Simulation of Tool Vibration Control in Turning, Using a Self-Sensing Actuator

Besides reducing the restricting effects of tool vibrations on productivity, work-piece surface finish and tool life, it is desirable to handle lack of space for sensors at the tool tip and the cost of control systems in turning processes in an effective way. This work considers these two aspects by exploiting the concept of a self-sensing actuator (SSA) in the simulation of tool vibration control. The tool holder structure, in its passive as 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 the inputs to the LMS-algorithm maintains the stability of the control system. The self-sensing path is modeled and illustrated. It consists of the transmission of the tool tip displacement to the SSA where it is sensed by converting it into a voltage signal. A considerable reduction of 93% of the displacement r.m.s. values of the tool tip, was obtained when simulating this control system.