控制理论(社会学)
国家观察员
级联
计算机科学
自抗扰控制
占空比
卡尔曼滤波器
控制器(灌溉)
控制工程
工程类
模型预测控制
控制(管理)
电压
非线性系统
物理
电气工程
人工智能
生物
量子力学
化学工程
农学
作者
Jinliang Zhang,Yufeng Chen,Yun Gao,Zhihu Wang,Guosheng Peng
标识
DOI:10.1142/s0218126621502029
摘要
Due to the complication control structure and heavy burden in computation of the Permanent Magnet Synchronous Motor (PMSM) control strategy, a new cascade control strategy is proposed, which is combined with advanced control algorithm of Active Disturbance Rejection Control (ADRC), Finite Control Set Model Predictive Control (FCS-MPC) and Kalman filtering. ADRC is designed in detail for speed control, in order to reduce the burden of Extended State Observer (ESO) in ADRC, a Kalman filter is designed to simultaneously observe load disturbance and back Electromotive Force (EMF), which can also reduce influence of the noise. While the estimated EMF is used for the current loop FCS-MPC control, it is improved with a method of best vector selection and duty cycle optimization. The proposed combined control scheme is verified in MATLAB simulation environment, through detailed analysis, it shows both good performance in steady state and dynamic response.
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