Abstract
We use the Particle Swarm Optimization (PSO) method to find the parameters of the membership functions of a type-2 fuzzy logic controller (Type-2 FLC) in order to minimize the state error for linear systems. PSO is used to find the optimal Type-2 FLC to achieve regulation of the output and stability of the closed-loop system. For this purpose, we change the values of the cognitive, social and inertia variables in the PSO. Simulation results, with the optimal FLC implemented in Simulink, show the feasibility of the proposed approach.
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Martinez, R., Castillo, O., Aguilar, L.T., Rodriguez, A. (2010). Optimization of Type-2 Fuzzy Logic Controllers Using PSO Applied to Linear Plants. In: Castillo, O., Kacprzyk, J., Pedrycz, W. (eds) Soft Computing for Intelligent Control and Mobile Robotics. Studies in Computational Intelligence, vol 318. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15534-5_11
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DOI: https://doi.org/10.1007/978-3-642-15534-5_11
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