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一种模糊神经PID控制器的设计 被引量:4

The Design of a Fuzzy Neural PID Controller
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摘要 提出一种新型的模糊神经PID控制器,分析了其结构组成和基本性能。仿真结果表明,这种模糊神经PID算法的学习速度明显快于常规的BP算法,而且其控制系统具有较好的动态性能。 A new fuzzy neural PID controller was presented, it' s structure and performance were analyzed. The results of simulation show that the learning speed of fuzzy neural PID control algorithm is faster than the conventional BP algorithm, and the fuzzy neural PID control system has a good dynamic performance.
出处 《机床与液压》 北大核心 2008年第B07期329-330,295,共3页 Machine Tool & Hydraulics
关键词 模糊神经PID控制器 BP算法 动态性能 Fuzzy neural PID controller BP algorithm Dynamic performance
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参考文献5

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同被引文献24

  • 1孟庆春,齐勇,张淑军,杜春侠,殷波,高云.智能机器人及其发展[J].中国海洋大学学报(自然科学版),2004,34(5):831-838. 被引量:61
  • 2侯涛,董海鹰.基于THJ-3型的二容水箱模糊控制器设计与实验研究[J].兰州交通大学学报,2005,24(6):107-109. 被引量:10
  • 3张洁琦,刘弘.神经PID控制在电厂主汽温控制中的应用[J].计算机工程与应用,2006,42(30):202-204. 被引量:11
  • 4熊光明,赵涛,龚建伟,高峻峣.服务机器人发展综述及若干问题探讨[J].机床与液压,2007,35(3):212-215. 被引量:38
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  • 6赵蕊,贺建军.多传感器信息融合技术[J].计算机测量与控制,2007,15(9):1124-1126. 被引量:23
  • 7WORRAWlJT P, SOMPHONG T, MANUKID P. A- daptive Cruise Control for an Intelligent Vehicle [C]//Proceeding of the 2008 IEEE International Conference on Robotics and Biomimetics, Washing- toni IEEE, 2008 :1794.
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  • 9JIANMM S.Modeling and Intelligent Control of Vehicle Active Suspension System [ C]//IEEE International Conference on Robotics, Automation and Mechatronics, Chendu : IEEE, 2008 : 239.
  • 10HOWARD L,BRAN[X)N C. Non-time Based Motion Control for Multiple Intelligent Vehicles[C]//IEEE International Conference on Electronic and Computer Engineering, New Bryunswick: IEEE, 2009 : 646.

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