Abstract
An intelligent predictive control with locally linear neurofuzzy identifier and numerically optimization procedure has been proposed for temperature control of electrically heated micro heat exchanger. To this end, first the dynamics of the micro heat exchanger is identified using Locally Linear Model Tree (LOLIMOT) algorithm. Then, the predictive control strategy based on the LOLIMOT model of the plant is applied to provide set point tracking of the output of the plant. Some computer simulation is provided to show the effectiveness of the proposed controller. Simulation results show better performance for the proposed controller in comparison with PID controller.
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Roudsari, F.H., Jalili-Kharaajoo, M., Khajepour, M. (2005). Design of Intelligent Predictive Controller for Electrically Heated Micro Heat Exchanger. In: Huang, DS., Zhang, XP., Huang, GB. (eds) Advances in Intelligent Computing. ICIC 2005. Lecture Notes in Computer Science, vol 3645. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538356_30
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DOI: https://doi.org/10.1007/11538356_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28227-3
Online ISBN: 978-3-540-31907-8
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