基于粒子群算法参数自我调整的罐区液位自动化控制方法设计

Design of automatic control method for tank level based on particle swarm optimization algorithm parameter self adjustment

由于采集的罐区液位信号存在大量的干扰信号,导致控制器输出的操作量不准确,从而使得液位控制值与目标值的偏差较大,控制精度偏低。为此,提出基于粒子群算法参数自我调整的罐区液位自动化控制。依据罐区的结构特点与液位控制目标,求取液位变化率与液位二阶加时滞函数,进而设计罐区模型结构,结合预设的控制逻辑和液位传感器提供的实时数据构造液位自动化控制器,并通过对罐区液位输入信号进行采样和滤波,以剔除干扰信号,由此计算输出操作量,基于此,引入粒子群算法参数自我调整方法对控制器的参数进行自适应整定,从而优化控制器参量,实现罐区液位的控制。实验结果表明,利用所提方法对罐区液位进行控制后,输出的控制值与目标值基本相符,控制精度较高。

Due to the presence of a large number of interference signals in the collected tank area liquid level signals,the controller outputs inaccurate operating quantities,resulting in a large deviation between the liquid level control value and the target value,and a low control accuracy.To this end,a tank level automatic control based on particle swarm optimization algorithm parameter self adjustment is proposed.Based on the structural characteristics and liquid level control objectives of the tank area,the liquid level change rate and the second-order time-delay function of the liquid level are calculated.Then,the tank area model structure is designed,and a liquid level automation controller is constructed by combining the preset control logic and real-time data provided by the liquid level sensor.By sampling and filtering the input signal of the tank area liquid level,interference signals are eliminated,and the output operation quantity is calculated.Based on this,a particle swarm optimization algorithm parameter self adjustment method is introduced to adaptively adjust the controller parameters,thereby optimizing the controller parameters and achieving the control of the tank area liquid level.The experimental results show that after using the proposed method to control the liquid level in the tank area,the output control value is basically consistent with the target value,and the control accuracy is high.