Title :
Adaptive Neural Network Control for Marine Shafting System Using Dynamic Surface Control
Author :
Tao, Pey Yuen ; Ge, Shuzhi Sam ; Lee, Tong Heng
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
Abstract :
In this paper, we consider the problem of tracking a desired propeller shaft speed while simultaneously minimizing torsional vibrations within the shafting system, in the presence of parametric/functional uncertainties. Neural networks are utilized to compensate for the functional uncertainties in the system model. Under the proposed control, semiglobal uniform boundedness of the closed loop signals is guaranteed, and the number and size of neural networks required are significantly reduced.
Keywords :
adaptive control; marine engineering; neurocontrollers; shafts; vibrations; adaptive neural network control; dynamic surface control; marine shafting system; propeller shaft; semiglobal uniform boundedness; torsional vibrations; Adaptive control; Adaptive systems; Control design; Control systems; Neural networks; Programmable control; Propellers; Uncertainty; Vehicle dynamics; Vibration control;
Conference_Titel :
Control Applications, 2007. CCA 2007. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-0442-1
Electronic_ISBN :
978-1-4244-0443-8
DOI :
10.1109/CCA.2007.4389317
