Anodizing power supply is one of the most significant equipments that aluminum and its alloys workpieces of war industry are anodized frequently.
阳极化电源是军工产品在进行硬质极化时频繁使用的关键设备之一,过去硬质阳极化过程中使用单机电源,工作人员需要经常进入非常恶劣的工作环境之中长时间工作,这对他们的身体健康是不小的威胁,而且效率十分低下。
With anodizing power supply as research background and aiming at such features as the constant current,strong ability to resist disturbance,small-overshoot and fierce changing operation mode,etc required by anodizing galvanization,the single neuron PID algorithm is optimized and improved in many aspects.
以阳极化电源为研究背景,并针对阳极化电镀要求恒流、抗干扰能力强、超调小且工况变化剧烈等特点,对单神经元PID算法进行了多方面的优化和改进。
