CHENG Weiwei, WU Rui. Predictive control of high-power three-level PWM rectifier without weighting coefficient[J]. Journal of Mine Automation, 2021, 47(1): 81-86. DOI: 10.13272/j.issn.1671-251x.2020070015
Citation: CHENG Weiwei, WU Rui. Predictive control of high-power three-level PWM rectifier without weighting coefficient[J]. Journal of Mine Automation, 2021, 47(1): 81-86. DOI: 10.13272/j.issn.1671-251x.2020070015

Predictive control of high-power three-level PWM rectifier without weighting coefficient

More Information
  • A high-power three-level PWM rectifier predictive control algorithm without weight coefficients is proposed for the problem of complicated design of the weight coefficients of the cost function in the traditional predictive control algorithm. The Pareto optimal solution set for multi-objective satisfactory optimal control of current command tracking and midpoint potential regulation is calculated based on the introduction of a tolerance interval for the target tracking error. When the Pareto optimal solution set is an empty set, the current command tracking based on the control deviation degree measurement function and the midpoint potential are used to adjust the target cost function so as to eliminate the weight coefficient of the cost function in the traditional predictive control. When the Pareto optimal solution set is not an empty set, a new switching loss cost function is designed to achieve low switching frequency control of the rectifier. The simulation results have verified the effectiveness and dynamic performance of the algorithm.
  • Related Articles

    [1]ZHANG Zhe, TAO Yunchun, LIANG Rui, CHI Peng. A fault diagnosis method of belt conveyor[J]. Journal of Mine Automation, 2020, 46(4): 81-84. DOI: 10.13272/j.issn.1671-251x.2019120001
    [2]WAN Hong, REN Xiaohong, FAN Jinyu, YU Xiao, DING Enjie. Research on open-circuit fault diagnosis of three-level inverter[J]. Journal of Mine Automation, 2020, 46(4): 66-74. DOI: 10.13272/j.issn.1671-251x.2019070045
    [3]WANG Haoyu, CHEN Ying, MIAO Yanzi, CHEN Bingguang. A fault diagnosis system of mine main ventilator[J]. Journal of Mine Automation, 2017, 43(6): 69-71. DOI: 10.13272/j.issn.1671-251x.2017.06.016
    [4]XIA Huili, GUO Yanan, YU Fajun. Fault diagnosis method of mineral transmission equipment based on sparse classification algorithm[J]. Journal of Mine Automation, 2016, 42(2): 43-46. DOI: 10.13272/j.issn.1671-251x.2016.02.011
    [5]PU Yasong, GUO Dewei, ZHANG Wenbi. Application of fault diagnosis technologies in coal mine machinery[J]. Journal of Mine Automation, 2015, 41(4): 36-39. DOI: 10.13272/j.issn.1671-251x.2015.04.010
    [6]WANG Huizhong, XIAO Yingchun, ZHANG Ying, ZHU Hongyi. Study on fault diagnosis technologies of motor[J]. Journal of Mine Automation, 2015, 41(1): 40-44. DOI: 10.13272/j.issn.1671-251x.2015.01.011
    [7]DONG Jianping, YANG Cheng, LU Xiaoli. A fault diagnosis method of rolling bearing[J]. Journal of Mine Automation, 2014, 40(12): 74-77. DOI: 10.13272/j.issn.1671-251x.2014.12.019
    [8]WANG Shouyi, LI Zhen, ZHU Yijun, CHEN Sia. Research of fault diagnosis of lubricating oil in coal mining equipment[J]. Journal of Mine Automation, 2014, 40(2): 33-36. DOI: 10.13272/j.issn.1671-251x.2014.02.010
    [9]LI Xiao-qing, ZHANG Wen-xiang. The Expert System of Fault Diagnosis of Hydraulic System[J]. Journal of Mine Automation, 2005, 31(4): 11-13.
    [10]WANG Chang-quan , LING Wei-ye . Research on the Vibration and Temperature Monitoring and Control System in Fault Diagnosis[J]. Journal of Mine Automation, 2002, 28(5): 6-7.

Catalog

    Article Metrics

    Article views (84) PDF downloads (12) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return