基于CS算法的分数阶PID控制器轨迹跟踪整定

B. Ataşlar-Ayyıldız, O. Karahan
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引用次数: 4

摘要

研究了一种基于布谷鸟搜索(Cuckoo Search, CS)算法的分数阶PID (FOPID)控制器,用于高度非线性三自由度机械臂的轨迹跟踪控制。为了便于比较,传统的PID控制器也是通过CS进行整定的。为了优化控制器参数,采用了四种不同的时域代价函数。在不同的轨迹下,研究了调谐控制器的鲁棒性测试。仿真结果表明,所提出的FOPID控制器不仅保证了关节空间良好的跟踪性能,而且提高了系统对不同轨迹的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tuning of Fractional Order PID Controller using CS Algorithm for Trajectory Tracking Control
This study deals with a fractional order PID (FOPID) controller tuned by Cuckoo Search (CS) algorithm for the trajectory tracking control of a highly nonlinear 3 DOF robotic manipulator. For the purpose of comparison, a traditional PID controller is also tuned by CS. In order to optimize the controllers’ parameters, four different time domain cost functions are used. The robustness test of the tuned controllers is also investigated for a different trajectory. Finally, the simulation results reveal that the proposed FOPID controller can not only assure excellent tracking performance in Joint space, but also improves the robustness of the system for the different trajectory.
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