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In order to help students to study and understand the hysteresis phenomenon, a one-dimensional teaching platform for hysteresis compensation of voice coil motor is established. Meanwhile, the generalized Prandtl-lshlinskii hysteresis model is used to model the hysteresis of the voice coil motor, and the particle swarm algorithm (PSO) is used to find the optimal approximation solution to identify the parameters of the model. By approaching the optimal solution in all solutions calculated by multiple particles, tlie optimal solution of the particles in a number of particles is taken each time, and the fitting parameters which are closest to the experimental data are obtained. The hysteresis model can describe the motion state of voice coil motor in one dimension. The hysteresis compensation is eventually performed by the inversion algorithm. The experimental results show that the algorithm can correct the deviation caused by hysteresis. Students can have a better understanding of the hysteresis phenomenon and its effect on the motion by the teaching platform. Meanwhile, this platform helps students learn how to establish the hysteresis model of the voice coil motor and compensate for the hysteresis of the voice coil motor. [ABSTRACT FROM AUTHOR]