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Research On Control And Dynamic Simulation Of Error Compensation

Posted on:2008-07-12Degree:MasterType:Thesis
Country:ChinaCandidate:C W YinFull Text:PDF
GTID:2132360272467672Subject:Mechanical Manufacturing and Automation
Abstract/Summary:PDF Full Text Request
Error compensation is an effective method of improving machining precision and reducing costs. Computer simulation technology has been developed as a comprehensive new discipline for 30 years, and is a useful and convenient tool to assist scientific researches. Control algorithm of error compensation was studied, an error compensation dynamic process simulation system was developed, which is oriented to teaching tests and researching experiments, based on Advanced Manufacturing Process Object Tester (AMPOT) which was developed by Advanced Manufacturing Technology Research Institute of HUST. The dynamic simulation of error compensation process is realized on the AMPOT.PID control is the most classical and active control algorithm in the control areas. Fuzzy control is the most practical method of the intelligent control methods used by control areas. On the basis of study on general error compensation control algorithm, a fuzzy PID control and a Bang-Bang—fuzzy—PID hybrid control were developed to compensate the kinematical errors and several experiments were carried out.Investigating the tools and methodologies for developing general simulation system, an interactive 3D simulation environment has been built up by using Visual C++ and OpenGL. The system achieves 3D graphics'display and synchronization control in a unified multi-window interface.Taking the motion combination of a differential nut mechanism as the object, vivid 3-D model was build by using OpenGL and Pro/E, and facilitates the analysis of visual observation.Dynamic simulation has been achieved by using OpenGL animation technology. Basic logic relations among simulation of process controls were analyzed and properly handled, and an effective control of the simulation progress was obtained. Realistic graphics has been displayed by setting up reasonable parameters of graphics. Modeled on the actual system, the data was appropriately treated in proper order, just like sampling in turn. The error compensation process is simulated objectively, in better real-time and interactively.
Keywords/Search Tags:Error Compensation, Fuzzy PID, Hybrid Control, Differential Nut Mechanism, Dynamic Simulation
PDF Full Text Request
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