Proportional-type performance recovery current tracking control algorithm for PMSM

被引:7
|
作者
Kim, Seok-Kyoon [1 ]
机构
[1] Hanbat Natl Univ, Dept Creat Convergence Engn, Daejeon 34158, South Korea
关键词
electric current control; permanent magnet motors; synchronous motors; machine control; nonlinear control systems; observers; stability; proportional-type performance recovery current tracking control algorithm; proportional-type non-linear current control algorithm; permanent magnet synchronous motor; offset-free property; model-plant mismatch; first-order convergent disturbance observer; first-order internal dynamics; closed-loop performance; interior PMSM speed dynamics; power; 5; kW; MODEL-PREDICTIVE CONTROL; MAGNET SYNCHRONOUS MOTOR; IDENTIFICATION; SCHEME; DRIVES; FPGA;
D O I
10.1049/iet-epa.2017.0508
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This study presents a proportional-type non-linear current control algorithm for permanent magnet synchronous motors (PMSMs) with performance recovery and offset-free properties. The contribution falls into two parts. First, the disturbances from the model-plant mismatch are exponentially estimated by the proposed first-order convergent disturbance observers. Second, it is proven that the proposed algorithm guarantees the performance recovery and offset-free properties, also stabilises the first-order internal dynamics that arise from the PMSM speed dynamics. The closed-loop performance was shown by the simulations and experiments by using a 5kW interior PMSM.
引用
收藏
页码:332 / 338
页数:7
相关论文
共 50 条
  • [31] A Current Control Algorithm to Improve Command Tracking Performance and Resilience of a Grid-Connected Inverter
    Jeong, Horyeong
    Choi, Jong Hyuk
    Lee, Jae Suk
    [J]. APPLIED SCIENCES-BASEL, 2020, 10 (23): : 1 - 15
  • [32] Performance Investigation of Generalized Predictive Position Control for a PMSM in View of Reference Trajectory Tracking
    Kiselev, Aleksej
    Kuznietsov, Alexander
    Leidhold, Roberto
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), 2018, : 481 - 485
  • [33] Multisampling Model Predictive Control For PMSM Drives With Improved Tracking Performance and High Bandwidth
    Xue, Cheng
    Wu, Xuesong
    Li, Yunwei
    [J]. 2024 IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION, APEC, 2024, : 2348 - 2352
  • [34] Adaptive Neural Asymptotic Tracking Control for PMSM Systems Under Current Constraints and Unknown Dynamics
    Zhang, Jianyi
    Ren, Wei
    Li, Jingjie
    Sun, Xi-Ming
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2024, 71 (02) : 777 - 781
  • [35] Design of search space for improving the steady current control performance of PMSM current control system based on model predictive control
    Shimaoka, Masahiro
    Doki, Shinji
    [J]. ELECTRICAL ENGINEERING IN JAPAN, 2021, 214 (02)
  • [36] Design of Search Space for Improving the Steady Current Control Performance of PMSM Current Control System based on Model Predictive Control
    Shimaoka M.
    Doki S.
    [J]. IEEJ Transactions on Industry Applications, 2020, 140 (06): : 468 - 479
  • [37] Single Shunt Phase Current Reconstruction for Sliding Mode Control Algorithm Driven PMSM
    Skarolek, Pavel
    Lettl, Jiri
    [J]. PROCEEDINGS OF THE 2018 19TH INTERNATIONAL SCIENTIFIC CONFERENCE ON ELECTRIC POWER ENGINEERING (EPE), 2018, : 243 - 246
  • [38] RESEARCH ON THE PERFORMANCE OF NEW TYPE OF PROPORTIONAL PESSURE AND FLOW CONTROL VALVE
    Quan LongMa JianWang YongjinInstitute of Mechatronics
    [J]. Chinese Journal of Mechanical Engineering, 2003, (03) : 281 - 284
  • [39] Proportional Difference Type Iterative Learning Control Algorithm Based on Parameter Optimization
    Hao, Xiaohong
    Owens, David
    Daley, Steve
    [J]. 2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, : 3136 - +
  • [40] Performance-Enhanced Robust Iterative Learning Control With Experimental Application to PMSM Position Tracking
    Mandra, Slawomir
    Galkowski, Krzysztof
    Rogers, Eric
    Rauh, Andreas
    Aschemann, Harald
    [J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2019, 27 (04) : 1813 - 1819