摘要
高压开关柜的电气自动控制系统需要精确地处理各种输入信号,如电压、电流、温度等,并根据这些信号来做出决策,然而,由于信号数据的复杂性和不确定性,控制系统难以完全准确地描述和预测系统的行为,从而导致控制效果不佳。对此,提出基于改进麻雀算法的高压开关柜电气自动控制。首先,设计可实现高压开关柜电气控制的PID控制器,利用改进BP神经网络调整PID控制器的参数,实现自动控制;其次,根据高压开关柜运行状态的评价结果设计目标函数,基于改进麻雀算法,利用目标函数的寻优结果来调整PID控制器的参数,实现最终的高压开关柜电气自动控制。实验结果表明,所提方法的高压开关柜电气自动控制精度更高、效果更好、且更适合于实际应用。
The electrical automatic control system of high-voltage switchgear needs to accurately process various input signals,such as voltage,current,temperature,etc.,and make decisions based on these signals.However,due to the complexity and uncertainty of signal data,the control system is difficult to fully and accurately describe and predict the system’s behavior,resulting in poor control effectiveness.In this regard,an improved sparrow algorithm based electrical automatic control for high-voltage switchgear is proposed.Firstly,design a PID controller that can achieve electrical control of high-voltage switchgear,and use an improved BP neural network to adjust the parameters of the PID controller to achieve automatic control.Secondly,based on the evaluation results of the operation status of the high-voltage switchgear,an objective function is designed.Based on the improved sparrow algorithm,the optimization results of the objective function are used to adjust the parameters of the PID controller,achieving the final electrical automatic control of the high-voltage switchgear.The experimental results show that the proposed method for electrical automatic control of high-voltage switchgear has higher accuracy,better effectiveness,and is more suitable for practical applications.
作者
陆锐杰
徐珂薇
LU Ruijie;XU Kewei(GuoEnergy Changzhou Power Generation Co.,Ltd.,Changzhou 213000,China)
出处
《自动化与仪表》
2024年第11期34-38,共5页
Automation & Instrumentation
关键词
高压开关柜
改进麻雀算法
PID控制器
改进BP神经网络
电气自动控制
high voltage switchgear
improved sparrow algorithm
PID controller
improved BP neural network
electrical automatic control
