Hard anodizing power supply is an important part of the equipment to deal with metal surface.
硬质阳极化电源是对金属表面进行处理的装置。
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。