AMT Starting Control as a Soft Starter for Belt Conveyors Using a Data-Driven Method

Symmetry

Lei Li¹  Yunxia Li¹  Chengliang Zhang² 

[1] School of Mechanical & Automotive Engineering, Qilu University of Technology, Shandong Academy of Sciences, Jinan 250353, China;School of Mechanical Engineering, University of Jinan, Jinan 250022, China;

关键词: automated mechanical transmission;    soft start;    data-driven method;    model-free adaptive control;    jerk compensation;   

DOI  :  10.3390/sym13101808

来源: DOAJ

【 摘 要 】

Automated mechanical transmission (AMT) is used as a soft starter in this paper. To improve the soft starting quality, a novel data-driven method is studied. By analyzing and comparing five common soft-starting acceleration curves, a segmented acceleration curve is put forward to be used as the soft-starting acceleration curve for the AMT. Based on the prototype model free adaptive control (MFAC) method, a modified MFAC method with jerk compensation is given to control the AMT output shaft’s angular acceleration and reduce driveline shock. Compared with the methods of prototype MFAC and traditional proportion integration differentiation (PID), the modified MFAC method with jerk compensation can better control the AMT output shaft’s angular acceleration and has excellent characteristics in terms of small tracking error and smaller shock. The research results provide a novel data-driven method for AMT as a soft starter.

【 授权许可】

Unknown