NDLI: CMAC neural networks based combining control for marine diesel engine generator

Content Provider	IEEE Xplore Digital Library
Author	Weifeng Shi Tianhao Tang
Copyright Year	2004
Description	Author affiliation: Dept. of Electr. Autom., Shanghai Maritime Univ., China (Weifeng Shi; Tianhao Tang)
Abstract	In neural networks control system, CMAC neural networks control is provided with characteristic of learning online and rapidly. Combine with CMAC neural networks and PID controlling, a combining control was built for marine diesel engine generator system. The CMAC neural networks control was not simply copy from PID control in the generator combining control system. Through learning of CMAC neural networks continuously, the CMAC neural networks control become main effect control. In a power system control simulation of a marine electric propulsion vessel, this control method was used. Under the simulating test of adding 50% or 16% active load of generator rating value suddenly and simulating test of three phase grounding fault, the control dynamic characteristic was satisfactory with CMAC neural networks combine control of marine diesel engine generator system.
Sponsorship	Zhejian Univ. Nat. Lab. of Ind. Control Technol. IEEE Robotics and Automation Soc. Nat. Natural Sci. Found. of China Chinese Assoc. of Automation
Starting Page	2651
Ending Page	2655
File Size	322282
Page Count	5
File Format	PDF
ISBN	0780382730
DOI	10.1109/WCICA.2004.1342078
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-06-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Diesel engines Control systems Power system simulation Three-term control System testing Character generation Power system control Propulsion Grounding
Content Type	Text
Resource Type	Article

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