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A novel method using PFA in parameters turning of PID controller of high-order system

机译:一种新的PFA在高阶系统PID控制器的参数转动中的一种新方法

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This paper uses a new bionic algorithm in turning of PID parameters. The Paddy Field Algorithm (PFA) is operated in the parametric space from the initial scattering of seeds. The number of seeds of every plant depends on the function value, as the plant, the closest optimal solution, produces the most seeds. The produced seeds also depend on the number of the plant's neighbors, for only a percentage is viable due to pollination. Moreover, the seeds of each plant must be dispersed in order to prevent being stuck in local minima. We thus applied this improved algorithm to design the PID controller of a high-order system. The effect of various parameters on the performance of the algorithm was also studied. Its performance is tested with the PID and PSO algorithms. The results show that the approach is effective and the designed controller has a better performance of overshoot and settling time.
机译:本文采用了一种新的仿生算法转动PID参数。 稻田算法(PFA)在从种子的初始散射中在参数空间中操作。 每种植物的种子数量取决于函数值,因为植物最接近的最佳解决方案,产生最多的种子。 产生的种子也取决于植物邻居的数量,因为授粉只有百分比是可行的。 此外,必须分散每种植物的种子以防止在局部最小值中被卡。 因此,我们应用了这种改进的算法来设计高阶系统的PID控制器。 还研究了各种参数对算法性能的影响。 它的性能与PID和PSO算法进行了测试。 结果表明,该方法是有效的,设计的控制器具有更好的过冲和稳定时间的性能。

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