This paper proposes an adaptive sliding mode control algorithm based on particle swarm opti-mization to address the issues of nonlinear hysteresis and poor accuracy in the control process of shape memory alloy(SMA)materials.Firstly,a shape memory alloy actuator device was constructed,and a mechanism model of the actuator was established.Based on this,an adaptive sliding mode controller was designed.In or-der to address the problems of chattering and slow convergence in the sliding mode control process,a satura-tion function approach law was introduced,and particle swarm optimization(PSO)was used to optimize the sliding mode controller parameters.The simulation results show that compared to traditional PID and sliding mode controllers,the adaptive sliding mode control algorithm based on PSO optimization has higher response speed,stability,and robustness for the system control of shape memory alloy actuators.
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