WELCOME TO PRECEDE 2023

[Poster Presentation]Parallel Model Predictive Control of Switched Reluctance Machine Without Weighting Factors

IMPORTANT DATES

Parallel Model Predictive Control of Switched Reluctance Machine Without Weighting Factors
ID：117 View Protection：PUBLIC Updated Time：2023-06-17 11:55:49 Hits：417 Poster Presentation

Start Time：2023-06-19 10:15 （Asia/Shanghai）

Duration：0min

Session：[E] Poster Session » [E3] Poster Session 3

Video Play Presentation File
Abstract
In this paper, a new model predictive control strategy is proposed, featuring multi-objective equivalent control and elimination of weighting factors in the cost function, based on the Fourier model of the switched reluctance machine (SRM), to select the optimal switching signal for driving the machine by reconstructing the torque and current error formulas, taking into account the torque ripple and copper loss requirements. And the feasibility of the proposed control strategy is simulated and  experimentally verified by conducting steady-state and dynamic experiments.
Keywords
Switched reluctance machine (SRM);model predictive control (MPC);weighting factor;parallel structure;torque ripple;efficiency
Speaker
Weiguo Liu

Zhaoyang Fu

Lefei Ge

Minghui Wang

Chenyi Yang

Shoujun Song

Comment submit
Verification code Change another
All comments

Manage the conference

Copyright © The 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics
Powered by Aconf.org , One-stop Solutions for Academic Events