Performance evaluation and risk management for industrial systems by using fuzzy controller
by Abdennaceur Zizouni, Abdeldjebar Hazzab, Ismail Khalil Bousserhane, Pierre Sicard
International Journal of Adaptive and Innovative Systems (IJAIS), Vol. 1, No. 3/4, 2010

Abstract: In this work, we present a synthesis methodology of a multivariable fuzzy controller for the control of a multi-motor system (MMS) that can be intended for winding and unwinding controlled transport processes. The simulation results show that the integration of the fuzzy multivariable controller brought good performances compared to the multivariable PI-structure controller, and a clear improvement at the level of control and synchronism performances between velocities of the MMS motors compared to the fuzzy mono-variable controller. This shows that the integration of the proposed controller can increase the line production.

Online publication date: Mon, 23-Aug-2010

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