模糊pid控制对帕金森手样震颤的抑制作用

A. As’arry, H. Jamaluddin, Tuan A. Z. Rahman, K. A. Rezali, Z. Zain
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引用次数: 5

摘要

本文介绍了一种主动振动技术在抑制手部震颤中的性能评价。提出了一种PID与模糊控制器相结合的线性电磁铁作动器控制方法,并将其应用于模拟帕金森病手部的四自由度生物动力学模型。采用启发式方法搜索控制器的合适参数值。然后,对模糊PID控制器与采用齐格勒-尼科尔斯法整定的传统PID控制器的性能进行了比较研究。仿真研究结果表明,模糊PID控制器与传统PID控制器性能相当。模糊PID控制器的有效衰减幅度约为96.77%,而PID控制器的有效衰减幅度约为89.37%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Suppression of Parkinson's hand-like tremor using fuzzy-PID controller
This paper presents the performance evaluation of an active vibration technique in suppressing human hand tremor. A PID integrated with fuzzy logic controller is proposed to control a linear electromagnet actuator and then applied onto a four Degree-of-Freedoms (DOFs) biodynamic model which emulate a Parkinson Disease (PD) hand. Heuristic method is employed in searching for appropriate parameters values for the proposed controller. Then, a comparative study between the performances of Fuzzy-PID controller and conventional PID controller tuned using Ziegler-Nichols method is done. The simulation study results demonstrates a comparable performance between Fuzzy-PID controller and conventional PID controller. Fuzzy-PID controller was effectively attenuated about 96.77% of initial tremor magnitude while for the PID controller is about 89.37%.
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