基于神经网络PID的SMA丝恒输出力控制方法

doi:10.3969/j.issn.0255-8297.2023.04.015

Abstract

Abstract: To realize the constant output force control of shape memory alloys (SMA) wire, a constant output force control method based on particle swarm optimization neural network proportion integral differential (PID) is proposed. This paper examines the relationship between SMA wire self-perceived resistance value, output force, and temperature, with SMA wire resistance used as system feedback. Particle swarm algorithm is then applied to optimize the parameters of PID, achieving accurate control of constant output force of SMA wire, thereby reducing overshoot and improving response speed compared to traditional PID control.

Key words: shape memory alloy, particle swarm optimization, neural network optimization, PID constant force control

CLC Number:

TP18

WANG Ben, Lü Peilun, WANG Yangwei. Control Method of SMA Wire Constant Output Force Based on Neural Network PID[J]. Journal of Applied Sciences, 2023, 41(4): 718-726.

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Control Method of SMA Wire Constant Output Force Based on Neural Network PID

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