Intelligent cross-coupled fuzzy feedrate controller design for CNC machinetools based on genetic algorithms

In this paper, an intelligent contour control strategy has been investigate d to improve the contour error of CNC machine tools. An uncoupled contour c ontrol system is first analyzed and then a cross-coupled controller is adde d in the control loop to form a cross-coupled contour control system. An al gorithm for an on-line estimation of the contour error in arbitrary curved contouring is also proposed. To further reduce the contour error, a cross-c oupled fuzzy feedrate control scheme is presented. The controller parameter s are all optimized by a genetic based learning algorithm. Experimental res ults show that the proposed control scheme is effective to improve the cont ouring accuracy of CNC machine tools. (C) 1999 Elsevier Science Ltd. All ri ghts reserved.