Thermal error calibration principle of precision machine and parameter genetic optimization algorithms

The thermal error calibration mechanism of precision machine was presented and the accuracy index of active calibration thermal deformation was proposed. The problem that removing and adding thermal actuators affect the accuracy index was discussed. Research revealed that calibration control accuracy was related to thermal actuator number,displacement and amplitude. The optimization purpose is to obtain the best combination of thermal actuator and parameter of amplitude so that the thermal error calibration accuracy index is minimum and thermal actuators and amplitude parameters satisfy the restriction conditions. The genetic algorithms were introduced for optimization design the parameters of the thermal actuator. An revealed that the thermal error calibration mechanism can guide the design of calibration control system and genetic algorithms of optimizing amplitude parameters have an advantage of quick convergence.