基于神经网络建模的液压系统积分模糊滑模控制器

IF 1 Q3 MULTIDISCIPLINARY SCIENCES
A. Ak, Erdal Yilmaz, Sevan Katrancioglu
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引用次数: 0

摘要

本文采用模糊支持积分滑模算法设计了一种液压马达控制器。采用人工神经网络对液压系统进行建模。系统对非线性的处理能力使滑模控制器成为该系统的一个很好的选择。积分滑模控制器可以提供系统对不确定性的鲁棒性。该控制方法的基本思想是利用模糊逻辑对积分滑模控制开关增益进行自适应。这种调整减少了经典滑模控制中最严重的抖振问题。采用径向基函数神经网络计算等效控制。将该方法的仿真结果与传统PID控制器的仿真结果进行了比较。结果表明,利用神经网络对液压系统进行积分模糊滑模控制具有较好的控制效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integral Fuzzy Sliding Mode Controller for Hydraulic System Using Neural Network Modelling
In this paper, a hydraulic motor controller is designed with a fuzzy supported integral sliding mode algorithm. The hydraulic system used in the study was modeled using artificial neural networks. Ability of handling nonlinearity of systems makes sliding mode controller to be a good choose for this system. The integral sliding mode controller can supply the robustness the system against the uncertainties. The basic idea of the proposed control method is to use fuzzy logic for the adaptation of the integral sliding mode control switching gain. Such adjustment reduces the chattering that is the most problem of classical sliding mode control. The equivalent control is computed using the radial basis function neural network. Simulation results of the presented method were compared with conventional PID controller results. It proved that it is more efficient to control the hydraulic system with integral fuzzy sliding mode control using neural network.
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来源期刊
gazi university journal of science
gazi university journal of science MULTIDISCIPLINARY SCIENCES-
CiteScore
1.60
自引率
11.10%
发文量
87
期刊介绍: The scope of the “Gazi University Journal of Science” comprises such as original research on all aspects of basic science, engineering and technology. Original research results, scientific reviews and short communication notes in various fields of science and technology are considered for publication. The publication language of the journal is English. Manuscripts previously published in another journal are not accepted. Manuscripts with a suitable balance of practice and theory are preferred. A review article is expected to give in-depth information and satisfying evaluation of a specific scientific or technologic subject, supported with an extensive list of sources. Short communication notes prepared by researchers who would like to share the first outcomes of their on-going, original research work are welcome.
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