Abstract
This paper proposes the optimization of an incremental fuzzy PD controller based on a genetic algorithm, which optimizes the parameters of membership functions of the inputs and outputs. The multiobjective GA is considered because it evaluates three characteristics of the controller (steady state error, overshoot and undershoot). The application of this controller is to regulate the engine speed of a direct current (DC) motor. A methodology to test and validate this controller through Matlab-Simulink is presented.
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Maldonado, Y., Castillo, O., Melin, P. (2010). Optimization of Membership Functions for an Incremental Fuzzy PD Control Based on Genetic Algorithms. 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_12
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DOI: https://doi.org/10.1007/978-3-642-15534-5_12
Publisher Name: Springer, Berlin, Heidelberg
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