五相感应电机变采样周期模型预测控制策略
Model Predictive Control Strategy for Five-phase Induction Motor with Variable Sampling Period
陈会鸽 1王双岭2
作者信息
- 1. 黄河科技学院工学部,郑州 450001
- 2. 郑州经贸学院智慧制造学院,郑州 451191
- 折叠
摘要
针对无调制模块的模型预测控制器MPC(model predictive controller)存在的谐波含量高问题,提出 1种新型基于模型的变采样周期MPC策略,并将其应用于五相感应电机驱动系统.分析了MPC对时间固定离散化所带来的问题,而引入调制或调制替代来解决此问题将使控制系统复杂度增加,故遵循更简单、自然的思路,基于追击算法来改变采样间隔,结合MPC确定最优控制动作和实施时间,实现变采样周期MPC方案.利用五相感应电机驱动系统开展实验,实验结果验证了新型变采样周期MPC优良的参考跟踪和电流谐波性能.
Abstract
Aimed at the high harmonic content of a model predictive controller(MPC)without modulation modules,a novel model-based variable sampling period MPC strategy is proposed and applied to a five-phase induction motor drive system.The problem caused by the fixed-discretization of time in the MPC is analyzed,but the introduction of modulation or modulation substitution to solve this problem will increase the complexity of the control system.Therefore,a simpler and more natural idea is adopted.Specifically,the sampling interval is changed based on the pursuit algorithm,and the optimal control action and implementation time are determined by combining with the MPC,thus realizing the variable sampling period MPC strategy.Experiments were carried out using the five-phase induction motor drive system,and experimental results verified the excellent reference tracking and current harmonic performance of the novel variable sampling period MPC.
关键词
模型预测控制器/数字控制系统/变采样周期/追击算法/五相感应电机Key words
Model predictive controller(MPC)/digital control system/variable sampling period/pursuit algorithm/five-phase induction motor引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据