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使用改进的粒子群算法优化海洋双燃料发动机的PID控制参数.

Zhuo Hu1, Weihao Guo1, Kege Zhou1

  • 1Faculty of Maritime and Transportation, Ningbo University, Ningbo, 315211, People's Republic of China.

Scientific reports
|June 3, 2024
PubMed
概括

改进的粒子集群优化 (PSO) 算法优化了船舶双燃料发动机的比例整合导数 (PID) 控制,提高了稳定性和效率. 与传统方法相比,这种先进的方法显著减少了响应时间和错误.

关键词:
空气与燃料的比率是什么?双燃料发动机的发动机是双燃料发动机.燃料更换率比率 燃料更换比率在PID控制中,PID控制器粒子群算法 粒子群算法

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