سال انتشار: ۱۳۸۶
محل انتشار: هفتمین همایش انجمن هوافضای ایران
تعداد صفحات: ۵
Ali Kazemy – Department of Electrical Engineering, Ph.D student of electrical engineering, control major.
Seyed Amin Hosseini – M.S. of electrical engineering, control major
Mohammad Farrokhi – Associate Professor of electrical engineering, control major, Center of Excellence for Power System Automation and Operation Iran University of Science and Technology, Tehran
In this paper, first, the dynamic equations of a submarine periscope will be extracted and verified with real data. These data are acquired from an experimental setup. Then, using a neural network, a hybrid intelligent control method will be applied to control the periscope model. This control scheme is combined of a proportional controller with a feedforward neural network to adapt the controller to the nonlinearities and parameter changing of the plant. The neural network will be trained on-line without any predefined initial weights to cope with the changes in the system parameters. Simulation results will be compared with the conventional PID controller, which reveals good performance of the proposed controller.