Gradient Based Iterative Identification of Multivariable Hammerstein-Wiener Models with Application to a Steam Generator Boiler
Publish place: 20th Iranian Conference on Electric Engineering
Publish Year: 1391
نوع سند: مقاله کنفرانسی
زبان: English
View: 1,260
This Paper With 6 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ICEE20_238
تاریخ نمایه سازی: 14 مرداد 1391
Abstract:
Most of the real industrial systems are nonlinear and multivariable which might be correlated with some noises. Therefore, considering a model which can effectivelycharacterize these types of systems are very appealing. In this regard, this paper presents a multivariable Hammerstein- Wiener model for identification of nonlinear systems withmoving average noises. For this purpose, this model is first reexpressed as a multivariable pseudo-linear regression problem.Then, a gradient based iterative learning algorithm is invoked which can successfully estimate the matrix of unknownparameters as well as the noises. The efficiency of the proposed identification scheme is investigated through data for a real multivariable nonlinear process as a case study. This process isa Steam Generator Boiler at Abbott Power Plant in Champaign IL which has characteristics of instabilities, nonlinearity, nonminimumphase behaviour, time delays, noise spectrum in the same frequency range of the plant dynamics, and load disturbances. As the results verify, this approach is quite efficient for identification of multivariable nonlinear systems
Keywords:
Nonlinear system identification , multivariable systems , Hammerstein-Wiener model , moving average noises , gradient based iterative algorithm
Authors
Masoumeh Jafari
Department of Power and Control, School of Electrical and Computer Engineering,Shiraz University, Shiraz, Iran.
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :