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By using the quasi steady state and mixed modeling methods, the nonlinear mathematical model of the ship main propulsion system is established. An improved integrated control algorithm based on CMAC and PID is presented in the ship propulsion system. Simulation computing is completed to investigate the dynamic characteristics of the ship propulsion system on rough sea conditions. The results show...
Aiming to the control feature of large delay system like ships, designing a 2-rank derivative multi-step neural network predictive model and the algorithm, and presenting a fuzzy control scheme based on the model with PID neural network and fuzzy CMAC controller, we solve the problems of model online identification and controller online design in traditional adaptive control, so that the high precision...
Combined CMAC addressing schemes with fuzzy logic idea, a general fuzzy CMAC (GFAC) is proposed, in which the fuzzy membership functions are utilized as the receptive field functions. The mapping of receptive field functions, the selection law of membership function and the learning algorithm are presented. Recursive least-squares temporal difference algorithm (RLS-TD) is deduced, which can use data...
An intelligent autonomous control algorithm for ship autopilot and main propulsion engine is proposed. A general fuzzy CMAC controller with eligibility (FCE), which possesses good real-time learning characteristics, is discussed and applied to ship intelligent control. The eligibility can forecast the control effect, and improve the system stability. The structure of FCE system is presented, and its...
Aiming at conventional cerebellar model articulation controller (CMAC), and combining CMAC addressing schemes with fuzzy logic idea, a general fuzzified CMAC (GFAC) is proposed, in which the fuzzy membership functions are utilized as the receptive field functions. The mapping of receptive field functions, the selection law of membership and the learning algorithm are presented in the paper. By using...
The application of CMAC control techniques for improving the performance of ship steering is discussed. Combining CMAC addressing schemes with fuzzy logic idea, a general fuzzified CMAC (GFAC) is proposed, in which the fuzzy membership functions are utilized as the receptive field functions. Then a GFAC based model reference adaptive controller is described, whose required teacher signals are explicitly...
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