Intelligent mixed H2/H∞ adaptive tracking control system design using self-organizing recurrent fuzzy-wavelet-neural-network for uncertain two-axis motion control system
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- 作者：Fayez F.M. El-Sousya ; b ; f.elsousy@psau.edu.sa" class="auth_mail" title="E-mail the corresponding author
- 关键词：Fuzzy wavelet neural network (FWNN) ; Lyapunov satiability theorem ; Mixed H2/H&infin ; tracking performance ; Permanent-magnet linear synchronous motor (PMLSM) ; Two-axis motion control system ; X&ndash ; Y table
- 刊名：Applied Soft Computing
- 出版年：2016
- 出版时间：April 2016
- 年：2016
- 卷：41
- 期：Complete
- 页码：22-50
- 全文大小：5163 K
文摘
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An intelligent adaptive tracking control system (IATCS) for X–Y table is proposed.
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The SORFWNNC is used to adaptively estimate lumped parameter uncertainties online.
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Structure and parameter learning of SORFWNN are performed concurrently and online.
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The adaptive laws are derived using Lyapunov stability and H2/H∞ performance.
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All control algorithms are implemented using DS1104 DSP-based control computer.