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Stratosphere Airship Multi-Energy Management And Optimizing System Design

Posted on:2009-07-27Degree:MasterType:Thesis
Country:ChinaCandidate:L J FangFull Text:PDF
GTID:2132360242476686Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
Energy management is one of the key challenges of the Stratosphere airship system. Based on the high complexity of controlling, variation of environment and long duration in the air, energy system has become the bottleneck of the whole airship system. As an effective solution, multi-energy system is broadly researched.This theme designs a multi-energy——solar cell, fuel cell, lithium cell and aviation electrical machine——optimizing management system of Stratosphere airship which includes the static energy loading scheme and dynamic configuration of four energy sources. Based on the variation of the airship flying moods and system-related energy demands, a finite-state machine is applied to design the real-time tracking arithmetic of energy scheduling and the design is simulated by MATLAB/STATEFLOW. Markov theory is also used to define state transaction matrix and further analysis. The arithmetic can guarantee the independence of the whole energy module as well as the alert of mutual-operation of other parts of the airship system。The verification of the design is also discussed.The creativity of the research is in the following fields:(1)Finite state machine is applied to system design and analysis based on the complexity of the system;(2)design a static optimizing software structure-- LABVIEW 7 + C(MATLAB) + E-sheet/database + LINGO 9,which can apply for various industrial optimizing system;(3)isolate the controlling system and energy management system by adding a energy-computing module between them;(4)real-time operating system concept is applied in the design for further implementation;(5)apply MARKOV theory and create a transaction matrix for further analysis.
Keywords/Search Tags:Stratosphere airship, energy configuration, finite-state machine, Markov process
PDF Full Text Request
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