当前位置: X-MOL 学术Asian J. Control › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Adaptive neuronal induction motor control with an 84-pulse voltage source converter
Asian Journal of Control ( IF 2.7 ) Pub Date : 2020-02-26 , DOI: 10.1002/asjc.2322
Francisco Beltran‐Carbajal 1 , Ruben Tapia‐Olvera 2 , Antonio Valderrabano‐Gonzalez 3 , Irvin Lopez‐Garcia 1
Affiliation  

This paper deals with the problem of harmonic distortion in velocity control drives for large horsepower three-phase induction motors. A new solution alternative to considerably reduce harmonic distortion in controlled large-capacity induction motors is introduced. An adaptive neural velocity reference trajectory tracking control scheme based on an 84-pulse voltage source converter for large horsepower three-phase induction motors is proposed. Desired flux modulus control is simultaneously performed. Adaptive controller parameters are adjustable online using B-spline artificial neural networks. Variable load torque of the handled mechanical dynamic system is assumed to be uncertain. Real-time estimations or measurements of dynamic load torque are unnecessary. Bézier curves are used for desired smooth motion planning to take a large induction motor from its starting towards an operating velocity. Moreover, motion planning is exploited for evasion of harmful mechanical oscillations as well as large peak values of voltages and currents. Closed-loop efficient velocity profile tracking is confirmed on a 500-hp induction motor. Comparisons with 6-pulse and 12-pulse conventional voltage source converters are also included to highlight the superior energy efficiency of the proposed 84-pulse ac motor drive. A very low total harmonic distortion of the multiple-pulse reconstructed three-phase control voltage signals is also proved. Analytical and numerical results prove the effectiveness and efficiency of the introduced 84-pulse adaptive neuronal dynamic tracking control strategy.

中文翻译:

具有 84 脉冲电压源转换器的自适应神经元感应电机控制

本文讨论了大马力三相感应电机速度控制驱动器中的谐波失真问题。介绍了一种新的替代方案,可显着减少受控大容量感应电机中的谐波失真。提出了一种基于84脉冲电压源换流器的大马力三相异步电动机自适应神经速度参考轨迹跟踪控制方案。同时执行所需的通量模量控制。自适应控制器参数可使用 B 样条人工神经网络在线调节。被处理的机械动态系统的可变负载转矩被假定为不确定的。动态负载扭矩的实时估计或测量是不必要的。贝塞尔曲线用于所需的平滑运动规划,以将大型感应电机从其启动到运行速度。此外,利用运动规划来规避有害的机械振荡以及电压和电流的大峰值。在 500 马力感应电机上确认了闭环高效速度曲线跟踪。还包括与 6 脉冲和 12 脉冲传统电压源转换器的比较,以突出所提议的 84 脉冲交流电机驱动器的卓越能效。还证明了多脉冲重构的三相控制电压信号的总谐波失真非常低。分析和数值结果证明了引入的 84 脉冲自适应神经元动态跟踪控制策略的有效性和效率。
更新日期:2020-02-26
down
wechat
bug