北华大学学报(自然科学版)2025,Vol.26Issue(1):133-140,8.DOI:10.11713/j.issn.1009-4822.2025.01.021
基于改进长城建造算法的电刺激治疗仪自适应增量式PID控制
Adaptive Incremental PID Control of Electric Stimulation Therapy Device Based on Improved Great Wall Construction Algorithm
摘要
Abstract
At present,electrical stimulation therapy devices have poor adaptive ability,and the control of electrical stimulation signals is not accurate and effective enough,making it difficult to fully simulate and adapt to the complex physiological processes of the human body.To improve the adaptive response and stability of functional electrical stimulation,an improved Great Wall Construction Algorithm is adopted to dynamically control the functional electrical stimulation signal in real-time.The simulation model of the adaptive control system of the electrical stimulation rehabilitation device was built in Simulink,and the influence of three different control algorithms,namely standard PID,Great Wall Construction Optimization Algorithm(GWCA),and Improved Great Wall Construction Algorithm(IGWCA),on the response of the electrical stimulation adaptive system was simulated and analyzed.The optimal value of IGWCA for optimizing the control parameters of the incremental PID algorithm was obtained as follows:Kp=52.36,Ki=0.51,and Kd=5.15.The simulation results show that compared with the other two control algorithms,IGWCA has the fastest response speed,reaching the set peak at 1.2 seconds,and exhibiting higher stability and smaller overshoot.Under the same conditions,IGWCA has higher optimization speed and convergence accuracy,and better adaptive control effect.This algorithm can significantly improve the applicability of electrical stimulation therapy devices in clinical and rehabilitation treatment applications.关键词
电刺激治疗仪/功能性电刺激/增量式PID/改进长城建造算法/SimulinkKey words
electric stimulation therapy device/functional electrical stimulation/incremental PID/Improved Great Wall Construction Algorithm/Simulink分类
计算机与自动化引用本文复制引用
祝燕,苗蓓蓓,刘洪波..基于改进长城建造算法的电刺激治疗仪自适应增量式PID控制[J].北华大学学报(自然科学版),2025,26(1):133-140,8.基金项目
吉林省中医药管理局中医药科技项目(2024154) (2024154)
吉林省教育厅科学技术研究项目(JJKH20240080KJ) (JJKH20240080KJ)
北华大学博士科研启动专项基金. ()