Fuzzy sliding-mode control using adaptive tuning technique

Fuzzy sliding-mode control using adaptive tuning technique
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DOI:
10.1109/tie.2006.888807
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发表时间:
2007-02-01
影响因子:
7.7
通讯作者:
Wai, Rong-Jong
Wai, Rong-Jong
中科院分区:
计算机科学1区
文献类型:
--
作者:
Wai, Rong-Jong

文献摘要

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本文主要研究了传统滑模控制中的抖振问题,并研究了一种用于间接磁场定向异步电动机(IM)驱动跟踪周期指令的自适应模糊滑模控制(AFSMC)系统。首先,简要介绍了一种间接磁场定向方法。此外,利用模糊逻辑推理机制实现模糊碰撞控制律,彻底消除了传统SMC的抖振现象。此外,针对实际应用中存在的不确定性,利用李雅普诺夫稳定性定理推导出的自适应算法对模糊参数进行调整,进一步保证控制的鲁棒性和最优性。该方案具有控制框架简单、无抖振、跟踪控制性能稳定、抗不确定性强等显著优点。数值仿真和周期正弦命令下的实验结果验证了所提控制策略的有效性,并将其与常规SMC系统和带边界层的SMC系统进行了比较。
This study mainly deals with the key problem of chattering phenomena on the conventional sliding-mode control (SMC) and investigates an adaptive fuzzy sliding-mode control (AFSMC) system for an indirect field-oriented induction motor (IM) drive to track periodic commands. First, an indirect field-orientation method for an IM drive is introduced briefly. Moreover, a fuzzy logic inference mechanism is utilized for implementing a fuzzy hitting control law to remove completely the chattering phenomena on the conventional SMC. In addition, to confront the uncertainties existed in practical applications, an adaptive algorithm, which is derived in the sense of Lyapunov stability theorem, is utilized to adjust the fuzzy parameter for further assuring robust and optimal control performance. The indirect field-oriented IM drive with the AFSMC scheme possesses the salient advantages of simple control framework, free from chattering, stable tracking control performance, and robust to uncertainties. Furthermore, numerical simulation and experimental results due to periodic sinusoidal commands are provided to verify the effectiveness of the proposed control strategy, and its advantages are indicated in comparison with the conventional SMC system and the SMC system with a boundary layer.