Predictive Control for Non-linear Dynamic Systems Using Volterra Linear Modeling
Journal Title: International Research Journal of Applied and Basic Sciences - Year 2014, Vol 8, Issue 10
Abstract
Non-Linear control is basically important part in engineering control. It has a long background using efficient variety of methods in successful industrial applications. One controller designing method in non-linear control is linearization method which was used successfully in industrial control problems. Predictive control which is a model-based control method is also one of the advanced control methods in practical applications because of its successful reason including capability of implementation in time-domain, capability of employing constraints during designing, and capability of employing to multi-variable systems.This article deals with investigating and implementing predictive control for non-linear dynamic systems using Volterra linear modeling. Volterra model has capability of modeling non-linear systems and can be introduced as an efficient model in predictive control because of its simple use and its capability of modeling non-stable systems. If the criterion function is modified, the optimization of problems will be resolved; such problems as incapability of controlling a stable system which has any zero out of the unit circle and also existing any area which has bad attenuation in the z-plane.
Authors and Affiliations
Ahmad Yaghoobi Avval| Sama technical and vocatinal training college,Islamic Azad University,Gonabad Branch,Gonabad,Iran, Asef Zare| Islamic Azad University,Gonabad Branch,Gonabad,Iran, Kamran Torabi| Islamic Azad University,Gonabad Branch,Gonabad,Iran
Keywords
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