数控机床智能控制系统鲁棒性策略研究

RESEARCH ON ROBUSTNESS STRATEGY OF THE INTELLIGENT CONTROL SYSTEM FOR NC MACHINE TOOL

在分析不可预测扰动和可预测扰动对智能控制系统鲁棒性影响的基础上，提出了提高智能控制系统鲁棒性的相应策略，并用遗传算法对控制参数进行优化。在数控机床液压油温智能控制系统和数控机床加工误差补偿系统中获得了较好应用。

The influences on intelligent control system＇s robustness of unpredictable disturbances and predictable disturbances are presented, some strategy of decreasing these influences and an control parameter optimization algorithm are also given. Moreover, the improving performance using these methods is testified by two practical application examples, the intelligent oil temperature control system and the machining error compensation system.