Application of Fuzzy Neural Network in Ship Course Control

Abstract:

As the uncertainty of parameters and the random nature of disturbances that effect a ship’s course，one of the methods which can be used for designing a nonlinear ship course controller is the neural intelligent method. It is used here for designing a configuration of a nonlinear controller, which are then applied to ship course control. In the paper, we used fuzzy logic and neural network based on T-S model to design the controller. During the control design process, the structure of ship automatic steering and fuzzy neural network feedback controller were built. In order to enhance adaptive characteristics of the controller，the parameters of the network were optimized by a GA algorithm. The proposed course keeping method was tested in a simulation study involving a non-linear model of a ship. Simulation results show that the performance of the ship controller is valuable and easy to implement.

• Periodical: Applied Mechanics and Materials (Volumes 135-136)
• Pages: 309-315
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.135-136.309
• Online since: October 2011
• Authors: Guan Shan Hu, Ying Bing Zhou, Hai Rong Xiao
• Keywords: Course Control, Fuzzy Logic, Neural Network (NN), Ship

References

[1] Jia Baozhu Ren Guang Zhang Hongpeng Marine An Approach of Signal Detecting on Ship Control Test-bed, pp: 3407-3410 Proceedings of 6th International Symposium on Test and Measurement(Volume 4). June (2005).

[2] Jianghua Sui, Yejin Lin, Ren Guang. A Genetica1ly Optimized Fuzzy Neural Network For Ship Controller. pp: 1367-2371. Proceedings of the 2006 IEEE International Conference Mechatronics and Automation, June (2006).

DOI: 10.1109/icma.2006.257827

[3] Changshen Jiang, Congqing Wang, Intelligence control and application, Science Press, Beijing , January (2007).

[4] E. Alfaro-Cid, Optimisation of time domain controllers for supply ships using genetic algorithms and genetic programming, Ph.D. dissertation, Univ. Glasgow, Glasgow, U.K., (2003).