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Development Of Fault Self-diagnosis System For Fire Power Supply

Posted on:2018-05-15Degree:MasterType:Thesis
Country:ChinaCandidate:J N GuoFull Text:PDF
GTID:2348330536459806Subject:Control engineering
Abstract/Summary:PDF Full Text Request
For the phenomenon of the frequent fire accident nowadays,but because the emergency power supply can not be functioned at a critical moment so that caused heavy casualties and property loss,it is the design of the fault diagnosis of the emergency power supply system that provided a guarantee for the rescue of the accident.Firstly,based on the modular design method,designed the intelligent fire control system.as to the inverter,we have a deep research on the principle and topology and a analysis on both PWM inverter control technology and Output Characteristics.Then,we give an overall design of the inverter power.Secondly,the instantaneous fault diagnosis method of fire power supply system is studied.The instantaneous fault state equation and fault elimination method for fire power supply system are given,and the working principle of intelligent fault diagnosis technology for fire power supply system is discussed.At the same time,the working principle of the double closed-loop control system is analyzed,and the control structure of the improved repetitive control is given.Combined with the advantages of the two control methods,the composite control algorithm of the double-loop closed-loop control algorithm is adopted.The numerical simulation results show that the composite control method of voltage-current double closed-loop control algorithm can improve the dynamic and static parameters for the control system,and the dynamic response of the system is fast and the steady-state precision is improved.Research intelligent fault diagnosis technology based on fuzzy theory,according to the engineering experience,combined with the advantages of both fuzzy transitive closure method and fuzzy ISODATA method;selectthe typical 10 team samples to fuzzy clustering analysis simulate calculation.Through analysis the simulation results,proved of the fuzzy clustering analysis algorithm that this paper used is effectively and realization of the fault diagnosis functionrapidly and accurately.
Keywords/Search Tags:Fire emergency, Inverter system, Hybrid control Fault self-diagnosis
PDF Full Text Request
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