在当前的电气应用中,变频器控制系统应用广泛,但面临的挑战也愈发明显.特别是在能耗管理方面,由于其缺乏智能调控频段能耗的能力,系统整体能耗偏高.为此,文章提出基于自适应比例-积分-微分(Proportional Integral Derivative,PID)算法的变频器节能控制系统设计.构建以微处理器为核心的变频器节能控制结构,将神经网络与PID控制器相结合,构造自适应PID控制器.结合变频器节能控制结构的能耗计算与反馈,通过自适应调节权值系数完成变频系数调整,降低各频段能耗,实现变频器节能控制研究.实验结果显示,该系统节能效果显著,能耗最高仅为20 J,且相较于对比文献,该系统运行稳定,运行时间短,为变频器节能控制运行提供了保障.
Design of Energy-Saving Control System of Inverter Based on Adaptive PID Algorithm
In current electrical applications,frequency converter control systems are widely used,but the challenges they face are becoming increasingly apparent.Especially in terms of energy consumption management,due to the lack of intelligent regulation of frequency band energy consumption,the overall energy consumption of the system is relatively high.Therefore,the article proposes the design of an energy-saving control system for frequency converters based on the Adaptive Proportional Integral Derivative(PID)algorithm.Build an energy-saving control structure for frequency converters with microprocessors as the core,combine neural networks with PID controllers,and construct an adaptive PID controller.By combining the energy consumption calculation and feedback of the energy-saving control structure of the frequency converter,the frequency conversion coefficient adjustment is completed through adaptive adjustment of the weight coefficient,reducing the energy consumption of each frequency band,and achieving energy-saving control research of the frequency converter.The experimental results show that the system has a significant energy-saving effect,with a maximum energy consumption of only 20 J.Compared with the comparative literature,the system operates stably and has a short running time,providing a guarantee for energy-saving control of the frequency converter.
adaptive Proportional Integral Derivative(PID)controllerfrequency converterenergy saving control systemneural network learning
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