摘要
模型预测控制因优良的动态性能在交流电机传动领域得到广泛应用,针对两种典型的模型预测控制--有限集模型预测控制和连续集模型预测控制,通过原理和仿真进行对比分析,以获得它们在稳态性、动态性、鲁棒性方面的差别。首先建立永磁同步电机数学模型,其次详细分析两种控制算法的原理,最后通过Matlab/Simulink对它们的性能进一步对比分析。从仿真结果看出,连续集模型预测控制的稳态性、鲁棒性均优于有限集模型预测控制,但动态特性逊于有限集模型预测控制。两种控制算法都存在各自的优点,并具有良好的发展前景。
Model predictive control is widely used in the field of AC motor drive because of its excellent dynamic performance.Two classical model predictive control strategies of permanent magnet synchronous motor—finite set model predictive control and continuous set model predictive control,are compared by principle and simulation to obtain their differences in steady-state,transient-state and robustness.Firstly,the mathematical model of permanent magnet synchronous motor was established.Secondly,the principles of the two control methods were analyzed in detail.Finally,their performances were compared by Matlab/Simulink.The simulation results show that the steady-state and robustness of continuous set model predictive control are better than those of finite set model predictive control,but the transient-state characteristics are inferior to those of finite set model predictive control.Both control methods have their own advantages and have good prospects for development.
作者
何婷
乔俊强
包建勤
杨巧玲
HE Ting;QIAO Junqiang;BAO Jianqin;YANG Qiaoling(Gansu Natural Energy Research Institute, Lanzhou 730046, China;Key Laboratory of Photovoltaicin Gansu Province, Lanzhou 730046, China;Gansu solar energy civil products industry technology center,Lanzhou 730046,China;College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China)
出处
《微电机》
北大核心
2020年第10期52-57,93,共7页
Micromotors
基金
国家自然基金(51767018)
甘肃省科技计划资助(18ZD2WA007)
甘肃省科技计划资助(17YF1NA055)
甘肃省教育厅科研业务项目(2017A-012)。
关键词
永磁同步电机
有限集模型预测
连续集模型预测
鲁棒性
permanent magnet synchronous motor
finite set model predictive control
continuous set model predictive control
robustness
