为了实现形状记忆合金（shape memory alloys,SMA）丝的恒输出力控制，提出了一种基于粒子群优化神经网络比例积分微分（proportion integral differential,PID）的恒输出力控制方法，在研究SMA丝自感知电阻阻值和输出力、SMA丝温度对应关系的基础上，采用SMA丝电阻作为系统反馈，利用粒子群算法和神经网络算法对PID的参数进行优化，实现了SMA丝的恒输出力精确控制，与传统PID控制相比，降低了超调量，提高了响应速度。
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.
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