Abstract This work presents an innovative approach for solving the problem of unbalance in three-phase induction motors (IM). The presented contribution is based on optimal controller operating with a quantized swarm-intelligence algorithm. The work starts by modeling and investigating the effects of unbalance factors on a three-phase IM operation. The mathematical model of the IM is based on steady state symmetrical component analysis which represents the discrete Fourier transform governing the estimation of control voltages fed into the swarm. The three-phase power input of an IM is controlled by a DSP controller with three-phase current sensors and an output stage that controls the power level of each phase fed into the motor. The controller measures the currents, estimates the current unbalance factor, searches for voltage levels that reduces the unbalance based on a cost functional, therefore, generates control signals on power electronics stage. The swarm-intelligence algorithm searches solutions in a stochastic space for three-phase voltages that minimize and even nullify the unbalance and reacts instantaneously. The algorithm shows very fast convergence to IM input voltages solution in less than 80 ms. The present work is concerned with the design and analysis of applying swarm intelligence control to implement unbalance compensation in three-phase IMs.

中文翻译：

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使用群智能控制的感应电机鲁棒不平衡补偿：设计与分析

摘要 这项工作提出了一种解决三相感应电动机 (IM) 不平衡问题的创新方法。所提出的贡献基于使用量化群智能算法运行的最佳控制器。这项工作首先对不平衡因素对三相 IM 操作的影响进行建模和研究。IM 的数学模型基于稳态对称分量分析，它表示控制馈入群的控制电压的估计的离散傅立叶变换。IM 的三相电源输入由带有三相电流传感器和输出级的 DSP 控制器控制，该输出级控制输入电机的每一相的功率电平。控制器测量电流，估计电流不平衡系数，基于成本函数搜索降低不平衡的电压电平，因此，在电力电子级上生成控制信号。群智能算法在随机空间中搜索三相电压的解决方案，以最小化甚至消除不平衡并立即做出反应。该算法显示在不到 80 ms 的时间内非常快速地收敛到 IM 输入电压解决方案。目前的工作涉及应用群智能控制来实现三相 IM 不平衡补偿的设计和分析。该算法显示在不到 80 ms 的时间内非常快速地收敛到 IM 输入电压解决方案。目前的工作涉及应用群智能控制来实现三相 IM 不平衡补偿的设计和分析。该算法显示在不到 80 ms 的时间内非常快速地收敛到 IM 输入电压解决方案。目前的工作涉及应用群智能控制来实现三相 IM 不平衡补偿的设计和分析。