傳統的雷射加工機只能於二維工作平面做固定深度的加工,所以無法執行2.5D的加工。本論文針對雷射電源控制器之研究,採用數位脈波調變的架構來設計雷射電源之功率控制器。以視覺檢測應用於雷射切割機在進給速率、功率之切割深度特性評估,其次,再採用適應類神經模糊推論系統(ANFIS)法則,針對雷射加工機制建模其切削深度與進給速率、雷射電源功率,以克服系統之時變與非線性的特性,並分析其相互間的影響。在則,本論文使用ARM 核心之嵌入式系統的控制器,在雷射加工機台上,發展一具加工深度與雷射電源建模結果的控制器,以驗證建模結果的可行性。最後,本文針對雷射加工機撰寫其2.5D 加工相關之指令,執行雷射加工電源的PWM 控制,將灰階化影像使用2.5D加工的方式,將明暗之色彩對應到淺深的加工,逹到2.5D 雷射加工的目的。
The traditional laser cutting machine only work in a single plane with a fixed depth of cut and cannot be used in 2.5D. This research project is developed a laser power controller with the use of digital pulse width modulation (DPWM) for a laser cutting machine for 2.5D cutting. The behavior pattern of the cutting depth against feed rate and power of the laser were examined initially. Then the adaptive network based fuzzy inference system (ANFIS) is used to model the relationship between the parameters. The power of the laser can be estimated by using this model to get the required depth of cut. ARM architecture based embedded system is used to generate DPWM signals to control the power of the laser and hence the depth of cut. This project also implemented an interpreter to get the 2.5D facility with use of existing instruction of the laser machine. This method is achieved the expected level of 2.5D laser cutting with the use of DPWM method.