DocumentCode :
3461694
Title :
Research on Simulation Platform for Performance Analyses of Model Vessel
Author :
Tang, Zhiyong ; Pei, Zhongcai ; Peng, Zhaoqin ; Wang, Zhanlin
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beijing Univ. of Aeronaut. & Astronaut.
fYear :
2006
fDate :
20-23 Aug. 2006
Firstpage :
451
Lastpage :
455
Abstract :
Rotating arm basin was used to do the hydrodynamic performance simulation experiments of model vessel. As an important parts of the rotating arm basin, the simulation platform is one of the primary factors that effect the accuracy of the experimental result. A kind of simulation platform for performance analyses of model vessel was introduced in this paper. Because this system has a strong disturbance torque, a combined control system was presented to overcome the limitation of traditional disturbance observer. The combined controller is based on predictive neural network (PNN), feedforward control and PD control. If the predictive outputs are much different from real outputs, the PD control and feedforward control are important factors, and when the predictive error is small enough, the PNN control plays important role. In order to prove the effectiveness of this controller, simulations have been done
Keywords :
PD control; feedforward; neurocontrollers; performance evaluation; ships; underwater vehicles; PD control; control system; disturbance observer; feedforward control; hydrodynamic performance simulation experiments; model vessel; predictive neural network; rotating arm basin; Analytical models; Control systems; Error correction; Feedforward neural networks; Hydrodynamics; Neural networks; PD control; Performance analysis; Torque control; Vehicles; Combined control; Predictive neural network; Rotating arm basin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Acquisition, 2006 IEEE International Conference on
Conference_Location :
Weihai
Print_ISBN :
1-4244-0528-9
Electronic_ISBN :
1-4244-0529-7
Type :
conf
DOI :
10.1109/ICIA.2006.305756
Filename :
4097978
Link To Document :
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