感应电动机定子磁链和转矩的神经网络逆解耦控制

IF 1.3 Q4 AUTOMATION & CONTROL SYSTEMS
Qinghui Wu
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引用次数: 3

摘要

研究了一种基于人工神经网络(ANN)逆系统的异步电动机定子磁链与转矩解耦机构。首先,用逆系统理论证明了逆系统的存在性。然而,解析逆模型由于过于依赖于IM参数,在工程领域应用较少。为此,本文提出了神经网络与解析函数相结合的方法,构建了一种基于人工神经网络的逆解耦控制方案,以消除定子磁链与转矩之间的耦合。为了加快神经网络的收敛速度和增强其泛化能力,采用解析运算方法实现非线性运算,并将相应的运算结果作为网络的输入。仿真结果验证了所提方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neural network inverse decoupling control of stator flux and torque for induction motor drives
This paper focuses on the development of a stator flux and torque decoupling mechanism based on artificial neural network (ANN) inverse system for induction motor (IM). Firstly, the existence of the inverse system is approved by inverse system theory. However, the analytic inverse model is hardly applied in the engineering fields because it is excessively depends on the IM parameters. Therefore, the method of synthesising neuro-network and analytic function is suggested in this paper, and an ANN-based inverse decoupling control scheme is constructed in order to eliminate the coupling between stator flux and torque. To accelerate the convergence speed of neuro-network and enhance its generalisation ability, the non-linear operations are realised by the analytic operation method and the corresponding results act as the inputs of network. In addition, simulation results are provided to validate the effectiveness of the proposed scheme.
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来源期刊
International Journal of Automation and Control
International Journal of Automation and Control AUTOMATION & CONTROL SYSTEMS-
自引率
41.70%
发文量
50
期刊介绍: IJAAC addresses the evolution and realisation of the theory, algorithms, techniques, schemes and tools for any kind of automation and control platforms including macro, micro and nano scale machineries and systems, with emphasis on implications that state-of-the-art technology choices have on both the feasibility and practicability of the intended applications. This perspective acknowledges the complexity of the automation, instrumentation and process control methods and delineates itself as an interface between the theory and practice existing in parallel over diverse spheres. Topics covered include: -Control theory and practice- Identification and modelling- Mechatronics- Application of soft computing- Real-time issues- Distributed control and remote monitoring- System integration- Fault detection and isolation (FDI)- Virtual instrumentation and control- Fieldbus technology and interfaces- Agriculture, environment, health applications- Industry, military, space applications
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