Robust Enhanced Voltage Range Control for Industrial Robot Chargers

被引:1
|
作者
Jianbin Chen [1 ]
Chengyu Yang [1 ]
Zou Jianjun [1 ]
机构
[1] Guangdong Titans Intelligent Power Co Ltd, Zhuhai, Peoples R China
关键词
Off-board charger; control strategy; LLC converter; linear segmented voltage range; LLC RESONANT CONVERTER; ELECTRIC VEHICLE;
D O I
10.1109/ACCESS.2022.3229688
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The two-stage converter has become a popular off-board topology for high power charging due to its high efficiency and economy. However, a series of performance degradations caused by operating frequencies which deviate from the resonant frequency are its most significant disadvantage. This drawback has become a particularly significant challenge in industrial robot charging applications. This paper proposes a linear segmented voltage control strategy that allows the voltage to be manipulated in segments depending on the state of charge. It allows for a wider voltage range while achieving excellent control accuracy and compelling operational performance. Not only is the implementation of this control strategy discussed, but engineering issues such as which adjustments to the parameters of the LLC resonant tank are required are also analysed. In addition, it is discussed how the PFC module should be adjusted for the output voltage under this control strategy. Finally, a prototype with a maximum output power of 20 kW is produced to verify the various performance improvements of this strategy in high-power charging applications.
引用
收藏
页码:132635 / 132643
页数:9
相关论文
共 50 条
  • [21] A New Robust Control Strategy for Multistage PV Battery Chargers
    Dalala, Zakariya M.
    Saadeh, Osama S.
    2018 9TH IEEE INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS FOR DISTRIBUTED GENERATION SYSTEMS (PEDG), 2018,
  • [22] Robust Adaptive Sliding Mode Neural Networks Control for Industrial Robot Manipulators
    Vu Thi Yen
    Nan, Wang Yao
    Pham Van Cuong
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2019, 17 (03) : 783 - 792
  • [23] Robust Adaptive Sliding Mode Neural Networks Control for Industrial Robot Manipulators
    Vu Thi Yen
    Wang Yao Nan
    Pham Van Cuong
    International Journal of Control, Automation and Systems, 2019, 17 : 783 - 792
  • [24] Robust control and adaptive robust control of robot manipulators
    Yin, YJ
    Hayakawa, Y
    1998 JAPAN-U.S.A. SYMPOSIUM ON FLEXIBLE AUTOMATION - PROCEEDINGS, VOLS I AND II, 1998, : 495 - 498
  • [25] Zero Sequence Voltage Control Enabling Transformerless Electric Vehicle Chargers
    Eull, Michael
    Wang, Weizhong
    Zhou, Liwei
    Preindl, Matthias
    2021 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE & EXPO (ITEC), 2021, : 861 - 868
  • [26] Desired compensation adaptive robust repetitive control of a multi-DoFs industrial robot
    Hu, Jinfei
    Lai, Han
    Chen, Zheng
    Ma, Xin
    Yao, Bin
    ISA TRANSACTIONS, 2022, 128 : 556 - 564
  • [27] Robust fast finite-time sliding mode control for industrial robot manipulators
    Gambhire S.J.
    Sri Kanth K.S.
    Malvatkar G.M.
    Londhe P.S.
    International Journal of Dynamics and Control, 2019, 7 (02) : 607 - 618
  • [28] Robust Design of Parameter Tolerance to Industrial Robot
    Wu J.
    Zhang D.
    Han X.
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2023, 59 (11): : 147 - 158
  • [29] ROBUST-CONTROL OF A ROBOT
    POTAPENKO, YEM
    JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL, 1995, 33 (02) : 86 - 93
  • [30] Robot adaptive and robust control
    Tzafestas, SG
    JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 1997, 20 (2-4) : 87 - 91