控制理论(社会学)
模型预测控制
病媒控制
电压
扭矩
占空比
区间(图论)
电流(流体)
灵敏度(控制系统)
零向量
计算机科学
数学
工程类
控制(管理)
电子工程
感应电动机
物理
人工智能
电气工程
组合数学
热力学
几何学
作者
Muhammad Kashif Nawaz,Manfeng Dou,Saleem Riaz,Muhammad Usman Sardar
摘要
Model predictive control (MPC) is a powerful tool for the control of permanent magnet synchronous motors. However, conventional MPC permits using a single voltage vector during one control interval. This results in higher current distortions and large torque ripples. Sensitivity to control parameters is another issue associated with conventional MPC. The duty cycle suggests using an active vector and a null vector during one sampling interval. The method needs excessive computational and prediction effort. Furthermore, a necessary zero vector as the second vector might not give the optimal results. To overcome the problems of computational burden, this paper proposes that a reference voltage vector can be calculated and used to determine the voltage vector to be used for the next interval. This reduces the computational effort to a minimum. Furthermore, it is proposed that the second vector can either be active or null. To overcome the problem of parameter dependence, an electromotive force is calculated on basis of previous values. Simulations have been carried out to verify the efficacy of the proposed method.
科研通智能强力驱动
Strongly Powered by AbleSci AI