Bhaumik Adrish, Das Sukanta
Department of Electrical Engineering, Indian Institute of Technology (ISM), Dhanbad, Jharkhand, Pin-826004, India.
ISA Trans. 2023 Feb;133:495-504. doi: 10.1016/j.isatra.2022.07.007. Epub 2022 Jul 14.
Nowadays, predictive current control (PCC) strategy has been recognized as a promising option for the control of electric drives for their control flexibility, fast dynamic response and weighting factorless structure of objective function. However, such kinds of conventional control strategies make drives to suffer from the ingress of significant harmonics in stator current, increasing further the steady state flux ripple followed by a noticeable torque ripple. To ameliorate these aforementioned shortcomings of conventional scheme, the present work employs the concept of virtual voltage vector (V) in PCC strategy. The mathematical steps of the proposed VPCC make the scheme more frontward in delay compensation, and also less parameter sensitive than the conventional one. As a baseline for the performance analysis, the present VPCC is compared with a weighting factorless V based predictive flux control (PFC) scheme in induction motor (IM) drive. A speed adaptive flux observer is considered for the speed estimation purpose in both the control schemes. The performance of both the sensorless schemes for IM drive are analysed in MATLAB/Simulink, and also experimentally verified in a 2.2 kW IM drive test bench.
如今，预测电流控制（PCC）策略因其控制灵活性、快速动态响应以及目标函数无加权因子结构，已被公认为是一种用于电气驱动控制的有前景的选择。然而，这类传统控制策略会使驱动器的定子电流中出现大量谐波，进而进一步增加稳态磁通脉动，随之产生明显的转矩脉动。为改善传统方案的上述缺点，本研究在PCC策略中采用了虚拟电压矢量（V）的概念。所提出的虚拟电压矢量预测电流控制（VPCC）的数学步骤使该方案在延迟补偿方面更具优势，并且比传统方案对参数的敏感度更低。作为性能分析的基准，将当前的VPCC与感应电机（IM）驱动中基于无加权因子V的预测磁通控制（PFC）方案进行了比较。在两种控制方案中均考虑采用速度自适应磁通观测器来进行速度估计。在MATLAB/Simulink中分析了两种无传感器IM驱动方案的性能，并在一个2.2kW的IM驱动试验台上进行了实验验证。
