大型kdp晶体快速生长装置温控系统的研究机械制造及其自动化专业论文.docxVIP

大型kdp晶体快速生长装置温控系统的研究机械制造及其自动化专业论文.docx

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大型kdp晶体快速生长装置温控系统的研究机械制造及其自动化专业论文

The The Research of Temperature Control System for Large KDP Crystal Growth Equipment Abstract As kind of excellent nonlinear optical materials,KDP crystal is widely applied in the 1aser frequency conversion,electrooptical modulation,optical switches and other high-tech areas.It is material for 11igh power laser system,and is the only nonlinear optical crystal for inertial confinement engineering.Solution circulating method effective way ot preparation of large—aperture KDP crystals,the basic principle of this approach is to take advanta2es of the solubility difference of KDP crystals under different temperature,which will dissolye out KDP crystal under metastable state in the solution.Temperature control for KDP crystal growth have great influence on the growth speed of KDP crystal,KDP crystal intemal defects and the optical property,especially for the circulation flow of KDP crystals 盯owth,the growth tank temperature fluctuations directly results in the formation of crystal sector inclusions.Therefore,the low volatility of temperature control IS of extremely value tor lli曲quality large—apertme KDP crystals preparation. Firstly,each of KDP solution tanks iS deal temperature control object,and then obtain the mathematical model the object by step experiments,using the robust parameter identification technology to identify the model parameters for temperature control object;Foo the executive part.the duty ratio method was applied to control power output,to get 900d linear relationship between the output power and duty ratio in certain range· To solve the time delay,big inertia,time varying and unsteady interference problems ot large.aperture KDP growth tank,the DMC control algorithm was applied,which performances much more advantages in this control problem compared with least-square forecast control algorithm and Smith forecast correction control method.For the adjustable parameter in DMC control algorithm such the prediction step length,local optimization compen

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