Experimental data set of a pneumatic levitator, PWM vs. level

The dataset used to train the GRU model was collected from the pneumatic levitation system under controlled experimental conditions. The data acquisition process involved applying a pseudo-random binary sequence (PRBS) to the fan's PWM control signal, which excited the system and generated observable variations in the levitated object's height. The dataset consists of 8,912 samples, recorded at a frequency of 10 Hz, spanning approximately 15 minutes of continuous operation. Each sample includes two key variables: the PWM control signal (ranging from 0 to 255) and the corresponding height of the levitated object (measured in centimeters).用于训练门控循环单元（GRU）模型的数据集，采集自受控实验条件下的气动悬浮系统。数据采集过程中，向风机的脉冲宽度调制（PWM）控制信号施加伪随机二进制序列（PRBS），以此激励系统并使悬浮对象的高度产生可观测的变化。该数据集共包含8912条样本，采样频率为10 Hz，采集时长约覆盖15分钟的连续运行过程。每条样本包含两个关键变量：PWM控制信号（取值范围为0至255），以及对应的悬浮对象高度（单位为厘米）。