首页> 外文期刊>Future Internet >The Optimization of Marine Diesel Engine Rotational Speed Control Process by Fuzzy Logic Control Based on Particle Swarm Optimization Algorithm
【24h】

The Optimization of Marine Diesel Engine Rotational Speed Control Process by Fuzzy Logic Control Based on Particle Swarm Optimization Algorithm

机译:基于粒子群优化算法的模糊逻辑优化船用柴油机转速控制过程。

获取原文
           

摘要

The marine main diesel engine rotational speed automatic control plays a significant role in determining the optimal main diesel engine speed under impacting on navigation environment conditions. In this article, the application of fuzzy logic control theory for main diesel engine speed control has been associated with Particle Swarm Optimization (PSO). Firstly, the controller is designed according to fuzzy logic control theory. Secondly, the fuzzy logic controller will be optimized by Particle Swarm Optimization (PSO) in order to obtain the optimal adjustment of the membership functions only. Finally, the fuzzy logic controller has been completely innovated by Particle Swarm Optimization algorithm. The study results will be represented under digital simulation form, as well as comparison between traditional fuzzy logic controller with fuzzy logic control–particle swarm optimization speed controller being obtained.
机译:船用主柴油机转速自动控制在确定导航环境条件下的最佳主柴油机转速方面起着重要作用。在本文中,模糊逻辑控制理论在主柴油机速度控制中的应用已与粒子群优化(PSO)相关联。首先,根据模糊逻辑控制理论设计了控制器。其次,模糊逻辑控制器将通过粒子群优化(PSO)进行优化,以便仅获得隶属函数的最优调整。最后,通过粒子群优化算法对模糊控制器进行了全面创新。研究结果将以数字仿真形式表示,并且将传统模糊逻辑控制器与模糊逻辑控制-粒子群优化速度控制器进行比较。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号