Data supporting the findings of the paper

Description：This dataset includes experimental results from the study on load torque identification in Permanent Magnet Synchronous Motors (PMSM) using the Fuzzy Super-Twisting Sliding Mode Observer (FST-SMO). The experiments were conducted under varying conditions to analyze the system's dynamic performance, current harmonics, and speed response.Each file represents results for a specific experimental condition, which is encoded in the file names as follows:EXP1, EXP2, EXP3: Different experimental setups.300, 2000: Operating speed in revolutions per minute (rpm).1_2, 2_4: Indicates different load torque values or system configurations.File Details:EXP1_PI_300_1_2.xlsx: Data for Experiment 1 at 300 rpm under a 1.2 Nm load.EXP1_PI_300_2_4.xlsx: Data for Experiment 1 at 300 rpm under a 2.4 Nm load.EXP2_2000_1_2.xlsx: Data for Experiment 2 at 2000 rpm under a 1.2 Nm load.EXP2_2000_2_4.xlsx: Data for Experiment 2 at 2000 rpm under a 2.4 Nm load.EXP2_300_1_2.xlsx: Data for Experiment 2 at 300 rpm under a 1.2 Nm load.EXP2_300_2_4.xlsx: Data for Experiment 2 at 300 rpm under a 2.4 Nm load.EXP3_2000_1_2.xlsx: Data for Experiment 3 at 2000 rpm under a 1.2 Nm load.EXP3_2000_2_4.xlsx: Data for Experiment 3 at 2000 rpm under a 2.4 Nm load.EXP3_300_1_2.xlsx: Data for Experiment 3 at 300 rpm under a 1.2 Nm load.EXP3_300_2_4.xlsx: Data for Experiment 3 at 300 rpm under a 2.4 Nm load.This dataset supports the analysis and validation of the proposed FST-SMO method and its effectiveness in load torque identification and suppression of current harmonics in PMSMs.