内燃机工程2026，Vol.47Issue(2)：37-46,10.DOI:10.13949/j.cnki.nrjgc.2026.02.005
船舶柴油机突变工况转速自适应瞬态控制
Adaptive Transient Control of Marine Diesel Engine Speed Under Sudden Operating Conditions
摘要
Abstract
A transient simulation model for marine diesel engines was established based on inter-cycle state transfer and transient accumulation.The model was calibrated using data from diesel engine bench tests,achieving an overall accuracy exceeding 95%.A back propagation(BP)neural network was integrated with proportional-integral-derivative(PID)control to autonomously develop an adaptive governor.Subsequently,transient performance analysis under varying exhaust back pressures was conducted for load mutation conditions involving a three-step load surge and a single-step load rejection.The engine speed fluctuations under control by different governors were comparatively investigated.The results demonstrate that,compared to the traditional PID governor,the adaptive governor reduced the instantaneous speed regulation rate by 37.94%and decreased the speed stabilization time by 37.48%.The adaptive speed regulator can effectively solve the problem of speed control under rapidly changing conditions of marine diesel engines.Furthermore,research on the impact of the learning rate and momentum term on governor performance indicates that selecting a smaller learning rate coupled with a larger momentum term is more suitable for marine diesel engines experiencing frequent load fluctuations.关键词
船舶柴油机/突变工况/瞬态仿真/神经网络/自适应控制Key words
marine diesel engine/abrupt conditions/transient simulation/neural network/adaptive control分类
能源科技引用本文复制引用
王亮,王兆文,张睿哲,孙伟..船舶柴油机突变工况转速自适应瞬态控制[J].内燃机工程,2026,47(2):37-46,10.基金项目
国家自然科学基金项目(52206144) （52206144）
工信部高技术船舶项目([2022]296) National Natural Science Foundation of China(52206144) （[2022]296）
High Technology Shipbuilding Project from the Ministry of Industry and Information Technology of China([2022]296) （[2022]296）
