Simplified self-tuning Fuzzy Logic Speed controller for induction motor drive

2016 IEEE International Conference on Power and Energy (PECon) Pub Date : 2016-11-01 DOI:10.1109/PECON.2016.7951557

M. Talib, Z. Ibrahim, Z. Rasin, J. M. Lazi, S. S. M. Isa

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引用次数: 8

Abstract

This paper presents the simplified self tuning Fuzzy Logic Speed Controller (FLSC) with output scaling factor tuner for Induction Motor Drive. In general, self tuning mechanism is able to improve the drive performance. However, implementing fuzzy self-tuning mechanism will increase the complexity of the control algorithm. The number of rules will significantly affect the computation time and memory space requirement. Thus, this paper proposes a simplified rules for the self-tuning (ST) FLSC. The proposed system controller consists of ST-FLSC with less number of rules. The drive system utilizes the indirect Field Oriented Control (FOC) fed by Space Vector Pulse Width Modulation method. The ST-FLSC is compared with the constant parameter (CP)-FLSC. The simulation results indicate the improvement in term of rise time and settling time at low, medium and high speed operation as well as during load disturbance. With less number of rules, the complexity of the controller algorithm is minimized and will provide a great advantage for the hardware implementation.

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用于感应电机驱动的简化自整定模糊逻辑速度控制器

提出了一种用于异步电机驱动的带有输出比例因子调谐器的简化自整定模糊逻辑调速控制器(FLSC)。一般来说，自调谐机构能够提高驱动性能。然而，采用模糊自整定机制会增加控制算法的复杂度。规则的数量将显著影响计算时间和内存空间需求。因此，本文提出了一种简化的自调谐(ST) FLSC规则。所提出的系统控制器由规则数较少的ST-FLSC组成。驱动系统采用空间矢量脉宽调制的间接场定向控制(FOC)。将ST-FLSC与常数参数(CP)-FLSC进行比较。仿真结果表明，在低、中、高速运行和负载扰动时，系统的上升时间和稳定时间都有所改善。在规则数量较少的情况下，将控制器算法的复杂性降到最低，为硬件实现提供了很大的优势。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2016 IEEE International Conference on Power and Energy (PECon)

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