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Study on Intelligent Control Strategy for Large Aspheric Mirror Polishing Process

Author: FengYongTao
Tutor: ChenMinYou
School: Chongqing University
Course: Electrical Engineering
Keywords: Aspheric polishing Stress plate Intelligent Control Fuzzy RBF neural network model
CLC: TH74
Type: Master's thesis
Year: 2010
Downloads: 134
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Abstract

Aspheric optical components having the aberration correction, to improve image quality, to expand the field of view and to increase the effective distance of the advantages is also possible to reduce the weight of the system, to reduce the occupied space, and therefore has a wide application in modern optical system. Aspherical surface polishing an indispensable stage as a large non-spherical surface machining, the machining accuracy and surface quality directly affects the overall efficiency of the aspherical surface processing. With the growing performance requirements of the optical system, the caliber of the aspheric optical parts, relative aperture, precision, lightweight level, processing efficiency and production costs are put forward higher requirements. Computer control stress plate polishing technology is a large aspherical lens manufacturing recently developed a new technology. Stress rent according to the changes of the relative mirror position and the rotation angle of the surface shape of the dynamic change for rent make it into an off-axis aspherical, real-time dynamic deformation to fit the large non-spherical mirror shape. Passive stress rent polishing has a smooth, high-frequency differential trend can be well controlled, the high frequency differential appears to effectively improve the processing efficiency, and polished to a smooth surface and good edge effect. Computer controlled stress rent has its advantages, but there are some difficult problems to be resolved, such as the stress model uncertainty for rent, highly nonlinear optical processing performance requirements in the production of large aspheric, especially the depth of the off-axis aspheric and other issues. The main task of this thesis work for the the stress plate polishing process modeling and control problems, the establishment of accurate and reliable polishing disc model and the corresponding intelligent control strategy, stress disk technology to improve and enhance China's large and medium-sized non-spherical optical parts processing capability. Thesis work includes the following sections: (1) introduce the aspherical demand, the importance of non-spherical optical system and development trend, to clarify the research background at home and abroad aspheric manufacturing technology. (2) analysis of the basic principles of this study object stress plate processing and technology roadmap, given the stress plate structural features of the stress of the disk-shaped detection method. The relationship of the the ③ stress disk system experimental input and output data, analysis of the correlation between variables. Laid the foundation for the establishment of the neural network model of the relationship between the measurement of reaction surface shape change in the drive output force. (4) the use of intelligent control theory and methods, combined with the characteristics of stress disk controller proposed fuzzy neural network intelligent control programs oriented multivariable systems. (5) design stress disc intelligent control system is proposed based on neural network stress Characterization of the disk-shaped model can reflect the stress of real-time dynamic deformation of the disk for the computer-controlled stress disc polishing process. Surface shape data obtained by micro-displacement sensor array detector directly train the neural network model, the establishment of a model of the relationship between stress disk drive force and stress the disk surface shape changes, and model simulation, simulation of various driving force stress The disk-shaped changes in comparative analysis. (6) in the study on the basis of the relationship between the changes in the stress of the disk-shaped, stress analysis, disk drive force and the planar aspheric optical mirror polishing process, the establishment of the surface shape control system based on fuzzy neural network. -Shaped micro-displacement sensor array detector data to train the neural network model and the model is compared simulation experiments. (7) on the basis of intelligent control systems have been designed to stress disk, developed a good man - machine interface stress plate intelligent control simulation system platform. (8) summarizes the contents of the papers, the outlook on the the stress plate polished aspheric control system.

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