Hannan M A, Ali Jamal Abd, Hossain Lipu M S, Mohamed A, Ker Pin Jern, Indra Mahlia T M, Mansor M, Hussain Aini, Muttaqi Kashem M, Dong Z Y
Department of Electrical Power Engineering, College of Engineering, Universiti Tenaga Nasional, Kajang, 43000, Malaysia.
General Company of Electricity Production Middle Region, Ministry of Electricity, Baghdad, 10001, Iraq.
Nat Commun. 2020 Jul 30;11(1):3792. doi: 10.1038/s41467-020-17623-5.
Three-phase induction motors (TIMs) are widely used for machines in industrial operations. As an accurate and robust controller, fuzzy logic controller (FLC) is crucial in designing TIMs control systems. The performance of FLC highly depends on the membership function (MF) variables, which are evaluated by heuristic approaches, leading to a high processing time. To address these issues, optimisation algorithms for TIMs have received increasing interest among researchers and industrialists. Here, we present an advanced and efficient quantum-inspired lightning search algorithm (QLSA) to avoid exhaustive conventional heuristic procedures when obtaining MFs. The accuracy of the QLSA based FLC (QLSAF) speed control is superior to other controllers in terms of transient response, damping capability and minimisation of statistical errors under diverse speeds and loads. The performance of the proposed QLSAF speed controller is validated through experiments. Test results under different conditions show consistent speed responses and stator currents with the simulation results.
三相感应电动机（TIMs）广泛应用于工业生产中的各种机器。作为一种精确且强大的控制器，模糊逻辑控制器（FLC）在TIMs控制系统设计中至关重要。FLC的性能高度依赖于隶属函数（MF）变量，而这些变量通过启发式方法进行评估，这导致处理时间较长。为了解决这些问题，TIMs的优化算法在研究人员和工业界人士中受到越来越多的关注。在此，我们提出一种先进且高效的量子启发式闪电搜索算法（QLSA），以避免在获取MF时采用详尽的传统启发式程序。基于QLSA的FLC（QLSAF）速度控制在瞬态响应、阻尼能力以及在不同速度和负载下统计误差最小化方面的精度优于其他控制器。通过实验验证了所提出的QLSAF速度控制器的性能。不同条件下的测试结果表明，速度响应和定子电流与仿真结果一致。
