Torque identification based on LMS adaptive delay inverse system method

• Published in: Journal of Measurements in Engineering Vol. 8; no. 2; pp. 62 - 71
• Main Authors: Song, Jinzhou, Wang, Yu, Sun, Dan, Li, Hongliang
• Format: Journal Article
• Language: English
• Published: Kaunas JVE International Ltd 01.06.2020
• Subjects: Adaptive systems; Algorithms; Analysis; Angular acceleration; Computer simulation; Ill posed problems; Mathematical models; Matrix methods; Mechanical systems; Methods; System identification; Time domain analysis; Torque; China
• ISSN: 2335-2124; 2424-4635; 2424-4635
• DOI: 10.21595/jme.2020.21543

In order to relieve the dependence of load estimation upon the prior knowledge of mechanical system, an adaptive delayed inverse model is proposed for identifying the torque time history based on adaptive delay inverse system identification method. The LMS (least mean square) algorithm was used to identify the inverse model of the rotating system, which instead of system characteristic matrix inversion in common determination methods and ill-posed problem is avoided consequently. The adaptive delayed inverse model was used to identify the time-domain torque by analyzing the angular acceleration response data of the working state. The single-point time-domain torque of the bare shaft was identified by the angular acceleration response in the case of noiseless interference. The simulation results illustrate that the recognition results of this method is satisfied. It is proved by the experiment that the method is also feasible to the shaft system with disk coupling. The proposed method can be applied in practical engineering as it is not necessary to grip the mathematical model and system parameters in advance.