| Summary: | 碩士 === 國立臺北科技大學 === 車輛工程系所 === 93 === This work developed a five degrees of freedom (DOFs) non-contact coordinate measuring machine (CMM) system to measure rapidly and accurately the surface of the workpiece. Selecting a small gap to measure the workpiece surface can obtain a close to actual size of the workpiece in the practical measuring process. However, as the excessively small gap was chose to measure the surface of the workpiece, the much white noise would be caused because of the effects of the stability of the measured laser displacement meter (LDM) and the surface roughness of the workpiece. This study chooses a gap as 0.15 mm to measure the workpiece surface for achieving a good measuring quality. The measured error of the workpiece locates in the selected gap that is a reasonable error range, as confirmed by experimental results.
Moreover, this study developed three intelligent controllers: (1) traditional fuzzy controller (TFC), (2) grey prediction fuzzy controller (GPFC), and (3) self-organizing fuzzy controller (SOFC), to effectively evaluate control performance of the five DOFs CMM. Experimental results show that the GPFC and SOFC have better control performance in reducing the trajectory tracking error than does the TFC; however, the SOFC needs a more time to learning and update control rules in controlling the CMM system for procuring good control performance than that of the TFC or GPFC.
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