Adaptive Incremental PID Control of Electric Stimulation Therapy Device Based on Improved Great Wall Construction Algorithm
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.
electric stimulation therapy devicefunctional electrical stimulationincremental PIDImproved Great Wall Construction AlgorithmSimulink
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