Thermal Error Modeling of Motorized Spindle Based on HPO-ELM
Thermal error of motorized spindle rotor is the main factor leading to machining error of machine tool.In order to accu-rately predict the thermal error of motorized spindle,the thermal error modeling research based on HPO-ELM was carried out.The tem-perature rise and thermal error data of motorized spindle were collected,and they were analyzed using Kmeans++clustering and grey re-lational degree theory.The thermal error modeling method of extreme learning machine based on hunter-prey algorithm was proposed.Fi-nally,the thermal error prediction model of motorized spindle was established.The thermal error of motorized spindle was simulated and analyzed,and the accuracy of thermal error prediction was compared with that of ELM and GA-ELM methods.The results show that compared with ELM and GA-ELM methods,the thermal error model based on HPO-ELM has higher accuracy,the prediction accuracy can reach 98.08％,and the prediction residual value is less than 1 pm,which proves that the model has better prediction accuracy and robustness.
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