科研之友
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摘要
Based on the characteristic analysis of mid-convex and varying ellipse pistons, a scheme of a fast tool servo (FTS) system is brought forward, which is driven by a piezoelectric actuator, Both the dynamic hybrid model for hysteresis compensation of piezoelectric actuator and the noncircular turning process model for cutting force control are expatiated in use for the real-time and high-precision tracking control of FTS. Built on these models, two control loops are devised using cerebellar model articulation controller (CMAC) neural networks. Integrated with the Preisach concept, the inner CMAC loop is designed to learn on-line and compensate for the nonlinear hysteresis and frequency dependent effect of a piezoelectric actuator. Combined a CMAC identifier with a CMAC controller, the outer loop is constructed to perform the adaptive inverse control of cutting force in the noncircular turning process. Experimental results show that the proposed control policy is effective.
