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Genetic-fuzzy Controller Design for Pneumatic Motors: Speed Control
Vedat Topuz
Genetic-fuzzy Controller Design for Pneumatic Motors: Speed Control
Vedat Topuz
Trajectory tracking fuzzy logic controller (TTFLC) is proposed for the speed control of a pneumatic motor (PM). A third order trajectory is defined to determine the trajectory function that has to be tracked by the PM speed. Genetic algorithm (GA) is used to find the TTFLC boundary values of membership functions (MF) and weights of control rules. In addition, artificial neural networks (ANN) modelled dynamic behaviour of PM is given. This ANN model is used to find the optimal TTFLC parameters by offline GA approach. The experimental results showthat designed TTFLC successfully enables thePMspeed track the given trajectory under variousworking conditions.
Media | Books Paperback Book (Book with soft cover and glued back) |
Released | May 23, 2011 |
ISBN13 | 9783844398335 |
Publishers | LAP LAMBERT Academic Publishing |
Pages | 132 |
Dimensions | 150 × 8 × 226 mm · 204 g |
Language | English |
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