摘要
传统模型预测控制策略基于固定的控制周期与预测寻优结构,难以实现电机系统的动态-稳态性能综合优化。针对这一问题,提出了一种基于多核并行计算架构的可切换式模型预测控制策略。该方法通过分析两种经典模型预测控制策略在预测寻优过程中的数据依赖关系,构建具有不同控制周期、不同控制策略的微单元,通过设计算法切换策略,实现变结构、变周期控制。在此基础上,为减少切换过程引起的被控量波动,设计了时序优化策略。相关实验结果表明,所提控制策略兼顾了电机系统的动、稳态控制性能,实现了模型预测控制的稳态控制精度、暂态超调量、响应时间的同步优化。
The traditional model predictive control strategy is based on the fixed control period and predictive optimization structure.It is difficult to realize the comprehensive optimization of transient-steady state performance of the motor system.To solve this problem,this paper presents a switchable model predictive control strategy based on multi-core parallel computing architecture.By analyzing the data dependence of two classical model predictive control strategies in the predictive optimization process,the proposed method constructs micro-units with different control periods and different control strategies,and then designs switchable strategy to achieve variable structure control and variable period control.On this basis,in order to reduce the fluctuation caused by switching process,a timing optimization strategy is designed.The experimental results show that the proposed control strategy can comprehensively consider the transient and steady performance of the motor system,synchronously optimize the steady state accuracy,transient overshoot and response time.
作者
刘涛
赵晴晴
俞亚伟
习金玉
赵宝山
侯玮杰
LIU Tao;ZHAO Qingqing;YU Yawei;XI Jinyu;ZHAO Baoshan;HOU Weijie(School of Electrical and Information Engineering,Tianjin University,Tianjin 300072,China;School of Electrical Engineering,Tiangong University,Tianjin 300387,China;不详)
出处
《组合机床与自动化加工技术》
北大核心
2025年第4期92-97,共6页
Modular Machine Tool & Automatic Manufacturing Technique
基金
国家自然科学基金项目(51807139)
天津市应用基础研究多元投入项目(22JCZDJC00930)。
关键词
永磁同步电机
模型预测控制策略
变周期控制
多核并行计算
permanent magnet synchronous motor
model predictive control strategy
variable period control
multi-core parallel computing
