This paper presents a dynamic characteristic-based fuzzy adaptive control algorithm (DCbFACA) to avoid the influence of cutting\nforce changing rapidly on the machining stability and precision. The cutting force is indirectly obtained in real time by monitoring\nand extraction of the motorized spindle current, the feed speed is fuzzy adjusted online, and the current was used as a feedback\nto control cutting force and maintain the machining process stable. Different from the traditional fuzzy control methods using the\nexperience-based control rules, and according to the complex nonlinear characteristics of CNC machining, the power bond graph\nmethod is implemented to describe the dynamic characteristics of process, and then the appropriate variation relations are achieved\nbetween current and feed speed, and the control rules are optimized and established based on it.The numerical results indicated\nthat DCbFACA can make the CNC machining process more stable and improve the machining precision.
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