Research On Hardware Platform Optimization And Key Technologies Of Dynamic Metrology For WMPS

Segments building and integral assembly process was often adopted in large equipment manufacturing industry. It's essential to utilize dynamic coordinate metrology to monitor assembly process in real-time, provide pose and position information, and guarantee assembly accuracy. wMPS(workspace Measuring Position System) is a novel coordinate measuring system based on optoelectronic scan. Considering the characteristics of on-field dynamic metrology, such as high real-time, parallel measurement of multiple targets, the hardware of wMPS were designed and optimized, and the dynamic measurement method was also studied. The main contents of this dissertation as follows:1. The features of on-field dynamic metrology which used for assembly were analyzed, the available dynamic tracking methods and application were also reviewed. By comparison with these methods, the advantages of wMPS in dynamic measurement, such as high automation degree, robust parallel measurement capability, excellent tracking performance, and so on were described emphatically.2. With the analysis of influence of station's scanning speed and stability on dynamic bearing angles measurements, the electronic systems of station were optimized for two key aspects: improve the stability of scan and reduces the friction of motion parts. The stable speed driving system for station based on phase-locked and non-contactless power supply for rotating head based on electromagnetic induction were utilized to ensure the long-term stability of laser station.3. According to the multiple target and high real-time performance requirements of on-filed dynamic measurement, the position sensor was designed, the task of coordinate calculation was removed from central computer to front-end processor, and the real-time operating system was adopted to ensure the measurement data were handled promptly.4. The influence of target movements and asynchronous measurement data on the error of dynamic measurement was analyzed. Based on these analysis, two-points deduction method was used to synchronize measurement data, and an improved dynamic algorithm combining least-square method and linear Kalman filter was proposed, which used least-square estimation as pseudo observation to linearize measurement equations and improve the dynamic accuracy. In addition, the time-alignment system for multi-sensors was designed, which ensure the synchronism of sensors.