Besides reducing the restricting effects of tool vibrations on productivity, work-piece surface finishand tool life, it is desirable to handle lack of space for sensors at the tool tip and the cost of control systemsin turning processes in an effectiveway. Thiswork considers these two aspects by exploiting the concept of aself-sensing actuator (SSA) in the simulation of tool vibration control. The tool holder structure, in its passiveas well as active state, is modeled as a supported cantilever. A feedback filtered-x least-mean-square (LMS)algorithm is chosen to compute the control action. A known technique, which consists of pre-filtering theinputs to the LMS-algorithm maintains the stability of the control system. The self-sensing path is modeledand illustrated. It consists of the transmission of the tool tip displacement to the SSA where it is sensed byconverting it into a voltage signal. A considerable reduction of 93% of the displacement r.m.s. values of thetool tip, was obtained when simulating this control system.
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