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适用于不同海浪的变参数减摇鳍控制器设计 被引量:1

Design of Variable Parameters Controller of Fin Stabilizer in Different Waves
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摘要 为了减小船舶的横摇,使船舶在海上能够安全地航行,减摇鳍是船舶减摇行之有效的方法。具体阐述应用80C196KC减摇鳍控制器的硬件和软件设计方法。为了能够使减摇鳍控制器达到更好的减摇效果,采用变参数PID控制方法,使得减摇鳍控制器能够更好地适应随机变化的海况,使减摇效果更加理想。减摇鳍控制器的设计主要包括PID控制器设计、航速调节器设计、浪级调节器设计。根据不同航速、浪级调节减摇鳍控制器的输出,使得减摇鳍能够平稳、可靠地工作。该控制器稍加调试就能满足实际的应用,具有实际的应用意义。 Fin stabilizer as one of the most effective methods for ships safe navigation on the sea is discussed. The hardware and software design method of the fin stabilizer controller based on 80C196KC is described. In the aspect of software design, the variable parameter PID control is used to get the better system performance. The fin stabilizer can be better adapted to the random sea condition, and the effectiveness is more ideal. The design of controller for fin stabilizer mainly includes the PID controller, the ship speed regulator and the wave grade regulator. According to different ship speed and wave grade, the output of fin stabilizer controller is regulated such that fin stabilizer could work stably and dependably. The controller design for fin stabilizer has the practical application value.
出处 《控制工程》 CSCD 北大核心 2009年第1期1-4,30,共5页 Control Engineering of China
基金 十五国防教研课题基金资助项目(10106-04030104)
关键词 减摇鳍 变参数PID控制器 浪级调节器 80C196KC单片机 fin stabilizer varying parameters PID wave scale controller 80C196KC microcontroller
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  • 1刘忠信,王增会,孙青林,陈增强,袁著祉.基于T-S模型的非线性多变量系统快速GPC控制[J].吉林大学学报(工学版),2004,34(z1):144-148. 被引量:2
  • 2Su Baili,Chen Zengqiang,Yuan Zhuzhi.Constrained predictive control based on T-S fuzzy model for nonlinear systems[J].Journal of Systems Engineering and Electronics,2007,18(1):95-100. 被引量:7
  • 3马鉴恩,汤振明.减摇鳍动态水动力性能水池模型实验报告[R].哈尔滨:哈尔滨工程大学船模水池实验室,2003.
  • 4Sperrymarine. The World Leading Ship Roll Stabil-izer[ EB/OL]. http://www. sperrymarine. northropgrumman. com/Products/Ship_ Stabilisers/gyrofin/howitworks/ ,2009.
  • 5Ivan F Confield, Derek G Mac Kay, Robeert G A,ei al. Lift Measurement [ P]. US: 0196508,2008.
  • 6Sato T. Design of a GPC-based PID controller for controlling a weigh £eeder[ J]. Control Engineering Practice,2010,18 (2.) : 105-113.
  • 7Jie Yanga,Xi Li,Hong-gang Moub,et al. Predictive control of solid oxide fuel cell based on an improved Takagi-Sugeno fuzzy model [J]. Journal of Power Sources,2009,193(2) :699-705.
  • 8W P Heath,Guang Li. Multipliers for model predi-ctive control with structured input constraints[ J]. Automatica,2010,46 ( 3 ) : 562-568.
  • 9Vojtech Vesely,Danica Rosinovd,Martin Foltin. Robust model predictive control design with input constraints[ J]. ISA Transactions, 2010,49(1):114-120.
  • 10Yun-Cheng Huang,Tzuu-Hseng S. Li. Fuzzy tenninal sliding-mode controller for robotic manipulators [ C]. International Conference on Mechatronics,2005.

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