【摘要】 针对非封闭式熔融沉积成型(FDM)技术3D打印机喷头温度受环境温度、打印机内部加热元件、打印喷头系统的散热性能和空气流速等因素的影响,喷头温度的控制变得复杂且呈非线性,传统比例—积分—微分(PID)控制无法满足打印需求的问题,提出改进鲸鱼优化的反向传播(BP)-PID控制器对PID参数自适应控制,从而对喷头温度精确控制。实验表明:改进的鲸鱼优化算法比遗传算法与粒子群算法寻优能力更强,且经改进鲸鱼算法优化的BP-PID喷头温度控制器稳定速度更快,自适应能力更强。更多还原

【Abstract】 Aiming at the problem that enclosed fused deposition modeling(FDM) 3D printer nozzle temperature affected by environmental temperature,internal heating element of printer,cooling performance of the printing,spray system and the air flow velocity,nozzle temperature control change complicated and non-linear,the traditional proportional-integral-differential(PID) control can’t meet the demand for printing,an improved whales is put forward to optimize back propagation(BP)-PID controller of PID parameter adaptive control,thus can accurately control the nozzle temperature.The experimental results show that optimizing ability of the improved whale optimization algorithm is stronger than the genetic algorithm and particle swarm optimization algorithm,and nozzle temperature controller based on BP-PID optimized by the improved whale algorithm has a faster stable speed and stronger adaptive ability.更多还原