郭旭敏, 张月琴, 冯珊珊. 基于改进粒子群的汽轮机高精度叶片控制算法研究[J]. 微电子学与计算机, 2013, 30(5): 145-148.
引用本文: 郭旭敏, 张月琴, 冯珊珊. 基于改进粒子群的汽轮机高精度叶片控制算法研究[J]. 微电子学与计算机, 2013, 30(5): 145-148.
GUO Xu-min, ZHANG Yue-qin, FENG Shan-shan. Research on Turbine High Precision Blade Control Based on Improved Particle Swarm Algorithm[J]. Microelectronics & Computer, 2013, 30(5): 145-148.
Citation: GUO Xu-min, ZHANG Yue-qin, FENG Shan-shan. Research on Turbine High Precision Blade Control Based on Improved Particle Swarm Algorithm[J]. Microelectronics & Computer, 2013, 30(5): 145-148.

基于改进粒子群的汽轮机高精度叶片控制算法研究

Research on Turbine High Precision Blade Control Based on Improved Particle Swarm Algorithm

  • 摘要: 为了提高汽轮机叶片的加工精度和加工效率,提出了基于改进粒子群的汽轮机高精度叶片控制算法研究.在该控制算法中,首先利用NURBS曲线拟合汽轮机叶片截面型线的不同弧度,进而对汽轮机叶片的几何模型进行构造;然后利用改进的粒子群算法对冗余误差插补算法的输出参数进行调节,进而对汽轮机叶片高精度加工的控制参数输入进行迭代寻优;最后通过NURBS曲线构建的实体汽轮机叶片模型进行了实验仿真.仿真结果表明,该算法能够使汽轮机叶片的加工质量更均匀,并且能够灵活地调节进给速度,从而提高加工效率.

     

    Abstract: In order to improve the machining precision and efficiency of the turbine blades, the proposed control algorithm based on improved particle swarm Turbine high precision blades. In the control algorithm, the first to take advantage of different curvature of NURBS curve fitting of the turbine blade section line, and then be constructed geometric model of the turbine blades; then take advantage of the improved particle swarm algorithm to adjust the output parameters of the the redundant error of interpolation algorithm turn on the input of the control parameters of the high--precision machining of steam turbine blades iterative optimization; Finally NURBS curves constructed entity turbine blade model experimental simulation. Simulation results show that the algorithm enables the processing quality of the steam turbine blade is more uniform, and the flexibility to adjust the feed speed, thereby improving processing efficiency.

     

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