基于蜣螂优化算法的永磁同步电机模型预测转矩控制  

Model Predictive Torque Control of Permanent Magnet Synchronous Motors Based on Dung Beetle Optimization Algorithm

作　　者：黄文杰[1] 董学育 朱建忠[1] HUANG Wenjie;DONG Xueyu;ZHU Jianzhong(College of Electrical Engineering,Nanjing Institute of Technology,Nanjing 211100,China)

机构地区：[1]南京工程学院电力工程学院,南京211100

出　　处：《微特电机》2024年第7期67-71,共5页Small & Special Electrical Machines

摘　　要：针对永磁同步电机传统控制系统的转速跟踪能力差和抗扰性能弱等问题,提出一种基于蜣螂优化算法的永磁同步电机模型预测转矩控制(DBO-MPTC)策略。建立起基于传统模型预测控制的永磁同步电机离散系统,随后引入蜣螂优化算法参与到控制器参数的在线整定。搭建了基于蜣螂优化算法的预测控制仿真模型,验证所提策略的优越性。仿真结果表明,相较于传统模型预测控制,采用DBO-MPTC控制策略,提高了永磁同步电机的速度响应和抗干扰能力。Aiming at the problems of poor speed tracking capability and weak anti-interference performance in traditional control systems for permanent magnet synchronous motor,a model predictive torque control(MPTc)strategy of permanent magnet synchronous motor based on dung beetle optimization algorithm(DBO-MPTC)was proposed.A discrete system of permanent magnet synchronous motor based on traditional model predictive control system was established,and then dung beetle optimization algorithm was introduced to participate in the online tuning of controller parameters.The predictive control simulation model based on dung beetle optimization algorithm was built through simulation,which verified the superiority of the proposed strategy.Simulation results indicate that compared with the traditional model predictive control,the adopted DBO-MPTC control strategy can improve the speed response and anti-interference ability of permanent magnet synchronous motor.

关 键 词：永磁同步电机 蜣螂优化算法 模型预测转矩控制 在线整定 

分 类 号：TM351[电气工程—电机]