控制理论(社会学)
模型预测控制
观察员(物理)
电压
补偿(心理学)
扭矩
计算机科学
电子速度控制
过程(计算)
病媒控制
控制器(灌溉)
调制(音乐)
控制工程
工程类
控制(管理)
感应电动机
物理
人工智能
心理学
农学
电气工程
热力学
操作系统
量子力学
生物
声学
精神分析
作者
Yanping Xu,Jinglu Ren,Luyang Fan,Zhonggang Yin
标识
DOI:10.1109/jestpe.2022.3163424
摘要
Model predictive direct speed control (MPDSC), with a simple structure and without parameter tuning required, can use only one controller to constrain the speed and current of the motor at the same time. First, a direct voltage vector selection-based three-vector model predictive speed control, simplifying the optimization process, is proposed in this article, which reduces the pulsation of current and speed without increasing the computational burden compared with MPDSC. At the same time, because of the reasonable distribution of voltage vectors in the proposed three-vector method, the quality of the control and modulation has been significantly improved. Second, a multidisturbance Luenberger observer is designed to observe mechanical and electrical disturbances and to make further compensation, which reduced the influence of model mismatch, load torque, and unmodeled dynamics simultaneously and avoided the use of multiple observers, with fewer parameters and easier tuning. The experiment is presented to validate the effectiveness of the proposed method on the 7.5-kW experiment platform.
科研通智能强力驱动
Strongly Powered by AbleSci AI