Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (29): 196-200.
• 工程与应用 • Previous Articles Next Articles
HOU Hai-liang,PENG Hui
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一种新的ARX模型在磁悬浮系统建模中的应用
侯海良,彭 辉
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Abstract: This paper focuses on the modeling of magnetic levitation control system using RBF-ARX model,also discuses the principium of RBF-ARX model,model structure design,model parameters identification,parameter optimization and so on.Finally,the authors have used different series as state variable,established the RBF-ARX model separately and analyzed the reliability and performance of the model respectively.The results of simulation studies finally show the effectiveness of RBF-ARX model for the modeling and identification of nonlinear systems.In contrast to ARX model,RBF-ARX model is good at modeling of nonlinear systems.
Key words: magnetic levitation systems, model-based predictive control, RBF-ARX model, Structured Nonlinear Parameter Optimization Method(SNPOM)
摘要: 采用一种新的ARX模型(RBF-ARX模型)对磁悬浮系统进行离线建模,讨论了RBF-ARX模型的原理、结构的选取、模型参数辨识和RBF参数优化等问题。文章分别采用不同的序列作为状态变量,分别建立RBF-ARX模型,并分析了各模型的性能及可靠性。模型的预测输出和仿真结果,证实了RBF-ARX模型在非线性系统建模和辨识中的有效性。通过与ARX模型的比较,证明了RBF-ARX模型在非线性系统建模中效果更好。
关键词: 磁悬浮系统, 模型预测控制, RBF-ARX模型, 结构化非线性参数优化策略
HOU Hai-liang,PENG Hui. Application of new ARX model to identification for magnetic levitation control system [J]. Computer Engineering and Applications, 2007, 43(29): 196-200.
侯海良,彭 辉.
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http://cea.ceaj.org/EN/Y2007/V43/I29/196