Abstract
This paper presents a new approach using switching grey prediction PID controller to an experimental propeller setup which is called the twin rotor multi-input multi-output system (TRMS). The goal of this study is to stabilize the TRMS in significant cross coupling condition and to experiment with set-point control and trajectory tracking. The proposed scheme enhances the grey prediction method of difference equation, which is a single variable second order grey model (DGM(2,1) model). It is performed by real-value genetic algorithm (RGA) with system performance index as fitness function. We apply the integral of time multiplied by the square error criterion (ITSE) to form a suitable fitness function in RGA. Simulation results show that the proposed design can successfully adapt system nonlinearity and complex coupling condition.
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© 2006 Springer-Verlag Berlin Heidelberg
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Juang, JG., Tu, KT., Liu, WK. (2006). Hybrid Intelligent PID Control for MIMO System. In: King, I., Wang, J., Chan, LW., Wang, D. (eds) Neural Information Processing. ICONIP 2006. Lecture Notes in Computer Science, vol 4234. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893295_72
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DOI: https://doi.org/10.1007/11893295_72
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46484-6
Online ISBN: 978-3-540-46485-3
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