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叶片型面尺寸精度及表面质量的提高对数控抛光伺服系统性能提出了更高的要求.针对非线性摩擦和被控对象参数摄动对数控抛光伺服系统定位精度和跟踪精度的影响,提出了一种基于干扰观测器的粒子群优化模糊PID(PFPID)控制方法.该方法通过构造干扰观测器来预测伺服系统中的非线性摩擦和参数摄动等各种干扰,并在控制中引入等效的补偿来抑制干扰,同时利用粒子群优化算法对模糊控制器的量化因子和比例因子进行在线调整,进而利用模糊控制器对PID控制参数进行自适应整定.仿真分析和实验结果表明,基于干扰观测器的PFPID控制器具有控制精度高、鲁棒性强、抑制干扰能力强等优点,其能够提高叶片型面尺寸精度和表面一致性,降低表面粗糙度,减小残余应力并提高抛光效率.
Increasing the dimensional accuracy and the surface quality of the blade profile put forward higher requirements on the performance of CNC polishing servo system.Aiming at the influence of nonlinear friction and controlled parameter perturbation on the positioning accuracy and tracking accuracy of NC polishing servo system, Based on interference observer-based particle swarm optimization fuzzy PID (PFPID) control method, this method constructs disturbance observer to predict various disturbances such as nonlinear friction and parameter perturbation in servo system, and introduces equivalent Compensation to suppress interference, while using particle swarm optimization algorithm on the fuzzy controller of the quantitative factor and scale factor online adjustment, and then use the fuzzy controller to PID control parameters adaptive tuning.Analysis and experimental results show that the interference observer The PFPID controller has the advantages of high control precision, strong robustness and strong suppression of interference, which can improve the dimensional precision and the surface consistency of the blade profile, reduce the surface roughness, reduce the residual stress and improve the polishing efficiency.