罗健, 李浩, 戴燕晨, 魏超. 基于PSO寻优相对变论域Fuzzy-Pid复合控制方法[J]. 微电子学与计算机, 2015, 32(1): 109-113,119.
引用本文: 罗健, 李浩, 戴燕晨, 魏超. 基于PSO寻优相对变论域Fuzzy-Pid复合控制方法[J]. 微电子学与计算机, 2015, 32(1): 109-113,119.
LUO Jian, LI Hao, DAI Yan-chen, WEI Chao. Hybrid Control Method of Conversely Variable Universe Fuzzy-Pid Based on PSO Optimization[J]. Microelectronics & Computer, 2015, 32(1): 109-113,119.
Citation: LUO Jian, LI Hao, DAI Yan-chen, WEI Chao. Hybrid Control Method of Conversely Variable Universe Fuzzy-Pid Based on PSO Optimization[J]. Microelectronics & Computer, 2015, 32(1): 109-113,119.

基于PSO寻优相对变论域Fuzzy-Pid复合控制方法

Hybrid Control Method of Conversely Variable Universe Fuzzy-Pid Based on PSO Optimization

  • 摘要: 设计了Fuzzy-Pid复合控制器.其中Fuzzy控制使用一种新的相对变论域方法,该方法通过保持量化因子、比例因子和实际论域不变而只对Fuzzy控制器的输入输出信号进行扩张,从而达到相对变论域的目的.将形式简洁且绝对值小于1的幂函数作为相对变论域控制的伸缩因子,应用改进的PSO(Particle Swarm Optimization)算法对伸缩因子的相关参数离线进行寻优,采用与Pid结合的复合控制策略消除Fuzzy控制的固有静差,仿真实验结果表明该方法的可行性和有效性.

     

    Abstract: To ensure the accuracy of line of sight stabilization and improve the dynamic response capability, the conversely variable universe Fuzzy(CVU-Fuzzy)control method is used. This method changes the universe by operating with the input and output of the controller while keeping the quantization factor, scale factor and the actual universe constant. A contraction-expansion factor within 1 with simple form is adopted to set the Fuzzy reasoning system thus changing the universe conversely. Then optimise the parameters of contraction-expansion factors off-line by utilizing particle swarm optimization algorithm. A hybrid controller combines with CVU-Fuzzy and Pid is proposed to eliminate the static error. simulation results indicates that the method is feasible and effective.

     

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