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Parkinson’s Disease (PD) is a prevalent neurodegenerative condition characterized by tremor, which is one of its primary clinical manifestations. This involuntary trembling significantly diminishes the quality of life for affected individuals. The objective of this study is to approach a novel tremor suppression system for individuals with Parkinson’s tremor, providing a non-invasive mechanical remedy for tremor alleviation. The proposed system comprises a tremor estimator utilizing the Enhanced Band-limited Multiple Fourier Linear Combiner (E-BMFLC) and a control system employing Linear Active Disturbance Rejection Control (LADRC). The tremor estimator’s role is to separate tremor and voluntary motion signals from the comprehensive hand motion signal, which are subsequently fed into the control system. The controller activates a Permanent Magnet Synchronous Motor (PMSM) to counteract tremor disturbances, accomplishing the dual objectives of voluntary motion tracking and tremor disruption suppression. The evaluation of the designed system is conducted through experiments on a simulation platform. Tremor data collected from ten patients diagnosed with PD are employed for testing. Ultimately, a comparative analysis and discussion were conducted involving different estimation algorithms and controllers. The present results indicate the tremor estimator yields an average root-mean-squared-error (RMSE) of 0.030 and an estimation coefficient of determination (R2) of 0.871 for tremor signal amplitude estimation. Moreover, the control system demonstrates an average Normalized-RMSE of 0.0279 when tracking voluntary motion. Within the tremor frequency band, the average tremor signal power suppression rate (TPSR) attains 99.05%.