优化用于船舶推进的生物柴油燃气轮机控制系统

A. Machmudah, E. A. Bakar, Ranjendran R, Wibowo Harso Nugroho, M. I. Solihin, Abdul Ghofur
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引用次数: 0

摘要

减少船舶运输的气体排放已成为国际海事组织实现清洁能源的主要目标。实现这一目标的最佳方案之一是将船舶推进燃料从化石燃料转变为基于可再生能源的燃料。本文研究了用于船舶推进的可再生能源小型燃气涡轮发动机控制系统的优化问题。拟议的控制系统由比例积分和发动机性能限制器组成,以避免发动机损坏。比例积分增益通过鲸鱼优化算法进行调整。对阶跃响应进行增益调度分析,以获得调整参数的搜索区域和恒定增益值。在这一步骤中,增益被模拟为工厂变量的函数。获得搜索区域后,使用鲸鱼优化算法对比例积分增益进行优化,同时将附加增益设置为恒定值。通过这种方案,成功实现了稳定的最优增益。结果表明,与之前的方法(即增益调度和鲸鱼优化算法优化的增益调度)相比,提议的方法具有更好的性能。拟议方法的适配值最低,且不存在过冲问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Control system optimisation of biodiesel-based gas turbine for ship propulsion
Reducing a gas emission of shipping transportations become a main goal of international maritime organization to achieve a clean energy. One of best scenarios to achieve this goal is to shift a fossil fuel to a renewable energy-based fuel of a ship propulsion. This paper studies an optimization of a control system of the renewable-based small gas turbine engine for the ship propulsion. Proposed control system consists of a proportional-integral with engine performance limiters to avoid an engine damage. Proportional-integral gains are tuned by a whale optimization algorithm. A gain scheduling analysis of a step response is performed to obtain a searching area of tuning parameters and values of constant gains. In this step, the gains are modeled as function of plant variables. After the searching area is obtained, the proportional-integral gains are optimized using the whale optimization algorithm while the additional gains are set as constant values. Using this scenario, stable and optimal gains have been successfully achieved. Results show that the proposed method has better performance than that of the previous methods, i.e. gain scheduling and gain scheduling optimized by the whale optimization algorithm. The proposed method has lowest fitness value and does not have an overshoot problem.
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