
Summary
The stability of a ship greatly influences its crew and built-in equipment [1]. reducing the roll motion of a ship is crucial. In 1904, Schlick first proposed placing a large gyro on a ship to provide a roll-damping moment [4]. Research is no longer limited to structural optimization but improving the performance of gyros around the control method [9,10,11]. Various gyro parameters produce various damping moments and antirolling effects. Research has been limited to the optimization of the gyro’s structure and control method and the lack of parameter optimization. Is a new swarm intelligence optimization algorithm It has the advantages of simple realization, group parallel search, fast convergence speed, and easy to jump out of the local optimal solution [16], so it has been widely used in many engineering fields. Considering the lack of research on gyro’s parameter optimization, we established a gyro’s parameter optimization model and solved it through the BFOA and PSOA to obtain optimal parameter values
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