Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline

Article Types

Countries / Regions

Search Results (1)

Search Parameters:
Keywords = direct predictive torque control (DPTC)

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
18 pages, 2610 KB  
Article
An Improved Direct Predictive Torque Control for Torque Ripple and Copper Loss Reduction in SRM Drive
by Linhao Sheng, Guofeng Wang, Yunsheng Fan, Jian Liu, Di Liu and Dongdong Mu
Appl. Sci. 2023, 13(9), 5319; https://doi.org/10.3390/app13095319 - 24 Apr 2023
Cited by 10 | Viewed by 2086
Abstract
This paper introduces a direct predictive torque control (DPTC) method to minimize the torque ripple and copper loss of the switched reluctance motor (SRM). Generally, there is a problem with torque ripple during the SRM’s commutation. In this method, the commutation optimization is [...] Read more.
This paper introduces a direct predictive torque control (DPTC) method to minimize the torque ripple and copper loss of the switched reluctance motor (SRM). Generally, there is a problem with torque ripple during the SRM’s commutation. In this method, the commutation optimization is provided by a direct predictive torque control algorithm. Firstly, the reachable range of phase torques is predicted and the boundary of two continuous phases is modified. By dividing the torque range directly to determine the torque allocation set, the suppression of torque ripple becomes simple. Secondly, considering the optimization problem of copper loss during commutation, a cost function only related to the phase current is constructed. Further, the minimization of copper loss can be achieved by solving the cost function, and the work of setting weight parameters is not required. Finally, the proposed DPTC method is tested by simulation and experiment in a three-phase 12/8-pole SRM drive system and the results are compared with the existing predictive torque control methods. The results show that the proposed method has less torque ripple and copper loss, which effectively improves the torque control performance. Full article
(This article belongs to the Section Energy Science and Technology)
Show Figures

Figure 1

Back to TopTop