模糊多级联交流驱动控制系统

S. Cherniy, A. S. Gudim, A. Buzikayeva
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引用次数: 3

摘要

本文建立了交流传动控制系统的模型。对传统的驱动控制系统进行了分析,其优点和缺点,以及使用智能方法实现这类对象的控制系统的先决条件进行了估计。智能系统应采用模糊逻辑控制器和不同的推理算法对不同控制回路的控制律进行建模。分析了常规情况下和采用基于模糊集理论的控制器时系统的动态特性。应用多级联模糊系统实现统一的智能控制模块和模糊推理算法的不同组合,在复杂驱动系统中具有实用性。该技术的应用允许在复杂控制对象中考虑所有特殊方面和坐标之间关系的整个驱动系统的控制系统的实现。此外,利用多级联模糊控制器对空间隶属函数进行建模,可以避免此类系统中由于坐标之间的复杂关系而产生的各种定量和定性限制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy Multi-Cascade AC Drive Control System
The paper represents the model of AC drive control system. An analysis of conventional drive control system has been performed, its advantages and disadvantages, and preconditions for use of intelligent approaches for implementation of control systems for this kind of objects have been estimated. The intelligent system is supposed to be modeled with use of fuzzy logic controller and different inference algorithms for implementation of control laws in various control loops. Dynamic characteristics of the system both for conventional case and with use of controllers based on fuzzy set theory have been analyzed. The practicability of using the multi-cascade fuzzy systems while implementation of unified intelligent control module and different combinations of fuzzy inference algorithms has been demonstrated for complex drive systems. Application of this technology allows implementation of control system for the entire class of drive systems considering all special aspects and relationships between the coordinates in the complex control object. Additionally, modeling of spacial membership function using multi-cascade fuzzy controller will give a possibility to avoid a variety of quantitative and qualitative restrictions due to complex relations between the coordinate in such systems.
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