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Develop And Research On Microprocessor-based Hydraulic Turbine Governor

Posted on:2006-05-22Degree:MasterType:Thesis
Country:ChinaCandidate:R ZhouFull Text:PDF
GTID:2132360182969947Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
The governing system of hydraulic turbine is a integrate system of machinery, electricity and fluid, which is an automatic control system with a regulator of hydro turbine. The rotating speed of the units shall be automatically controlled, maintaining an invariant speed so as to ensure a safe and normal operation of the unit(s). Microprocessor-Based hydraulic turbine governor is an important automatic control equipment of hydro-electric generator unit. At present, PID controllers are the most widely used controllers in the hydraulic turbine governor. Parameter tuning of hydraulic turbine governor plays an important role in the safe and normal operation of the hydro-electric generator unit and is mainly way to improve control system robustness and dynamic feature. With computer technology development, Microprocessor-Based hydraulic turbine governor widely used hydraulic power plate. This dissertation analyzes and designs the hardware and software of Microprocessor-Based hydraulic turbine governor detailedly . The design of a computer test and control platform of hydraulic turbine governor based on Labwindows/CVI in the dissertation. The platform could fulfill adopting,save,detecting and testing function. The dissertation also introduces a method of using genetic algorithm to optimize the Kp,Ki,Kd parameters. Based on Matlab, emulation test is also introduced. The emulation shows that the method doesn't depend on the initial parameter value of the system and the searching efficiency can be ameliorated and has strong robustness. At the same time, the optimal-tuning PID control system on the basis of genetic algorithm can successful reduce overshoot value and provide better transient response. To governor on the basis of PID control, this method is practical and significant.
Keywords/Search Tags:hydraulic turbine governor, genetic algorithms, adaptive control PID control law, Labwindows/CVI, emluation
PDF Full Text Request
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