Energy modeling and online parameter identification for permanent magnet synchronous motor driven belt conveyors

Abstract

This paper studies the problems of energy modeling and online parameter identification method for permanent magnet synchronous motor (PMSM) driven belt conveyors. Firstly, a new dynamic energy model is established by combining the existing energy model and the PMSM dynamic model. The model is free of the drive system efficiency which is usually not known exactly. Then, a parameter identification method is designed based on load observer, bulk material mass calculator and recursive least squares (RLS), by which a two-stage parameter identification method with waiting period is further proposed to overcome the influence of load observation errors and large differences between the model parameters. Finally, the effectiveness and feasibility of the proposed method are verified by a hardware-in-the-loop simulation system.