Abstract
The number of applications in the industry using the PID controllers is bigger than fuzzy controllers. One reason is the problem of the tuning, because it implies the handling of a great quantity of variables like: the shape, number and ranges of the membership functions, the percentage of overlap among them and the design of the rule base. The problem is more complicated when it is necessary to control multivariable systems due that the number of parameters. The importance of the tuning problem implies to obtain fuzzy system that decrease the settling time of the processes in which it is applied, or in some cases, the settling time must be fixed to some specific value. In this work a very simple algorithm is presented for the tuning of a fuzzy controller using only one variable to adjust the performance of the system. The results are based on the relation that exists between the shape of the membership functions and the settling time. Some simulations are presented to exemplified the algorithm proposed.
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Gómez-Ramírez, E. (2007). Simple Tuning of Fuzzy Controllers. In: Castillo, O., Melin, P., Kacprzyk, J., Pedrycz, W. (eds) Hybrid Intelligent Systems. Studies in Fuzziness and Soft Computing, vol 208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37421-3_7
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DOI: https://doi.org/10.1007/978-3-540-37421-3_7
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