A simplified approach to design fuzzy logic controller for an underwater vehicle

摘要: Abstract Fuzzy logic controller (FLC) performance is greatly dependent on its inference rules. In most cases, the more rules being applied to an FLC, accuracy of control action enhanced. Nevertheless, a large set requires computation time. As result, FLC implementation fast and high processors. This paper describes simplified scheme design fuzzy for underwater vehicle namely, deep submergence rescue (DSRV). The proposed method, known as single input (SIFLC), reduces conventional two-input (CFLC) FLC. SIFLC offers significant reduction in rule inferences simplifies tuning process parameters. validated via simulation by using marine systems simulator (MSS) Matlab/Simulink® platform. During simulation, DSRV subjected ocean wave disturbances. results indicate that SIFLC, Mamdani Sugeno type CFLC give identical response same sets. However, very minimum effort execution time orders two magnitudes less than CFLC.