Abstract
In this paper Fuzzy Logic Systems (FLS) for controlling non-minimumphase systems are proposed. A generalized Proportional Integral Derivative (PID) Fuzzy Logic Controller (FLC) for a benchmarking second order problemwith an unstable zero is presented. The same Fuzzy Rule Base (FRB) of the PID FLC is used in a PD FLC to regulate a plant consisting in a non-minimum-phase servomechanism with nonlinear backlash. Simulations demonstrate that the proposed FLC can be used to handle the non-minimum-phase systems.
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Cazarez-Castro, N.R., Aguilar, L.T., Castillo, O., Rodríguez-Dŕaz, A. (2009). Controlling Unstable Non-Minimum-Phase Systems with Fuzzy Logic: The Perturbed Case. In: Castillo, O., Pedrycz, W., Kacprzyk, J. (eds) Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control. Studies in Computational Intelligence, vol 257. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04514-1_14
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DOI: https://doi.org/10.1007/978-3-642-04514-1_14
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